2025-09-25 00:24:09 [INFO] Load config from ./configs/CIFAR10_alpha0.05.yaml 2025-09-25 00:24:09 [INFO] config: {'exp_name': 'CIFAR10_alpha0.05', 'dataset': {'data_name': 'CIFAR10', 'root_path': 'H:/codes/dataset', 'train_batch_size': 512, 'test_batch_size': 256, 'channels': 3, 'num_classes': 10, 'image_size': 32}, 'distribution': {'type': 'dirichlet', 'label_num_per_client': 2, 'alpha': 0.05}, 'client': {'num_clients': 5}, 'server': {'num_rounds': 300, 'frac_clients': 1.0, 'lr': 0.05, 'local_epochs': 1, 'optimizer': 'sgd', 'momentum': 0.9, 'weight_decay': 0.0001, 'loss_name': 'ce', 'model_name': 'resnet18', 'aggregated_by_datasize': True, 'lr_decay_per_round': 0.998}, 'device': 'cuda:0', 'checkpoint': {'save_path': './checkpoints/', 'save_freq': 5, 'result_file': 'CIFAR10_results.yaml'}, 'pretrain': {'lr': 0.01, 'epoch': 70, 'model_path': './pretrain/', 'momentum': 0.9, 'weight_decay': 0.0001, 'model_name': 'resnet18', 'model_file_name': 'resnet18-f37072fd.pth'}, 'DBCD': {'alpha_l_pa': 1, 'alpha_l_pb': 1, 'alpha_l_pc': 0.0, 'Beta_alpha': 0.2, 'unsup_method': 'infonce', 'contrastive_temperature': 0.5, 'encoder_epoch': 40, 'projector_epoch': 10, 'use_pretrain': False, 'aug_batch_size': 512, 'encoder_lr': 0.03, 'cls_optimizer': 'sgd', 'cls_lr': 0.05, 'supcon_temp': 0.07, 'super_gr': 100, 'aux_with_public': True}, 'etf': {'loss_name': 'ce'}, 'visualization': {'interval': 5, 'save_path': 'visualization/resnet18', 'vis_size': 16}, 'resume': True, 'resume_best': False, 'seed': 1} 2025-09-25 00:24:11 [INFO] Dataset CIFAR10 loaded 2025-09-25 00:24:11 [INFO] Dataset index dict loaded from preprocessed_data/CIFAR10.pt 2025-09-25 00:24:11 [INFO] OneshotOurs 2025-09-25 00:24:12 [INFO] Round 0 starts--------| 2025-09-25 00:24:12 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:24:19 [INFO] generating sample per sample 2025-09-25 00:25:07 [INFO] Epoch 0 loss: 587.2354698181152; train accuracy: 0.2849542025862069; test accuracy: 0.1704 2025-09-25 00:25:08 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:25:09 [INFO] generating sample per sample 2025-09-25 00:25:22 [INFO] Epoch 0 loss: 111.66062211990356; train accuracy: 0.7521033653846154; test accuracy: 0.1144 2025-09-25 00:25:22 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:25:24 [INFO] generating sample per sample 2025-09-25 00:25:36 [INFO] Epoch 0 loss: 119.02467727661133; train accuracy: 0.8494318181818182; test accuracy: 0.1 2025-09-25 00:25:37 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:25:43 [INFO] generating sample per sample 2025-09-25 00:26:25 [INFO] Epoch 0 loss: 476.7403335571289; train accuracy: 0.25748005319148937; test accuracy: 0.1275 2025-09-25 00:26:25 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:26:30 [INFO] generating sample per sample 2025-09-25 00:26:57 [INFO] Epoch 0 loss: 301.0083131790161; train accuracy: 0.4014973958333333; test accuracy: 0.1272 2025-09-25 00:26:58 [INFO] Round 0 Finish--------| 2025-09-25 00:26:58 [INFO] Model variance: mean: 0.0005094854277558625, sum: 5692.96533203125 2025-09-25 00:26:58 [INFO] g_protos_std: 1.0060614347457886 2025-09-25 00:27:02 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.2829 2025-09-25 00:27:02 [INFO] Round 1 starts--------| 2025-09-25 00:27:02 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:27:50 [INFO] Epoch 1 loss: 538.6883916854858; train accuracy: 0.38200431034482757; test accuracy: 0.2292 2025-09-25 00:27:50 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:28:01 [INFO] Epoch 1 loss: 99.52527666091919; train accuracy: 0.4011418269230769; test accuracy: 0.1174 2025-09-25 00:28:01 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:28:11 [INFO] Epoch 1 loss: 88.68253517150879; train accuracy: 0.8490767045454546; test accuracy: 0.1 2025-09-25 00:28:11 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:28:53 [INFO] Epoch 1 loss: 436.609920501709; train accuracy: 0.4083277925531915; test accuracy: 0.1973 2025-09-25 00:28:53 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:29:18 [INFO] Epoch 1 loss: 256.80935859680176; train accuracy: 0.3204427083333333; test accuracy: 0.1002 2025-09-25 00:29:18 [INFO] Round 1 Finish--------| 2025-09-25 00:29:18 [INFO] Model variance: mean: 0.0006434027454815805, sum: 7189.35107421875 2025-09-25 00:29:18 [INFO] g_protos_std: 1.006077766418457 2025-09-25 00:29:22 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.345 2025-09-25 00:29:22 [INFO] Round 2 starts--------| 2025-09-25 00:29:22 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:30:10 [INFO] Epoch 2 loss: 519.4625701904297; train accuracy: 0.267578125; test accuracy: 0.1555 2025-09-25 00:30:10 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:30:22 [INFO] Epoch 2 loss: 97.84989500045776; train accuracy: 0.7880108173076923; test accuracy: 0.1555 2025-09-25 00:30:22 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:30:33 [INFO] Epoch 2 loss: 86.24399900436401; train accuracy: 0.29456676136363635; test accuracy: 0.0996 2025-09-25 00:30:33 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:31:11 [INFO] Epoch 2 loss: 416.98790168762207; train accuracy: 0.30265126329787234; test accuracy: 0.1676 2025-09-25 00:31:11 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:31:38 [INFO] Epoch 2 loss: 248.02006721496582; train accuracy: 0.6583333333333333; test accuracy: 0.2085 2025-09-25 00:31:38 [INFO] Round 2 Finish--------| 2025-09-25 00:31:38 [INFO] Model variance: mean: 0.0007657800451852381, sum: 8556.7890625 2025-09-25 00:31:38 [INFO] g_protos_std: 1.0060986280441284 2025-09-25 00:31:43 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.354 2025-09-25 00:31:43 [INFO] Round 3 starts--------| 2025-09-25 00:31:43 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:32:31 [INFO] Epoch 3 loss: 502.907527923584; train accuracy: 0.3655711206896552; test accuracy: 0.2167 2025-09-25 00:32:31 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:32:44 [INFO] Epoch 3 loss: 96.72761011123657; train accuracy: 0.5380108173076923; test accuracy: 0.1361 2025-09-25 00:32:44 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:32:56 [INFO] Epoch 3 loss: 86.8564944267273; train accuracy: 0.84765625; test accuracy: 0.1005 2025-09-25 00:32:56 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:33:36 [INFO] Epoch 3 loss: 418.0068988800049; train accuracy: 0.4943484042553192; test accuracy: 0.2633 2025-09-25 00:33:36 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:34:02 [INFO] Epoch 3 loss: 243.0807809829712; train accuracy: 0.6505208333333333; test accuracy: 0.2047 2025-09-25 00:34:02 [INFO] Round 3 Finish--------| 2025-09-25 00:34:02 [INFO] Model variance: mean: 0.000869909068569541, sum: 9720.322265625 2025-09-25 00:34:02 [INFO] g_protos_std: 1.006115198135376 2025-09-25 00:34:07 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.3819 2025-09-25 00:34:07 [INFO] Round 4 starts--------| 2025-09-25 00:34:07 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:34:55 [INFO] Epoch 4 loss: 491.87415981292725; train accuracy: 0.44874730603448276; test accuracy: 0.2712 2025-09-25 00:34:55 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:35:08 [INFO] Epoch 4 loss: 96.22553205490112; train accuracy: 0.8330829326923077; test accuracy: 0.1454 2025-09-25 00:35:08 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:35:19 [INFO] Epoch 4 loss: 86.19061994552612; train accuracy: 0.8488991477272727; test accuracy: 0.1012 2025-09-25 00:35:19 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:35:57 [INFO] Epoch 4 loss: 401.161741733551; train accuracy: 0.4356715425531915; test accuracy: 0.2252 2025-09-25 00:35:57 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:36:25 [INFO] Epoch 4 loss: 239.08476448059082; train accuracy: 0.5588541666666667; test accuracy: 0.1734 2025-09-25 00:36:25 [INFO] Round 4 Finish--------| 2025-09-25 00:36:25 [INFO] Model variance: mean: 0.0009634714224375784, sum: 10765.783203125 2025-09-25 00:36:25 [INFO] g_protos_std: 1.0061322450637817 2025-09-25 00:36:30 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.4062 2025-09-25 00:36:30 [INFO] Round 5 starts--------| 2025-09-25 00:36:30 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:37:19 [INFO] Epoch 5 loss: 480.0229616165161; train accuracy: 0.5295662715517241; test accuracy: 0.3134 2025-09-25 00:37:20 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:37:33 [INFO] Epoch 5 loss: 96.26849317550659; train accuracy: 0.8058894230769231; test accuracy: 0.1344 2025-09-25 00:37:34 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:37:45 [INFO] Epoch 5 loss: 86.77839088439941; train accuracy: 0.8499644886363636; test accuracy: 0.1024 2025-09-25 00:37:46 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:38:27 [INFO] Epoch 5 loss: 390.173171043396; train accuracy: 0.5592586436170213; test accuracy: 0.2834 2025-09-25 00:38:28 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:38:56 [INFO] Epoch 5 loss: 235.77931213378906; train accuracy: 0.6899088541666667; test accuracy: 0.2181 2025-09-25 00:38:57 [INFO] Round 5 Finish--------| 2025-09-25 00:38:57 [INFO] Model variance: mean: 0.0010520099895074964, sum: 11755.109375 2025-09-25 00:38:57 [INFO] g_protos_std: 1.006147861480713 2025-09-25 00:39:02 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.4116 2025-09-25 00:39:02 [INFO] Round 6 starts--------| 2025-09-25 00:39:02 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:39:49 [INFO] Epoch 6 loss: 467.55148792266846; train accuracy: 0.48834859913793105; test accuracy: 0.2956 2025-09-25 00:39:49 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:40:01 [INFO] Epoch 6 loss: 95.50773334503174; train accuracy: 0.8422475961538461; test accuracy: 0.1547 2025-09-25 00:40:01 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:40:13 [INFO] Epoch 6 loss: 86.01531076431274; train accuracy: 0.8485440340909091; test accuracy: 0.1 2025-09-25 00:40:13 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:40:51 [INFO] Epoch 6 loss: 390.9604320526123; train accuracy: 0.568110039893617; test accuracy: 0.2967 2025-09-25 00:40:51 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:41:17 [INFO] Epoch 6 loss: 230.76768112182617; train accuracy: 0.7064453125; test accuracy: 0.2228 2025-09-25 00:41:17 [INFO] Round 6 Finish--------| 2025-09-25 00:41:17 [INFO] Model variance: mean: 0.0011349194683134556, sum: 12681.53515625 2025-09-25 00:41:17 [INFO] g_protos_std: 1.0061638355255127 2025-09-25 00:41:22 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.4383 2025-09-25 00:41:22 [INFO] Round 7 starts--------| 2025-09-25 00:41:22 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:42:09 [INFO] Epoch 7 loss: 458.2994112968445; train accuracy: 0.5842874461206896; test accuracy: 0.3509 2025-09-25 00:42:09 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:42:22 [INFO] Epoch 7 loss: 95.57061529159546; train accuracy: 0.8861177884615384; test accuracy: 0.1641 2025-09-25 00:42:22 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:42:34 [INFO] Epoch 7 loss: 85.99749660491943; train accuracy: 0.8480113636363636; test accuracy: 0.1014 2025-09-25 00:42:34 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:43:16 [INFO] Epoch 7 loss: 384.78626251220703; train accuracy: 0.6105385638297872; test accuracy: 0.3103 2025-09-25 00:43:16 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:43:42 [INFO] Epoch 7 loss: 233.25836277008057; train accuracy: 0.7876953125; test accuracy: 0.2503 2025-09-25 00:43:42 [INFO] Round 7 Finish--------| 2025-09-25 00:43:42 [INFO] Model variance: mean: 0.0012102874461561441, sum: 13523.693359375 2025-09-25 00:43:42 [INFO] g_protos_std: 1.0061806440353394 2025-09-25 00:43:47 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.4599 2025-09-25 00:43:47 [INFO] Round 8 starts--------| 2025-09-25 00:43:47 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:44:36 [INFO] Epoch 8 loss: 455.2025842666626; train accuracy: 0.6374259159482759; test accuracy: 0.3804 2025-09-25 00:44:36 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:44:49 [INFO] Epoch 8 loss: 94.56321144104004; train accuracy: 0.6248497596153846; test accuracy: 0.1458 2025-09-25 00:44:49 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:45:01 [INFO] Epoch 8 loss: 85.53218603134155; train accuracy: 0.8467684659090909; test accuracy: 0.1059 2025-09-25 00:45:01 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:45:40 [INFO] Epoch 8 loss: 381.7124857902527; train accuracy: 0.6268700132978723; test accuracy: 0.3167 2025-09-25 00:45:40 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:46:05 [INFO] Epoch 8 loss: 232.73977613449097; train accuracy: 0.7072916666666667; test accuracy: 0.2345 2025-09-25 00:46:05 [INFO] Round 8 Finish--------| 2025-09-25 00:46:05 [INFO] Model variance: mean: 0.001285718404687941, sum: 14366.5556640625 2025-09-25 00:46:05 [INFO] g_protos_std: 1.0061911344528198 2025-09-25 00:46:10 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.4787 2025-09-25 00:46:10 [INFO] Round 9 starts--------| 2025-09-25 00:46:10 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:47:00 [INFO] Epoch 9 loss: 446.0847840309143; train accuracy: 0.731377963362069; test accuracy: 0.4322 2025-09-25 00:47:00 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:47:14 [INFO] Epoch 9 loss: 93.64683532714844; train accuracy: 0.7941706730769231; test accuracy: 0.1303 2025-09-25 00:47:14 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:47:25 [INFO] Epoch 9 loss: 84.77826023101807; train accuracy: 0.8485440340909091; test accuracy: 0.1 2025-09-25 00:47:25 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:48:04 [INFO] Epoch 9 loss: 371.92750453948975; train accuracy: 0.6112865691489362; test accuracy: 0.3104 2025-09-25 00:48:04 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:48:27 [INFO] Epoch 9 loss: 229.3117914199829; train accuracy: 0.7359375; test accuracy: 0.2346 2025-09-25 00:48:27 [INFO] Round 9 Finish--------| 2025-09-25 00:48:27 [INFO] Model variance: mean: 0.0013583410764113069, sum: 15178.0380859375 2025-09-25 00:48:27 [INFO] g_protos_std: 1.0062048435211182 2025-09-25 00:48:32 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.4995 2025-09-25 00:48:32 [INFO] Round 10 starts--------| 2025-09-25 00:48:32 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:49:17 [INFO] Epoch 10 loss: 438.18964195251465; train accuracy: 0.6090382543103449; test accuracy: 0.3643 2025-09-25 00:49:17 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:49:29 [INFO] Epoch 10 loss: 95.01918649673462; train accuracy: 0.8826622596153846; test accuracy: 0.1652 2025-09-25 00:49:30 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:49:42 [INFO] Epoch 10 loss: 85.54242277145386; train accuracy: 0.8497869318181818; test accuracy: 0.1 2025-09-25 00:49:42 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:50:20 [INFO] Epoch 10 loss: 364.35732412338257; train accuracy: 0.617935505319149; test accuracy: 0.3138 2025-09-25 00:50:20 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:50:47 [INFO] Epoch 10 loss: 228.2423849105835; train accuracy: 0.7995442708333333; test accuracy: 0.2549 2025-09-25 00:50:47 [INFO] Round 10 Finish--------| 2025-09-25 00:50:47 [INFO] Model variance: mean: 0.0014295080909505486, sum: 15973.2548828125 2025-09-25 00:50:47 [INFO] g_protos_std: 1.0062235593795776 2025-09-25 00:50:52 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.4973 2025-09-25 00:50:52 [INFO] Round 11 starts--------| 2025-09-25 00:50:52 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:51:43 [INFO] Epoch 11 loss: 436.5971779823303; train accuracy: 0.7855940193965517; test accuracy: 0.4656 2025-09-25 00:51:43 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:51:55 [INFO] Epoch 11 loss: 95.09881687164307; train accuracy: 0.8323317307692307; test accuracy: 0.1452 2025-09-25 00:51:55 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:52:07 [INFO] Epoch 11 loss: 85.54518747329712; train accuracy: 0.8469460227272727; test accuracy: 0.1 2025-09-25 00:52:07 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:52:47 [INFO] Epoch 11 loss: 356.7060070037842; train accuracy: 0.7083610372340425; test accuracy: 0.3569 2025-09-25 00:52:47 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:53:13 [INFO] Epoch 11 loss: 223.4929642677307; train accuracy: 0.7616536458333333; test accuracy: 0.2451 2025-09-25 00:53:13 [INFO] Round 11 Finish--------| 2025-09-25 00:53:13 [INFO] Model variance: mean: 0.0014978684484958649, sum: 16737.109375 2025-09-25 00:53:13 [INFO] g_protos_std: 1.0062408447265625 2025-09-25 00:53:18 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.5003 2025-09-25 00:53:18 [INFO] Round 12 starts--------| 2025-09-25 00:53:18 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:54:05 [INFO] Epoch 12 loss: 427.6887969970703; train accuracy: 0.6886786099137931; test accuracy: 0.4045 2025-09-25 00:54:05 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:54:18 [INFO] Epoch 12 loss: 94.8439302444458; train accuracy: 0.8366887019230769; test accuracy: 0.1446 2025-09-25 00:54:18 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:54:29 [INFO] Epoch 12 loss: 84.99889373779297; train accuracy: 0.8595525568181818; test accuracy: 0.1181 2025-09-25 00:54:29 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:55:10 [INFO] Epoch 12 loss: 350.98872470855713; train accuracy: 0.5910904255319149; test accuracy: 0.3034 2025-09-25 00:55:10 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:55:36 [INFO] Epoch 12 loss: 222.7364821434021; train accuracy: 0.7667317708333333; test accuracy: 0.2559 2025-09-25 00:55:36 [INFO] Round 12 Finish--------| 2025-09-25 00:55:36 [INFO] Model variance: mean: 0.001562669756822288, sum: 17461.197265625 2025-09-25 00:55:36 [INFO] g_protos_std: 1.0062569379806519 2025-09-25 00:55:41 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.5258 2025-09-25 00:55:41 [INFO] Round 13 starts--------| 2025-09-25 00:55:41 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:56:28 [INFO] Epoch 13 loss: 418.2490520477295; train accuracy: 0.7361934267241379; test accuracy: 0.4336 2025-09-25 00:56:28 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:56:41 [INFO] Epoch 13 loss: 94.24886703491211; train accuracy: 0.8915264423076923; test accuracy: 0.1788 2025-09-25 00:56:41 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:56:52 [INFO] Epoch 13 loss: 84.69468021392822; train accuracy: 0.6860795454545454; test accuracy: 0.1222 2025-09-25 00:56:52 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:57:30 [INFO] Epoch 13 loss: 345.24324464797974; train accuracy: 0.6647689494680851; test accuracy: 0.3359 2025-09-25 00:57:30 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:57:56 [INFO] Epoch 13 loss: 223.42288494110107; train accuracy: 0.794921875; test accuracy: 0.2549 2025-09-25 00:57:56 [INFO] Round 13 Finish--------| 2025-09-25 00:57:56 [INFO] Model variance: mean: 0.0016244584694504738, sum: 18151.62109375 2025-09-25 00:57:56 [INFO] g_protos_std: 1.0062720775604248 2025-09-25 00:58:01 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.5262 2025-09-25 00:58:01 [INFO] Round 14 starts--------| 2025-09-25 00:58:01 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:58:49 [INFO] Epoch 14 loss: 416.20804738998413; train accuracy: 0.6847723599137931; test accuracy: 0.4043 2025-09-25 00:58:49 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:59:03 [INFO] Epoch 14 loss: 94.19515228271484; train accuracy: 0.8820612980769231; test accuracy: 0.1815 2025-09-25 00:59:03 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:59:15 [INFO] Epoch 14 loss: 85.19730758666992; train accuracy: 0.8513849431818182; test accuracy: 0.1014 2025-09-25 00:59:15 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:59:55 [INFO] Epoch 14 loss: 341.9978642463684; train accuracy: 0.759017619680851; test accuracy: 0.3788 2025-09-25 00:59:55 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:00:21 [INFO] Epoch 14 loss: 221.28468894958496; train accuracy: 0.7795572916666667; test accuracy: 0.2591 2025-09-25 01:00:21 [INFO] Round 14 Finish--------| 2025-09-25 01:00:21 [INFO] Model variance: mean: 0.001683650305494666, sum: 18813.02734375 2025-09-25 01:00:21 [INFO] g_protos_std: 1.0062834024429321 2025-09-25 01:00:27 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.5424 2025-09-25 01:00:27 [INFO] Round 15 starts--------| 2025-09-25 01:00:27 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:01:15 [INFO] Epoch 15 loss: 419.28046321868896; train accuracy: 0.7935075431034483; test accuracy: 0.4676 2025-09-25 01:01:16 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:01:28 [INFO] Epoch 15 loss: 94.6563138961792; train accuracy: 0.740234375; test accuracy: 0.1637 2025-09-25 01:01:28 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:01:40 [INFO] Epoch 15 loss: 84.9124116897583; train accuracy: 0.8513849431818182; test accuracy: 0.103 2025-09-25 01:01:41 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:02:22 [INFO] Epoch 15 loss: 334.15918827056885; train accuracy: 0.7521193484042553; test accuracy: 0.378 2025-09-25 01:02:22 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:02:50 [INFO] Epoch 15 loss: 220.42837858200073; train accuracy: 0.7509765625; test accuracy: 0.2439 2025-09-25 01:02:50 [INFO] Round 15 Finish--------| 2025-09-25 01:02:50 [INFO] Model variance: mean: 0.0017427655402570963, sum: 19473.578125 2025-09-25 01:02:50 [INFO] g_protos_std: 1.006298303604126 2025-09-25 01:02:55 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.5447 2025-09-25 01:02:55 [INFO] Round 16 starts--------| 2025-09-25 01:02:55 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:03:45 [INFO] Epoch 16 loss: 414.01959323883057; train accuracy: 0.7674771012931034; test accuracy: 0.454 2025-09-25 01:03:45 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:03:59 [INFO] Epoch 16 loss: 93.46135473251343; train accuracy: 0.89453125; test accuracy: 0.1748 2025-09-25 01:03:59 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:04:10 [INFO] Epoch 16 loss: 84.95464515686035; train accuracy: 0.8469460227272727; test accuracy: 0.1002 2025-09-25 01:04:10 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:04:51 [INFO] Epoch 16 loss: 336.19592475891113; train accuracy: 0.7588929521276596; test accuracy: 0.3796 2025-09-25 01:04:51 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:05:18 [INFO] Epoch 16 loss: 219.29514694213867; train accuracy: 0.850390625; test accuracy: 0.3061 2025-09-25 01:05:18 [INFO] Round 16 Finish--------| 2025-09-25 01:05:18 [INFO] Model variance: mean: 0.0017980026314035058, sum: 20090.794921875 2025-09-25 01:05:18 [INFO] g_protos_std: 1.0063077211380005 2025-09-25 01:05:23 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.5655 2025-09-25 01:05:23 [INFO] Round 17 starts--------| 2025-09-25 01:05:23 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:06:13 [INFO] Epoch 17 loss: 408.7343053817749; train accuracy: 0.8039129849137931; test accuracy: 0.4724 2025-09-25 01:06:13 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:06:25 [INFO] Epoch 17 loss: 96.7244815826416; train accuracy: 0.8530649038461539; test accuracy: 0.1767 2025-09-25 01:06:25 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:06:36 [INFO] Epoch 17 loss: 84.72430849075317; train accuracy: 0.8529829545454546; test accuracy: 0.1048 2025-09-25 01:06:36 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:07:16 [INFO] Epoch 17 loss: 331.84785318374634; train accuracy: 0.8203125; test accuracy: 0.408 2025-09-25 01:07:16 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:07:43 [INFO] Epoch 17 loss: 218.68852424621582; train accuracy: 0.8402994791666667; test accuracy: 0.3049 2025-09-25 01:07:43 [INFO] Round 17 Finish--------| 2025-09-25 01:07:43 [INFO] Model variance: mean: 0.0018538176082074642, sum: 20714.46875 2025-09-25 01:07:43 [INFO] g_protos_std: 1.0063196420669556 2025-09-25 01:07:48 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.5679 2025-09-25 01:07:48 [INFO] Round 18 starts--------| 2025-09-25 01:07:48 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:08:37 [INFO] Epoch 18 loss: 399.67599153518677; train accuracy: 0.8232421875; test accuracy: 0.4846 2025-09-25 01:08:37 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:08:50 [INFO] Epoch 18 loss: 94.19789743423462; train accuracy: 0.8046875; test accuracy: 0.1717 2025-09-25 01:08:50 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:09:01 [INFO] Epoch 18 loss: 84.54634952545166; train accuracy: 0.8607954545454546; test accuracy: 0.118 2025-09-25 01:09:01 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:09:42 [INFO] Epoch 18 loss: 333.62059783935547; train accuracy: 0.761968085106383; test accuracy: 0.3809 2025-09-25 01:09:42 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:10:08 [INFO] Epoch 18 loss: 217.46959161758423; train accuracy: 0.7884114583333334; test accuracy: 0.2617 2025-09-25 01:10:08 [INFO] Round 18 Finish--------| 2025-09-25 01:10:08 [INFO] Model variance: mean: 0.0019080813508480787, sum: 21320.80859375 2025-09-25 01:10:08 [INFO] g_protos_std: 1.0063354969024658 2025-09-25 01:10:13 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.5612 2025-09-25 01:10:13 [INFO] Round 19 starts--------| 2025-09-25 01:10:13 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:10:59 [INFO] Epoch 19 loss: 404.4775757789612; train accuracy: 0.842706088362069; test accuracy: 0.4976 2025-09-25 01:10:59 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:11:12 [INFO] Epoch 19 loss: 94.02808570861816; train accuracy: 0.8706430288461539; test accuracy: 0.1817 2025-09-25 01:11:12 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:11:23 [INFO] Epoch 19 loss: 84.65518140792847; train accuracy: 0.8487215909090909; test accuracy: 0.1003 2025-09-25 01:11:23 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:12:03 [INFO] Epoch 19 loss: 330.2565793991089; train accuracy: 0.8098819813829787; test accuracy: 0.4005 2025-09-25 01:12:03 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:12:29 [INFO] Epoch 19 loss: 216.06577587127686; train accuracy: 0.6763020833333333; test accuracy: 0.2227 2025-09-25 01:12:29 [INFO] Round 19 Finish--------| 2025-09-25 01:12:29 [INFO] Model variance: mean: 0.001961154630407691, sum: 21913.84765625 2025-09-25 01:12:29 [INFO] g_protos_std: 1.0063502788543701 2025-09-25 01:12:34 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.581 2025-09-25 01:12:34 [INFO] Round 20 starts--------| 2025-09-25 01:12:34 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:13:24 [INFO] Epoch 20 loss: 398.83373737335205; train accuracy: 0.7462957974137931; test accuracy: 0.4355 2025-09-25 01:13:24 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:13:37 [INFO] Epoch 20 loss: 93.88375329971313; train accuracy: 0.8578725961538461; test accuracy: 0.1778 2025-09-25 01:13:37 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:13:49 [INFO] Epoch 20 loss: 84.51414966583252; train accuracy: 0.8469460227272727; test accuracy: 0.1002 2025-09-25 01:13:50 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:14:29 [INFO] Epoch 20 loss: 327.89679288864136; train accuracy: 0.6655585106382979; test accuracy: 0.3345 2025-09-25 01:14:30 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:14:56 [INFO] Epoch 20 loss: 216.3355197906494; train accuracy: 0.821875; test accuracy: 0.2983 2025-09-25 01:14:56 [INFO] Round 20 Finish--------| 2025-09-25 01:14:56 [INFO] Model variance: mean: 0.0020122092682868242, sum: 22484.330078125 2025-09-25 01:14:56 [INFO] g_protos_std: 1.0063596963882446 2025-09-25 01:15:01 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.5784 2025-09-25 01:15:01 [INFO] Round 21 starts--------| 2025-09-25 01:15:01 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:15:50 [INFO] Epoch 21 loss: 392.4562072753906; train accuracy: 0.8223666487068966; test accuracy: 0.4831 2025-09-25 01:15:50 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:16:03 [INFO] Epoch 21 loss: 95.04485893249512; train accuracy: 0.8688401442307693; test accuracy: 0.1564 2025-09-25 01:16:03 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:16:14 [INFO] Epoch 21 loss: 83.90692281723022; train accuracy: 0.8258167613636364; test accuracy: 0.146 2025-09-25 01:16:14 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:16:54 [INFO] Epoch 21 loss: 330.49893045425415; train accuracy: 0.8014461436170213; test accuracy: 0.3988 2025-09-25 01:16:54 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:17:20 [INFO] Epoch 21 loss: 213.79488468170166; train accuracy: 0.8572265625; test accuracy: 0.2831 2025-09-25 01:17:20 [INFO] Round 21 Finish--------| 2025-09-25 01:17:20 [INFO] Model variance: mean: 0.0020624122116714716, sum: 23045.294921875 2025-09-25 01:17:20 [INFO] g_protos_std: 1.0063761472702026 2025-09-25 01:17:25 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.5896 2025-09-25 01:17:25 [INFO] Round 22 starts--------| 2025-09-25 01:17:25 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:18:14 [INFO] Epoch 22 loss: 400.4039511680603; train accuracy: 0.8291015625; test accuracy: 0.4879 2025-09-25 01:18:14 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:18:27 [INFO] Epoch 22 loss: 94.12889623641968; train accuracy: 0.8728966346153846; test accuracy: 0.1814 2025-09-25 01:18:27 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:18:39 [INFO] Epoch 22 loss: 84.06653213500977; train accuracy: 0.8607954545454546; test accuracy: 0.1279 2025-09-25 01:18:39 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:19:17 [INFO] Epoch 22 loss: 329.4030251502991; train accuracy: 0.7734790558510638; test accuracy: 0.3865 2025-09-25 01:19:17 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:19:45 [INFO] Epoch 22 loss: 217.9346570968628; train accuracy: 0.8096354166666667; test accuracy: 0.2721 2025-09-25 01:19:45 [INFO] Round 22 Finish--------| 2025-09-25 01:19:45 [INFO] Model variance: mean: 0.0021104211919009686, sum: 23581.74609375 2025-09-25 01:19:45 [INFO] g_protos_std: 1.0063836574554443 2025-09-25 01:19:50 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.605 2025-09-25 01:19:50 [INFO] Round 23 starts--------| 2025-09-25 01:19:50 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:20:38 [INFO] Epoch 23 loss: 397.46135568618774; train accuracy: 0.7704741379310345; test accuracy: 0.4544 2025-09-25 01:20:38 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:20:52 [INFO] Epoch 23 loss: 92.93617391586304; train accuracy: 0.8840144230769231; test accuracy: 0.1717 2025-09-25 01:20:52 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:21:04 [INFO] Epoch 23 loss: 83.91989994049072; train accuracy: 0.8625710227272727; test accuracy: 0.118 2025-09-25 01:21:04 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:21:43 [INFO] Epoch 23 loss: 323.3430128097534; train accuracy: 0.8168218085106383; test accuracy: 0.4097 2025-09-25 01:21:43 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:22:08 [INFO] Epoch 23 loss: 212.56408023834229; train accuracy: 0.8173177083333333; test accuracy: 0.293 2025-09-25 01:22:08 [INFO] Round 23 Finish--------| 2025-09-25 01:22:08 [INFO] Model variance: mean: 0.00215962459333241, sum: 24131.541015625 2025-09-25 01:22:08 [INFO] g_protos_std: 1.0063962936401367 2025-09-25 01:22:13 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6164 2025-09-25 01:22:13 [INFO] Round 24 starts--------| 2025-09-25 01:22:13 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:23:05 [INFO] Epoch 24 loss: 390.5982003211975; train accuracy: 0.8407866379310345; test accuracy: 0.4925 2025-09-25 01:23:05 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:23:18 [INFO] Epoch 24 loss: 93.54524183273315; train accuracy: 0.8748497596153846; test accuracy: 0.1598 2025-09-25 01:23:18 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:23:29 [INFO] Epoch 24 loss: 84.37687587738037; train accuracy: 0.857421875; test accuracy: 0.105 2025-09-25 01:23:29 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:24:08 [INFO] Epoch 24 loss: 316.602988243103; train accuracy: 0.6875415558510638; test accuracy: 0.3469 2025-09-25 01:24:08 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:24:34 [INFO] Epoch 24 loss: 213.30783319473267; train accuracy: 0.8213541666666667; test accuracy: 0.2901 2025-09-25 01:24:34 [INFO] Round 24 Finish--------| 2025-09-25 01:24:34 [INFO] Model variance: mean: 0.0022076419554650784, sum: 24668.0859375 2025-09-25 01:24:34 [INFO] g_protos_std: 1.006410002708435 2025-09-25 01:24:39 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6161 2025-09-25 01:24:39 [INFO] Round 25 starts--------| 2025-09-25 01:24:39 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:25:30 [INFO] Epoch 25 loss: 394.682532787323; train accuracy: 0.8263739224137931; test accuracy: 0.4849 2025-09-25 01:25:30 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:25:42 [INFO] Epoch 25 loss: 91.8134617805481; train accuracy: 0.8143028846153846; test accuracy: 0.171 2025-09-25 01:25:43 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:25:54 [INFO] Epoch 25 loss: 83.75963640213013; train accuracy: 0.8503196022727273; test accuracy: 0.102 2025-09-25 01:25:55 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:26:35 [INFO] Epoch 25 loss: 319.60550594329834; train accuracy: 0.7542802526595744; test accuracy: 0.3751 2025-09-25 01:26:35 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:27:01 [INFO] Epoch 25 loss: 209.73613262176514; train accuracy: 0.8223307291666667; test accuracy: 0.3111 2025-09-25 01:27:01 [INFO] Round 25 Finish--------| 2025-09-25 01:27:01 [INFO] Model variance: mean: 0.0022543196100741625, sum: 25189.66015625 2025-09-25 01:27:01 [INFO] g_protos_std: 1.0064224004745483 2025-09-25 01:27:06 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6035 2025-09-25 01:27:06 [INFO] Round 26 starts--------| 2025-09-25 01:27:06 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:27:55 [INFO] Epoch 26 loss: 383.0699043273926; train accuracy: 0.8576912715517241; test accuracy: 0.5022 2025-09-25 01:27:55 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:28:09 [INFO] Epoch 26 loss: 94.08106756210327; train accuracy: 0.8823617788461539; test accuracy: 0.1657 2025-09-25 01:28:09 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:28:20 [INFO] Epoch 26 loss: 84.1655387878418; train accuracy: 0.8567116477272727; test accuracy: 0.1441 2025-09-25 01:28:20 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:29:01 [INFO] Epoch 26 loss: 314.62593603134155; train accuracy: 0.7928025265957447; test accuracy: 0.3956 2025-09-25 01:29:01 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:29:28 [INFO] Epoch 26 loss: 211.26648616790771; train accuracy: 0.8699869791666667; test accuracy: 0.3253 2025-09-25 01:29:28 [INFO] Round 26 Finish--------| 2025-09-25 01:29:28 [INFO] Model variance: mean: 0.002300995634868741, sum: 25711.21484375 2025-09-25 01:29:28 [INFO] g_protos_std: 1.006439208984375 2025-09-25 01:29:33 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6205 2025-09-25 01:29:33 [INFO] Round 27 starts--------| 2025-09-25 01:29:33 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:30:20 [INFO] Epoch 27 loss: 391.80508279800415; train accuracy: 0.858331088362069; test accuracy: 0.5036 2025-09-25 01:30:20 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:30:34 [INFO] Epoch 27 loss: 92.5778169631958; train accuracy: 0.7780949519230769; test accuracy: 0.1625 2025-09-25 01:30:34 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:30:46 [INFO] Epoch 27 loss: 83.60305833816528; train accuracy: 0.8662997159090909; test accuracy: 0.1199 2025-09-25 01:30:46 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:31:26 [INFO] Epoch 27 loss: 320.7640948295593; train accuracy: 0.8447473404255319; test accuracy: 0.4178 2025-09-25 01:31:26 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:31:53 [INFO] Epoch 27 loss: 209.5587272644043; train accuracy: 0.8297526041666666; test accuracy: 0.3191 2025-09-25 01:31:53 [INFO] Round 27 Finish--------| 2025-09-25 01:31:53 [INFO] Model variance: mean: 0.002345491200685501, sum: 26208.40625 2025-09-25 01:31:53 [INFO] g_protos_std: 1.006447672843933 2025-09-25 01:31:57 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6037 2025-09-25 01:31:57 [INFO] Round 28 starts--------| 2025-09-25 01:31:57 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:32:49 [INFO] Epoch 28 loss: 382.6367816925049; train accuracy: 0.8472521551724138; test accuracy: 0.4982 2025-09-25 01:32:49 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:33:02 [INFO] Epoch 28 loss: 92.2263708114624; train accuracy: 0.7179987980769231; test accuracy: 0.1593 2025-09-25 01:33:02 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:33:13 [INFO] Epoch 28 loss: 83.74212789535522; train accuracy: 0.8618607954545454; test accuracy: 0.114 2025-09-25 01:33:13 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:33:53 [INFO] Epoch 28 loss: 315.04879093170166; train accuracy: 0.7720246010638298; test accuracy: 0.382 2025-09-25 01:33:53 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:34:18 [INFO] Epoch 28 loss: 210.00356578826904; train accuracy: 0.8318359375; test accuracy: 0.3021 2025-09-25 01:34:18 [INFO] Round 28 Finish--------| 2025-09-25 01:34:18 [INFO] Model variance: mean: 0.002391326241195202, sum: 26720.564453125 2025-09-25 01:34:18 [INFO] g_protos_std: 1.0064607858657837 2025-09-25 01:34:23 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6264 2025-09-25 01:34:23 [INFO] Round 29 starts--------| 2025-09-25 01:34:23 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:35:11 [INFO] Epoch 29 loss: 381.01956033706665; train accuracy: 0.8347925646551724; test accuracy: 0.4921 2025-09-25 01:35:11 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:35:25 [INFO] Epoch 29 loss: 93.02486991882324; train accuracy: 0.8218149038461539; test accuracy: 0.1399 2025-09-25 01:35:25 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:35:36 [INFO] Epoch 29 loss: 83.40601968765259; train accuracy: 0.8510298295454546; test accuracy: 0.101 2025-09-25 01:35:36 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:36:18 [INFO] Epoch 29 loss: 315.5154390335083; train accuracy: 0.8533078457446809; test accuracy: 0.4213 2025-09-25 01:36:18 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:36:44 [INFO] Epoch 29 loss: 206.8147473335266; train accuracy: 0.884375; test accuracy: 0.3075 2025-09-25 01:36:44 [INFO] Round 29 Finish--------| 2025-09-25 01:36:44 [INFO] Model variance: mean: 0.0024342669639736414, sum: 27200.3828125 2025-09-25 01:36:44 [INFO] g_protos_std: 1.0064741373062134 2025-09-25 01:36:49 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6237 2025-09-25 01:36:49 [INFO] Round 30 starts--------| 2025-09-25 01:36:49 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:37:37 [INFO] Epoch 30 loss: 381.85222482681274; train accuracy: 0.8492052801724138; test accuracy: 0.4946 2025-09-25 01:37:38 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:37:51 [INFO] Epoch 30 loss: 92.96533012390137; train accuracy: 0.7426382211538461; test accuracy: 0.1621 2025-09-25 01:37:51 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:38:03 [INFO] Epoch 30 loss: 83.29516077041626; train accuracy: 0.8694957386363636; test accuracy: 0.1211 2025-09-25 01:38:03 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:38:44 [INFO] Epoch 30 loss: 311.7773160934448; train accuracy: 0.8151595744680851; test accuracy: 0.4079 2025-09-25 01:38:44 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:39:10 [INFO] Epoch 30 loss: 211.16779851913452; train accuracy: 0.8041666666666667; test accuracy: 0.2863 2025-09-25 01:39:11 [INFO] Round 30 Finish--------| 2025-09-25 01:39:11 [INFO] Model variance: mean: 0.0024766759015619755, sum: 27674.2578125 2025-09-25 01:39:11 [INFO] g_protos_std: 1.0064811706542969 2025-09-25 01:39:15 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6238 2025-09-25 01:39:15 [INFO] Round 31 starts--------| 2025-09-25 01:39:15 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:40:02 [INFO] Epoch 31 loss: 381.45989179611206; train accuracy: 0.8260035021551724; test accuracy: 0.4819 2025-09-25 01:40:02 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:40:16 [INFO] Epoch 31 loss: 91.52191352844238; train accuracy: 0.9103064903846154; test accuracy: 0.1811 2025-09-25 01:40:16 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:40:28 [INFO] Epoch 31 loss: 83.00899744033813; train accuracy: 0.8641690340909091; test accuracy: 0.116 2025-09-25 01:40:28 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:41:11 [INFO] Epoch 31 loss: 313.5139584541321; train accuracy: 0.8646110372340425; test accuracy: 0.4268 2025-09-25 01:41:11 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:41:37 [INFO] Epoch 31 loss: 207.93989896774292; train accuracy: 0.8660807291666667; test accuracy: 0.2957 2025-09-25 01:41:37 [INFO] Round 31 Finish--------| 2025-09-25 01:41:37 [INFO] Model variance: mean: 0.0025198913644999266, sum: 28157.14453125 2025-09-25 01:41:37 [INFO] g_protos_std: 1.0064927339553833 2025-09-25 01:41:42 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6287 2025-09-25 01:41:42 [INFO] Round 32 starts--------| 2025-09-25 01:41:42 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:42:32 [INFO] Epoch 32 loss: 378.8962607383728; train accuracy: 0.7932718211206896; test accuracy: 0.461 2025-09-25 01:42:32 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:42:46 [INFO] Epoch 32 loss: 92.20410537719727; train accuracy: 0.8939302884615384; test accuracy: 0.1828 2025-09-25 01:42:46 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:42:58 [INFO] Epoch 32 loss: 82.85971212387085; train accuracy: 0.8616832386363636; test accuracy: 0.1094 2025-09-25 01:42:58 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:43:38 [INFO] Epoch 32 loss: 313.0779285430908; train accuracy: 0.8568400930851063; test accuracy: 0.4217 2025-09-25 01:43:38 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:44:03 [INFO] Epoch 32 loss: 205.3243808746338; train accuracy: 0.8613932291666667; test accuracy: 0.3601 2025-09-25 01:44:03 [INFO] Round 32 Finish--------| 2025-09-25 01:44:03 [INFO] Model variance: mean: 0.0025622600223869085, sum: 28630.5703125 2025-09-25 01:44:03 [INFO] g_protos_std: 1.0065072774887085 2025-09-25 01:44:08 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6209 2025-09-25 01:44:08 [INFO] Round 33 starts--------| 2025-09-25 01:44:08 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:44:59 [INFO] Epoch 33 loss: 378.4351272583008; train accuracy: 0.8461072198275862; test accuracy: 0.492 2025-09-25 01:44:59 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:45:11 [INFO] Epoch 33 loss: 90.9952301979065; train accuracy: 0.8841646634615384; test accuracy: 0.163 2025-09-25 01:45:11 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:45:23 [INFO] Epoch 33 loss: 82.74623107910156; train accuracy: 0.8748224431818182; test accuracy: 0.1324 2025-09-25 01:45:23 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:46:05 [INFO] Epoch 33 loss: 315.1081886291504; train accuracy: 0.8033992686170213; test accuracy: 0.4009 2025-09-25 01:46:05 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:46:34 [INFO] Epoch 33 loss: 204.60691499710083; train accuracy: 0.8860026041666667; test accuracy: 0.3048 2025-09-25 01:46:34 [INFO] Round 33 Finish--------| 2025-09-25 01:46:34 [INFO] Model variance: mean: 0.0026027169078588486, sum: 29082.6328125 2025-09-25 01:46:34 [INFO] g_protos_std: 1.0065146684646606 2025-09-25 01:46:39 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6266 2025-09-25 01:46:39 [INFO] Round 34 starts--------| 2025-09-25 01:46:39 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:47:27 [INFO] Epoch 34 loss: 382.99258756637573; train accuracy: 0.7926656788793104; test accuracy: 0.4561 2025-09-25 01:47:27 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:47:40 [INFO] Epoch 34 loss: 91.47946453094482; train accuracy: 0.9012920673076923; test accuracy: 0.1812 2025-09-25 01:47:40 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:47:52 [INFO] Epoch 34 loss: 83.57992172241211; train accuracy: 0.8478338068181818; test accuracy: 0.1017 2025-09-25 01:47:52 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:48:32 [INFO] Epoch 34 loss: 314.3118004798889; train accuracy: 0.8404255319148937; test accuracy: 0.4185 2025-09-25 01:48:32 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:48:59 [INFO] Epoch 34 loss: 206.0878667831421; train accuracy: 0.7963541666666667; test accuracy: 0.2888 2025-09-25 01:48:59 [INFO] Round 34 Finish--------| 2025-09-25 01:48:59 [INFO] Model variance: mean: 0.002643336309120059, sum: 29536.51171875 2025-09-25 01:48:59 [INFO] g_protos_std: 1.0065255165100098 2025-09-25 01:49:04 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6411 2025-09-25 01:49:04 [INFO] Round 35 starts--------| 2025-09-25 01:49:04 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:49:56 [INFO] Epoch 35 loss: 369.501757144928; train accuracy: 0.8862809806034483; test accuracy: 0.5159 2025-09-25 01:49:56 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:50:10 [INFO] Epoch 35 loss: 91.2706618309021; train accuracy: 0.8152043269230769; test accuracy: 0.1704 2025-09-25 01:50:11 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:50:23 [INFO] Epoch 35 loss: 82.27557229995728; train accuracy: 0.8648792613636364; test accuracy: 0.1148 2025-09-25 01:50:23 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:51:05 [INFO] Epoch 35 loss: 310.3513627052307; train accuracy: 0.8605385638297872; test accuracy: 0.4273 2025-09-25 01:51:06 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:51:33 [INFO] Epoch 35 loss: 206.24379634857178; train accuracy: 0.8420572916666667; test accuracy: 0.2871 2025-09-25 01:51:33 [INFO] Round 35 Finish--------| 2025-09-25 01:51:33 [INFO] Model variance: mean: 0.0026848227716982365, sum: 30000.080078125 2025-09-25 01:51:33 [INFO] g_protos_std: 1.0065442323684692 2025-09-25 01:51:38 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6441 2025-09-25 01:51:38 [INFO] Round 36 starts--------| 2025-09-25 01:51:38 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:52:30 [INFO] Epoch 36 loss: 374.3072657585144; train accuracy: 0.9026468211206896; test accuracy: 0.5229 2025-09-25 01:52:30 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:52:43 [INFO] Epoch 36 loss: 91.7325291633606; train accuracy: 0.8225661057692307; test accuracy: 0.1735 2025-09-25 01:52:43 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:52:54 [INFO] Epoch 36 loss: 82.59908437728882; train accuracy: 0.8764204545454546; test accuracy: 0.1293 2025-09-25 01:52:54 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:53:37 [INFO] Epoch 36 loss: 306.7780690193176; train accuracy: 0.8558427526595744; test accuracy: 0.4228 2025-09-25 01:53:37 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:54:04 [INFO] Epoch 36 loss: 202.30630207061768; train accuracy: 0.8649739583333333; test accuracy: 0.3151 2025-09-25 01:54:04 [INFO] Round 36 Finish--------| 2025-09-25 01:54:04 [INFO] Model variance: mean: 0.0027252640575170517, sum: 30451.96875 2025-09-25 01:54:04 [INFO] g_protos_std: 1.0065573453903198 2025-09-25 01:54:09 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.634 2025-09-25 01:54:09 [INFO] Round 37 starts--------| 2025-09-25 01:54:09 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:54:58 [INFO] Epoch 37 loss: 364.4087996482849; train accuracy: 0.8966864224137931; test accuracy: 0.5228 2025-09-25 01:54:58 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:55:11 [INFO] Epoch 37 loss: 91.48178815841675; train accuracy: 0.7442908653846154; test accuracy: 0.1658 2025-09-25 01:55:11 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:55:23 [INFO] Epoch 37 loss: 82.53133153915405; train accuracy: 0.8764204545454546; test accuracy: 0.1229 2025-09-25 01:55:23 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:56:00 [INFO] Epoch 37 loss: 310.03035974502563; train accuracy: 0.910405585106383; test accuracy: 0.4489 2025-09-25 01:56:00 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:56:26 [INFO] Epoch 37 loss: 206.88058137893677; train accuracy: 0.8617838541666667; test accuracy: 0.3216 2025-09-25 01:56:26 [INFO] Round 37 Finish--------| 2025-09-25 01:56:26 [INFO] Model variance: mean: 0.002764942590147257, sum: 30895.3359375 2025-09-25 01:56:26 [INFO] g_protos_std: 1.0065711736679077 2025-09-25 01:56:31 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.642 2025-09-25 01:56:31 [INFO] Round 38 starts--------| 2025-09-25 01:56:31 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:57:15 [INFO] Epoch 38 loss: 365.7568430900574; train accuracy: 0.8861126077586207; test accuracy: 0.5142 2025-09-25 01:57:15 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:57:27 [INFO] Epoch 38 loss: 92.5777702331543; train accuracy: 0.7839543269230769; test accuracy: 0.1716 2025-09-25 01:57:27 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:57:38 [INFO] Epoch 38 loss: 82.80749034881592; train accuracy: 0.8604403409090909; test accuracy: 0.1093 2025-09-25 01:57:38 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:58:17 [INFO] Epoch 38 loss: 308.9977355003357; train accuracy: 0.8892536569148937; test accuracy: 0.4361 2025-09-25 01:58:17 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:58:43 [INFO] Epoch 38 loss: 206.43443155288696; train accuracy: 0.8701822916666667; test accuracy: 0.3235 2025-09-25 01:58:43 [INFO] Round 38 Finish--------| 2025-09-25 01:58:43 [INFO] Model variance: mean: 0.002803028794005513, sum: 31320.908203125 2025-09-25 01:58:43 [INFO] g_protos_std: 1.0065795183181763 2025-09-25 01:58:48 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6502 2025-09-25 01:58:48 [INFO] Round 39 starts--------| 2025-09-25 01:58:48 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:59:36 [INFO] Epoch 39 loss: 374.31263637542725; train accuracy: 0.8541891163793104; test accuracy: 0.4956 2025-09-25 01:59:36 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:59:49 [INFO] Epoch 39 loss: 93.09914636611938; train accuracy: 0.8401442307692307; test accuracy: 0.1792 2025-09-25 01:59:49 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:00:00 [INFO] Epoch 39 loss: 82.55947160720825; train accuracy: 0.857421875; test accuracy: 0.1067 2025-09-25 02:00:00 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:00:39 [INFO] Epoch 39 loss: 306.17019510269165; train accuracy: 0.9049617686170213; test accuracy: 0.4457 2025-09-25 02:00:39 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:01:05 [INFO] Epoch 39 loss: 204.6665759086609; train accuracy: 0.8848958333333333; test accuracy: 0.3582 2025-09-25 02:01:05 [INFO] Round 39 Finish--------| 2025-09-25 02:01:05 [INFO] Model variance: mean: 0.0028402823954820633, sum: 31737.1796875 2025-09-25 02:01:05 [INFO] g_protos_std: 1.0065866708755493 2025-09-25 02:01:10 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.646 2025-09-25 02:01:10 [INFO] Round 40 starts--------| 2025-09-25 02:01:10 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:01:56 [INFO] Epoch 40 loss: 367.84124755859375; train accuracy: 0.9110991379310345; test accuracy: 0.5315 2025-09-25 02:01:57 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:02:10 [INFO] Epoch 40 loss: 91.6144437789917; train accuracy: 0.8907752403846154; test accuracy: 0.1755 2025-09-25 02:02:10 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:02:21 [INFO] Epoch 40 loss: 82.49229431152344; train accuracy: 0.8531605113636364; test accuracy: 0.1017 2025-09-25 02:02:21 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:03:00 [INFO] Epoch 40 loss: 299.8801221847534; train accuracy: 0.8772855718085106; test accuracy: 0.4313 2025-09-25 02:03:01 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:03:25 [INFO] Epoch 40 loss: 201.9906301498413; train accuracy: 0.863671875; test accuracy: 0.3297 2025-09-25 02:03:26 [INFO] Round 40 Finish--------| 2025-09-25 02:03:26 [INFO] Model variance: mean: 0.002879932289943099, sum: 32180.224609375 2025-09-25 02:03:26 [INFO] g_protos_std: 1.006606936454773 2025-09-25 02:03:30 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6384 2025-09-25 02:03:30 [INFO] Round 41 starts--------| 2025-09-25 02:03:30 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:04:19 [INFO] Epoch 41 loss: 368.84726762771606; train accuracy: 0.9081021012931034; test accuracy: 0.525 2025-09-25 02:04:19 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:04:31 [INFO] Epoch 41 loss: 92.12327337265015; train accuracy: 0.9038461538461539; test accuracy: 0.1776 2025-09-25 02:04:31 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:04:42 [INFO] Epoch 41 loss: 81.93842935562134; train accuracy: 0.8837002840909091; test accuracy: 0.1351 2025-09-25 02:04:42 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:05:20 [INFO] Epoch 41 loss: 309.46365785598755; train accuracy: 0.8707613031914894; test accuracy: 0.4297 2025-09-25 02:05:20 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:05:44 [INFO] Epoch 41 loss: 202.21508407592773; train accuracy: 0.8822916666666667; test accuracy: 0.3213 2025-09-25 02:05:44 [INFO] Round 41 Finish--------| 2025-09-25 02:05:44 [INFO] Model variance: mean: 0.002915663179010153, sum: 32579.48046875 2025-09-25 02:05:44 [INFO] g_protos_std: 1.0066125392913818 2025-09-25 02:05:49 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6497 2025-09-25 02:05:49 [INFO] Round 42 starts--------| 2025-09-25 02:05:49 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:06:35 [INFO] Epoch 42 loss: 362.4529185295105; train accuracy: 0.8641231142241379; test accuracy: 0.4964 2025-09-25 02:06:35 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:06:47 [INFO] Epoch 42 loss: 91.0736575126648; train accuracy: 0.8798076923076923; test accuracy: 0.1735 2025-09-25 02:06:47 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:06:58 [INFO] Epoch 42 loss: 81.8558406829834; train accuracy: 0.8609730113636364; test accuracy: 0.1104 2025-09-25 02:06:58 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:07:36 [INFO] Epoch 42 loss: 305.10668659210205; train accuracy: 0.8852227393617021; test accuracy: 0.4403 2025-09-25 02:07:36 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:08:03 [INFO] Epoch 42 loss: 200.986581325531; train accuracy: 0.8949869791666667; test accuracy: 0.3259 2025-09-25 02:08:03 [INFO] Round 42 Finish--------| 2025-09-25 02:08:03 [INFO] Model variance: mean: 0.00295425858348608, sum: 33010.7421875 2025-09-25 02:08:03 [INFO] g_protos_std: 1.0066295862197876 2025-09-25 02:08:08 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6584 2025-09-25 02:08:08 [INFO] Round 43 starts--------| 2025-09-25 02:08:08 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:08:55 [INFO] Epoch 43 loss: 369.55418157577515; train accuracy: 0.8958108836206896; test accuracy: 0.5176 2025-09-25 02:08:55 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:09:08 [INFO] Epoch 43 loss: 90.7472128868103; train accuracy: 0.8544170673076923; test accuracy: 0.1791 2025-09-25 02:09:08 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:09:19 [INFO] Epoch 43 loss: 82.39859104156494; train accuracy: 0.8634588068181818; test accuracy: 0.113 2025-09-25 02:09:19 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:09:58 [INFO] Epoch 43 loss: 300.6636447906494; train accuracy: 0.8609125664893617; test accuracy: 0.4251 2025-09-25 02:09:58 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:10:23 [INFO] Epoch 43 loss: 205.101815700531; train accuracy: 0.7889973958333333; test accuracy: 0.3067 2025-09-25 02:10:23 [INFO] Round 43 Finish--------| 2025-09-25 02:10:23 [INFO] Model variance: mean: 0.0029894844628870487, sum: 33404.35546875 2025-09-25 02:10:23 [INFO] g_protos_std: 1.0066405534744263 2025-09-25 02:10:28 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6617 2025-09-25 02:10:28 [INFO] Round 44 starts--------| 2025-09-25 02:10:28 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:11:15 [INFO] Epoch 44 loss: 368.44577503204346; train accuracy: 0.9092807112068966; test accuracy: 0.5266 2025-09-25 02:11:15 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:11:28 [INFO] Epoch 44 loss: 90.12246322631836; train accuracy: 0.7528545673076923; test accuracy: 0.166 2025-09-25 02:11:28 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:11:38 [INFO] Epoch 44 loss: 82.48281145095825; train accuracy: 0.8639914772727273; test accuracy: 0.111 2025-09-25 02:11:38 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:12:17 [INFO] Epoch 44 loss: 299.91593408584595; train accuracy: 0.9232463430851063; test accuracy: 0.4635 2025-09-25 02:12:17 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:12:42 [INFO] Epoch 44 loss: 202.79256582260132; train accuracy: 0.7664713541666667; test accuracy: 0.2899 2025-09-25 02:12:42 [INFO] Round 44 Finish--------| 2025-09-25 02:12:42 [INFO] Model variance: mean: 0.0030254339799284935, sum: 33806.0546875 2025-09-25 02:12:42 [INFO] g_protos_std: 1.0066488981246948 2025-09-25 02:12:47 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6569 2025-09-25 02:12:47 [INFO] Round 45 starts--------| 2025-09-25 02:12:47 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:13:35 [INFO] Epoch 45 loss: 366.226016998291; train accuracy: 0.8911974676724138; test accuracy: 0.5171 2025-09-25 02:13:35 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:13:48 [INFO] Epoch 45 loss: 90.95522546768188; train accuracy: 0.92578125; test accuracy: 0.1821 2025-09-25 02:13:48 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:13:59 [INFO] Epoch 45 loss: 81.47825908660889; train accuracy: 0.8506747159090909; test accuracy: 0.1003 2025-09-25 02:14:00 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:14:38 [INFO] Epoch 45 loss: 302.9107141494751; train accuracy: 0.8255069813829787; test accuracy: 0.4155 2025-09-25 02:14:38 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:15:06 [INFO] Epoch 45 loss: 202.7393021583557; train accuracy: 0.8600260416666666; test accuracy: 0.3247 2025-09-25 02:15:07 [INFO] Round 45 Finish--------| 2025-09-25 02:15:07 [INFO] Model variance: mean: 0.003060495015233755, sum: 34197.82421875 2025-09-25 02:15:07 [INFO] g_protos_std: 1.0066602230072021 2025-09-25 02:15:12 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6626 2025-09-25 02:15:12 [INFO] Round 46 starts--------| 2025-09-25 02:15:12 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:16:01 [INFO] Epoch 46 loss: 371.2822504043579; train accuracy: 0.9030509159482759; test accuracy: 0.5198 2025-09-25 02:16:01 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:16:14 [INFO] Epoch 46 loss: 90.18537712097168; train accuracy: 0.5905949519230769; test accuracy: 0.15 2025-09-25 02:16:14 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:16:25 [INFO] Epoch 46 loss: 82.32077503204346; train accuracy: 0.8790838068181818; test accuracy: 0.1222 2025-09-25 02:16:25 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:17:06 [INFO] Epoch 46 loss: 302.75312757492065; train accuracy: 0.8748753324468085; test accuracy: 0.4315 2025-09-25 02:17:06 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:17:32 [INFO] Epoch 46 loss: 198.95309400558472; train accuracy: 0.8382161458333334; test accuracy: 0.301 2025-09-25 02:17:32 [INFO] Round 46 Finish--------| 2025-09-25 02:17:32 [INFO] Model variance: mean: 0.003096154425293207, sum: 34596.28125 2025-09-25 02:17:32 [INFO] g_protos_std: 1.0066723823547363 2025-09-25 02:17:37 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6549 2025-09-25 02:17:38 [INFO] Round 47 starts--------| 2025-09-25 02:17:38 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:18:27 [INFO] Epoch 47 loss: 358.09277391433716; train accuracy: 0.8698477909482759; test accuracy: 0.5019 2025-09-25 02:18:27 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:18:39 [INFO] Epoch 47 loss: 91.47594022750854; train accuracy: 0.8563701923076923; test accuracy: 0.1796 2025-09-25 02:18:39 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:18:52 [INFO] Epoch 47 loss: 81.5003752708435; train accuracy: 0.8501420454545454; test accuracy: 0.1019 2025-09-25 02:18:52 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:19:32 [INFO] Epoch 47 loss: 311.4909887313843; train accuracy: 0.9089095744680851; test accuracy: 0.4528 2025-09-25 02:19:32 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:19:59 [INFO] Epoch 47 loss: 197.76284646987915; train accuracy: 0.8554036458333333; test accuracy: 0.3026 2025-09-25 02:19:59 [INFO] Round 47 Finish--------| 2025-09-25 02:19:59 [INFO] Model variance: mean: 0.0031306485179811716, sum: 34981.71484375 2025-09-25 02:19:59 [INFO] g_protos_std: 1.006685495376587 2025-09-25 02:20:05 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.667 2025-09-25 02:20:05 [INFO] Round 48 starts--------| 2025-09-25 02:20:05 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:20:54 [INFO] Epoch 48 loss: 357.68402767181396; train accuracy: 0.8975956357758621; test accuracy: 0.5199 2025-09-25 02:20:55 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:21:08 [INFO] Epoch 48 loss: 90.2011079788208; train accuracy: 0.8155048076923077; test accuracy: 0.1829 2025-09-25 02:21:08 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:21:19 [INFO] Epoch 48 loss: 81.62750816345215; train accuracy: 0.857421875; test accuracy: 0.1054 2025-09-25 02:21:19 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:21:58 [INFO] Epoch 48 loss: 304.0043354034424; train accuracy: 0.8587101063829787; test accuracy: 0.4306 2025-09-25 02:21:58 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:22:25 [INFO] Epoch 48 loss: 202.30772018432617; train accuracy: 0.788671875; test accuracy: 0.2848 2025-09-25 02:22:25 [INFO] Round 48 Finish--------| 2025-09-25 02:22:25 [INFO] Model variance: mean: 0.00316527858376503, sum: 35368.671875 2025-09-25 02:22:25 [INFO] g_protos_std: 1.0066977739334106 2025-09-25 02:22:31 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6482 2025-09-25 02:22:31 [INFO] Round 49 starts--------| 2025-09-25 02:22:31 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:23:19 [INFO] Epoch 49 loss: 360.6467065811157; train accuracy: 0.8833849676724138; test accuracy: 0.5121 2025-09-25 02:23:19 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:23:32 [INFO] Epoch 49 loss: 89.6628909111023; train accuracy: 0.9301382211538461; test accuracy: 0.1844 2025-09-25 02:23:32 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:23:44 [INFO] Epoch 49 loss: 82.44685554504395; train accuracy: 0.875; test accuracy: 0.1387 2025-09-25 02:23:44 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:24:23 [INFO] Epoch 49 loss: 301.90460205078125; train accuracy: 0.9101146941489362; test accuracy: 0.452 2025-09-25 02:24:23 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:24:49 [INFO] Epoch 49 loss: 198.95771980285645; train accuracy: 0.857421875; test accuracy: 0.3578 2025-09-25 02:24:49 [INFO] Round 49 Finish--------| 2025-09-25 02:24:49 [INFO] Model variance: mean: 0.003199332393705845, sum: 35749.1875 2025-09-25 02:24:49 [INFO] g_protos_std: 1.0067079067230225 2025-09-25 02:24:54 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6801 2025-09-25 02:24:54 [INFO] Round 50 starts--------| 2025-09-25 02:24:54 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:25:45 [INFO] Epoch 50 loss: 359.5332489013672; train accuracy: 0.8817012392241379; test accuracy: 0.5088 2025-09-25 02:25:46 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:25:59 [INFO] Epoch 50 loss: 90.75334596633911; train accuracy: 0.8882211538461539; test accuracy: 0.1855 2025-09-25 02:25:59 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:26:10 [INFO] Epoch 50 loss: 81.80537271499634; train accuracy: 0.8583096590909091; test accuracy: 0.1062 2025-09-25 02:26:11 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:26:52 [INFO] Epoch 50 loss: 294.7835841178894; train accuracy: 0.9000581781914894; test accuracy: 0.4469 2025-09-25 02:26:53 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:27:20 [INFO] Epoch 50 loss: 203.06919813156128; train accuracy: 0.8297526041666666; test accuracy: 0.3985 2025-09-25 02:27:21 [INFO] Round 50 Finish--------| 2025-09-25 02:27:21 [INFO] Model variance: mean: 0.0032337887678295374, sum: 36134.19921875 2025-09-25 02:27:21 [INFO] g_protos_std: 1.0067204236984253 2025-09-25 02:27:26 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6697 2025-09-25 00:24:17 [INFO] Load config from ./configs/CIFAR10_alpha0.1.yaml 2025-09-25 00:24:17 [INFO] config: {'exp_name': 'CIFAR10_alpha0.1', 'dataset': {'data_name': 'CIFAR10', 'root_path': 'H:/codes/dataset', 'train_batch_size': 512, 'test_batch_size': 256, 'channels': 3, 'num_classes': 10, 'image_size': 32}, 'distribution': {'type': 'dirichlet', 'label_num_per_client': 2, 'alpha': 0.1}, 'client': {'num_clients': 5}, 'server': {'num_rounds': 300, 'frac_clients': 1.0, 'lr': 0.05, 'local_epochs': 1, 'optimizer': 'sgd', 'momentum': 0.9, 'weight_decay': 0.0001, 'loss_name': 'ce', 'model_name': 'resnet18', 'aggregated_by_datasize': True, 'lr_decay_per_round': 0.998}, 'device': 'cuda:0', 'checkpoint': {'save_path': './checkpoints/', 'save_freq': 5, 'result_file': 'CIFAR10_results.yaml'}, 'pretrain': {'lr': 0.01, 'epoch': 70, 'model_path': './pretrain/', 'momentum': 0.9, 'weight_decay': 0.0001, 'model_name': 'resnet18', 'model_file_name': 'resnet18-f37072fd.pth'}, 'DBCD': {'alpha_l_pa': 1, 'alpha_l_pb': 1, 'alpha_l_pc': 0.0, 'Beta_alpha': 0.2, 'unsup_method': 'infonce', 'contrastive_temperature': 0.5, 'encoder_epoch': 40, 'projector_epoch': 10, 'use_pretrain': False, 'aug_batch_size': 512, 'encoder_lr': 0.03, 'cls_optimizer': 'sgd', 'cls_lr': 0.05, 'supcon_temp': 0.07, 'super_gr': 100, 'aux_with_public': True}, 'etf': {'loss_name': 'ce'}, 'visualization': {'interval': 5, 'save_path': 'visualization/resnet18', 'vis_size': 16}, 'resume': True, 'resume_best': False, 'seed': 1} 2025-09-25 00:24:19 [INFO] Dataset CIFAR10 loaded 2025-09-25 00:24:19 [INFO] Dataset index dict loaded from preprocessed_data/CIFAR10.pt 2025-09-25 00:24:19 [INFO] OneshotOurs 2025-09-25 00:24:20 [INFO] Round 0 starts--------| 2025-09-25 00:24:20 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:24:26 [INFO] generating sample per sample 2025-09-25 00:25:20 [INFO] Epoch 0 loss: 486.43635082244873; train accuracy: 0.3333333333333333; test accuracy: 0.1663 2025-09-25 00:25:21 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:25:23 [INFO] generating sample per sample 2025-09-25 00:25:41 [INFO] Epoch 0 loss: 125.08793544769287; train accuracy: 0.7225060096153846; test accuracy: 0.1 2025-09-25 00:25:42 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:25:47 [INFO] generating sample per sample 2025-09-25 00:26:35 [INFO] Epoch 0 loss: 404.57657051086426; train accuracy: 0.318701171875; test accuracy: 0.1356 2025-09-25 00:26:36 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:26:42 [INFO] generating sample per sample 2025-09-25 00:27:37 [INFO] Epoch 0 loss: 511.36671924591064; train accuracy: 0.253046875; test accuracy: 0.132 2025-09-25 00:27:38 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:27:43 [INFO] generating sample per sample 2025-09-25 00:28:26 [INFO] Epoch 0 loss: 384.8463726043701; train accuracy: 0.40625; test accuracy: 0.1622 2025-09-25 00:28:27 [INFO] Round 0 Finish--------| 2025-09-25 00:28:27 [INFO] Model variance: mean: 0.0005537804681807756, sum: 6187.916015625 2025-09-25 00:28:27 [INFO] g_protos_std: 1.006043791770935 2025-09-25 00:28:35 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.3132 2025-09-25 00:28:36 [INFO] Round 1 starts--------| 2025-09-25 00:28:36 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:29:29 [INFO] Epoch 1 loss: 436.5957145690918; train accuracy: 0.2572021484375; test accuracy: 0.1281 2025-09-25 00:29:29 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:29:46 [INFO] Epoch 1 loss: 109.58148193359375; train accuracy: 0.5486778846153846; test accuracy: 0.1235 2025-09-25 00:29:46 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:30:31 [INFO] Epoch 1 loss: 371.6982002258301; train accuracy: 0.31923828125; test accuracy: 0.1345 2025-09-25 00:30:31 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:31:26 [INFO] Epoch 1 loss: 467.6265754699707; train accuracy: 0.3304296875; test accuracy: 0.1722 2025-09-25 00:31:26 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:32:12 [INFO] Epoch 1 loss: 343.7145128250122; train accuracy: 0.43309294871794873; test accuracy: 0.1762 2025-09-25 00:32:12 [INFO] Round 1 Finish--------| 2025-09-25 00:32:12 [INFO] Model variance: mean: 0.0007194537902250886, sum: 8039.14208984375 2025-09-25 00:32:12 [INFO] g_protos_std: 1.0060545206069946 2025-09-25 00:32:21 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.3487 2025-09-25 00:32:21 [INFO] Round 2 starts--------| 2025-09-25 00:32:21 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:33:15 [INFO] Epoch 2 loss: 423.04816341400146; train accuracy: 0.3286946614583333; test accuracy: 0.1669 2025-09-25 00:33:15 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:33:32 [INFO] Epoch 2 loss: 106.35698795318604; train accuracy: 0.7240084134615384; test accuracy: 0.1004 2025-09-25 00:33:32 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:34:18 [INFO] Epoch 2 loss: 365.76449394226074; train accuracy: 0.265185546875; test accuracy: 0.1113 2025-09-25 00:34:18 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:35:14 [INFO] Epoch 2 loss: 446.3456869125366; train accuracy: 0.42484375; test accuracy: 0.2327 2025-09-25 00:35:14 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:35:58 [INFO] Epoch 2 loss: 329.8176908493042; train accuracy: 0.5093149038461539; test accuracy: 0.2045 2025-09-25 00:35:58 [INFO] Round 2 Finish--------| 2025-09-25 00:35:58 [INFO] Model variance: mean: 0.0008554071537218988, sum: 9558.2783203125 2025-09-25 00:35:58 [INFO] g_protos_std: 1.0060685873031616 2025-09-25 00:36:07 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.381 2025-09-25 00:36:07 [INFO] Round 3 starts--------| 2025-09-25 00:36:07 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:37:02 [INFO] Epoch 3 loss: 411.3046293258667; train accuracy: 0.5006103515625; test accuracy: 0.2511 2025-09-25 00:37:02 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:37:18 [INFO] Epoch 3 loss: 105.81302738189697; train accuracy: 0.7253605769230769; test accuracy: 0.101 2025-09-25 00:37:18 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:38:06 [INFO] Epoch 3 loss: 354.45698833465576; train accuracy: 0.523583984375; test accuracy: 0.2263 2025-09-25 00:38:06 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:39:03 [INFO] Epoch 3 loss: 438.96091651916504; train accuracy: 0.4633203125; test accuracy: 0.2491 2025-09-25 00:39:03 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:39:48 [INFO] Epoch 3 loss: 319.0188989639282; train accuracy: 0.43920272435897434; test accuracy: 0.1735 2025-09-25 00:39:48 [INFO] Round 3 Finish--------| 2025-09-25 00:39:48 [INFO] Model variance: mean: 0.0009723291150294244, sum: 10864.7587890625 2025-09-25 00:39:48 [INFO] g_protos_std: 1.00608491897583 2025-09-25 00:39:57 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.3932 2025-09-25 00:39:57 [INFO] Round 4 starts--------| 2025-09-25 00:39:57 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:40:53 [INFO] Epoch 4 loss: 397.9959144592285; train accuracy: 0.5397542317708334; test accuracy: 0.2657 2025-09-25 00:40:53 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:41:09 [INFO] Epoch 4 loss: 104.12271356582642; train accuracy: 0.7219050480769231; test accuracy: 0.1 2025-09-25 00:41:09 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:41:55 [INFO] Epoch 4 loss: 349.7178955078125; train accuracy: 0.60771484375; test accuracy: 0.2609 2025-09-25 00:41:55 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:42:52 [INFO] Epoch 4 loss: 433.4294843673706; train accuracy: 0.5521875; test accuracy: 0.3012 2025-09-25 00:42:52 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:43:38 [INFO] Epoch 4 loss: 312.8129024505615; train accuracy: 0.6425280448717948; test accuracy: 0.2631 2025-09-25 00:43:38 [INFO] Round 4 Finish--------| 2025-09-25 00:43:38 [INFO] Model variance: mean: 0.0010780561715364456, sum: 12046.1484375 2025-09-25 00:43:38 [INFO] g_protos_std: 1.006103277206421 2025-09-25 00:43:46 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.4344 2025-09-25 00:43:46 [INFO] Round 5 starts--------| 2025-09-25 00:43:46 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:44:42 [INFO] Epoch 5 loss: 397.0564546585083; train accuracy: 0.5281982421875; test accuracy: 0.2606 2025-09-25 00:44:42 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:44:59 [INFO] Epoch 5 loss: 103.72313499450684; train accuracy: 0.7058293269230769; test accuracy: 0.1043 2025-09-25 00:45:00 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:45:45 [INFO] Epoch 5 loss: 342.2947669029236; train accuracy: 0.563037109375; test accuracy: 0.2523 2025-09-25 00:45:46 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:46:44 [INFO] Epoch 5 loss: 425.19161558151245; train accuracy: 0.46984375; test accuracy: 0.2685 2025-09-25 00:46:44 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:47:32 [INFO] Epoch 5 loss: 306.54419565200806; train accuracy: 0.6309595352564102; test accuracy: 0.2536 2025-09-25 00:47:32 [INFO] Round 5 Finish--------| 2025-09-25 00:47:32 [INFO] Model variance: mean: 0.0011769759003072977, sum: 13151.4716796875 2025-09-25 00:47:32 [INFO] g_protos_std: 1.0061218738555908 2025-09-25 00:47:41 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.4319 2025-09-25 00:47:41 [INFO] Round 6 starts--------| 2025-09-25 00:47:41 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:48:34 [INFO] Epoch 6 loss: 385.37790727615356; train accuracy: 0.5155436197916666; test accuracy: 0.2584 2025-09-25 00:48:34 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:48:51 [INFO] Epoch 6 loss: 103.14119958877563; train accuracy: 0.4293870192307692; test accuracy: 0.114 2025-09-25 00:48:51 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:49:35 [INFO] Epoch 6 loss: 336.75755405426025; train accuracy: 0.648046875; test accuracy: 0.2843 2025-09-25 00:49:35 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:50:30 [INFO] Epoch 6 loss: 411.47577476501465; train accuracy: 0.5428125; test accuracy: 0.3417 2025-09-25 00:50:30 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:51:13 [INFO] Epoch 6 loss: 305.5399389266968; train accuracy: 0.6398737980769231; test accuracy: 0.2552 2025-09-25 00:51:13 [INFO] Round 6 Finish--------| 2025-09-25 00:51:13 [INFO] Model variance: mean: 0.0012719716178253293, sum: 14212.94921875 2025-09-25 00:51:13 [INFO] g_protos_std: 1.0061428546905518 2025-09-25 00:51:22 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.4835 2025-09-25 00:51:22 [INFO] Round 7 starts--------| 2025-09-25 00:51:22 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:52:16 [INFO] Epoch 7 loss: 376.1508355140686; train accuracy: 0.7248942057291666; test accuracy: 0.3577 2025-09-25 00:52:16 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:52:33 [INFO] Epoch 7 loss: 103.08781003952026; train accuracy: 0.5871394230769231; test accuracy: 0.1195 2025-09-25 00:52:33 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:53:19 [INFO] Epoch 7 loss: 328.64758348464966; train accuracy: 0.58525390625; test accuracy: 0.2574 2025-09-25 00:53:19 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:54:14 [INFO] Epoch 7 loss: 406.20204305648804; train accuracy: 0.4219921875; test accuracy: 0.2309 2025-09-25 00:54:14 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:54:59 [INFO] Epoch 7 loss: 297.9361047744751; train accuracy: 0.7651742788461539; test accuracy: 0.3063 2025-09-25 00:54:59 [INFO] Round 7 Finish--------| 2025-09-25 00:54:59 [INFO] Model variance: mean: 0.0013622853439301252, sum: 15222.111328125 2025-09-25 00:54:59 [INFO] g_protos_std: 1.0061547756195068 2025-09-25 00:55:07 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.4725 2025-09-25 00:55:07 [INFO] Round 8 starts--------| 2025-09-25 00:55:07 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:56:00 [INFO] Epoch 8 loss: 370.42415857315063; train accuracy: 0.4256998697916667; test accuracy: 0.2134 2025-09-25 00:56:00 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:56:17 [INFO] Epoch 8 loss: 103.12254762649536; train accuracy: 0.7241586538461539; test accuracy: 0.1 2025-09-25 00:56:17 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:57:03 [INFO] Epoch 8 loss: 326.1685872077942; train accuracy: 0.527978515625; test accuracy: 0.2442 2025-09-25 00:57:03 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:58:00 [INFO] Epoch 8 loss: 394.71009349823; train accuracy: 0.509609375; test accuracy: 0.2888 2025-09-25 00:58:00 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:58:45 [INFO] Epoch 8 loss: 298.3050560951233; train accuracy: 0.5982071314102564; test accuracy: 0.2399 2025-09-25 00:58:45 [INFO] Round 8 Finish--------| 2025-09-25 00:58:45 [INFO] Model variance: mean: 0.001450509880669415, sum: 16207.927734375 2025-09-25 00:58:45 [INFO] g_protos_std: 1.006174087524414 2025-09-25 00:58:54 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.5124 2025-09-25 00:58:54 [INFO] Round 9 starts--------| 2025-09-25 00:58:54 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:59:49 [INFO] Epoch 9 loss: 370.4942355155945; train accuracy: 0.6949869791666666; test accuracy: 0.3486 2025-09-25 00:59:49 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:00:06 [INFO] Epoch 9 loss: 102.57960319519043; train accuracy: 0.7228064903846154; test accuracy: 0.1004 2025-09-25 01:00:06 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:00:52 [INFO] Epoch 9 loss: 320.65021324157715; train accuracy: 0.595263671875; test accuracy: 0.2685 2025-09-25 01:00:52 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:01:48 [INFO] Epoch 9 loss: 392.1772503852844; train accuracy: 0.616640625; test accuracy: 0.3476 2025-09-25 01:01:48 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:02:34 [INFO] Epoch 9 loss: 292.5709114074707; train accuracy: 0.8101963141025641; test accuracy: 0.3225 2025-09-25 01:02:34 [INFO] Round 9 Finish--------| 2025-09-25 01:02:34 [INFO] Model variance: mean: 0.0015319482190534472, sum: 17117.916015625 2025-09-25 01:02:34 [INFO] g_protos_std: 1.0061899423599243 2025-09-25 01:02:42 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.5319 2025-09-25 01:02:42 [INFO] Round 10 starts--------| 2025-09-25 01:02:42 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:03:36 [INFO] Epoch 10 loss: 366.0839819908142; train accuracy: 0.7257486979166666; test accuracy: 0.3618 2025-09-25 01:03:36 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:03:53 [INFO] Epoch 10 loss: 102.21287298202515; train accuracy: 0.7336237980769231; test accuracy: 0.1069 2025-09-25 01:03:54 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:04:39 [INFO] Epoch 10 loss: 319.34256649017334; train accuracy: 0.677734375; test accuracy: 0.3054 2025-09-25 01:04:39 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:05:35 [INFO] Epoch 10 loss: 377.6542477607727; train accuracy: 0.6848828125; test accuracy: 0.3979 2025-09-25 01:05:35 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:06:20 [INFO] Epoch 10 loss: 292.233642578125; train accuracy: 0.5565905448717948; test accuracy: 0.2253 2025-09-25 01:06:20 [INFO] Round 10 Finish--------| 2025-09-25 01:06:20 [INFO] Model variance: mean: 0.0016132107703015208, sum: 18025.939453125 2025-09-25 01:06:20 [INFO] g_protos_std: 1.0062077045440674 2025-09-25 01:06:29 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.5465 2025-09-25 01:06:29 [INFO] Round 11 starts--------| 2025-09-25 01:06:29 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:07:22 [INFO] Epoch 11 loss: 366.57522201538086; train accuracy: 0.7630615234375; test accuracy: 0.3792 2025-09-25 01:07:22 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:07:40 [INFO] Epoch 11 loss: 102.0901403427124; train accuracy: 0.7276141826923077; test accuracy: 0.1007 2025-09-25 01:07:40 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:08:27 [INFO] Epoch 11 loss: 314.53812074661255; train accuracy: 0.624365234375; test accuracy: 0.288 2025-09-25 01:08:27 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:09:23 [INFO] Epoch 11 loss: 378.1644067764282; train accuracy: 0.5775; test accuracy: 0.3489 2025-09-25 01:09:23 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:10:11 [INFO] Epoch 11 loss: 287.9578652381897; train accuracy: 0.7213040865384616; test accuracy: 0.2882 2025-09-25 01:10:11 [INFO] Round 11 Finish--------| 2025-09-25 01:10:11 [INFO] Model variance: mean: 0.0016877565067261457, sum: 18858.91015625 2025-09-25 01:10:11 [INFO] g_protos_std: 1.0062212944030762 2025-09-25 01:10:20 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.5675 2025-09-25 01:10:20 [INFO] Round 12 starts--------| 2025-09-25 01:10:20 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:11:15 [INFO] Epoch 12 loss: 359.4007296562195; train accuracy: 0.7909342447916666; test accuracy: 0.3922 2025-09-25 01:11:15 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:11:33 [INFO] Epoch 12 loss: 101.63758897781372; train accuracy: 0.7662259615384616; test accuracy: 0.1222 2025-09-25 01:11:33 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:12:20 [INFO] Epoch 12 loss: 313.2929334640503; train accuracy: 0.63798828125; test accuracy: 0.2748 2025-09-25 01:12:20 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:13:17 [INFO] Epoch 12 loss: 379.85569429397583; train accuracy: 0.58796875; test accuracy: 0.3452 2025-09-25 01:13:17 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:14:02 [INFO] Epoch 12 loss: 285.1065068244934; train accuracy: 0.7599659455128205; test accuracy: 0.3021 2025-09-25 01:14:02 [INFO] Round 12 Finish--------| 2025-09-25 01:14:02 [INFO] Model variance: mean: 0.0017602072330191731, sum: 19668.470703125 2025-09-25 01:14:02 [INFO] g_protos_std: 1.0062341690063477 2025-09-25 01:14:11 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.5734 2025-09-25 01:14:11 [INFO] Round 13 starts--------| 2025-09-25 01:14:11 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:15:06 [INFO] Epoch 13 loss: 357.7372531890869; train accuracy: 0.7406412760416666; test accuracy: 0.3645 2025-09-25 01:15:06 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:15:23 [INFO] Epoch 13 loss: 100.84140586853027; train accuracy: 0.7247596153846154; test accuracy: 0.1002 2025-09-25 01:15:23 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:16:08 [INFO] Epoch 13 loss: 313.1493353843689; train accuracy: 0.62890625; test accuracy: 0.295 2025-09-25 01:16:08 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:17:06 [INFO] Epoch 13 loss: 374.7454180717468; train accuracy: 0.733515625; test accuracy: 0.4633 2025-09-25 01:17:06 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:17:54 [INFO] Epoch 13 loss: 280.76660919189453; train accuracy: 0.76953125; test accuracy: 0.3062 2025-09-25 01:17:54 [INFO] Round 13 Finish--------| 2025-09-25 01:17:54 [INFO] Model variance: mean: 0.0018324656412005424, sum: 20475.8828125 2025-09-25 01:17:54 [INFO] g_protos_std: 1.0062518119812012 2025-09-25 01:18:02 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.5889 2025-09-25 01:18:02 [INFO] Round 14 starts--------| 2025-09-25 01:18:02 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:18:59 [INFO] Epoch 14 loss: 352.7784414291382; train accuracy: 0.7248942057291666; test accuracy: 0.3586 2025-09-25 01:18:59 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:19:16 [INFO] Epoch 14 loss: 100.70003271102905; train accuracy: 0.7182992788461539; test accuracy: 0.1506 2025-09-25 01:19:16 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:20:01 [INFO] Epoch 14 loss: 307.7964153289795; train accuracy: 0.633935546875; test accuracy: 0.3165 2025-09-25 01:20:01 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:20:58 [INFO] Epoch 14 loss: 368.6279969215393; train accuracy: 0.76484375; test accuracy: 0.4618 2025-09-25 01:20:58 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:21:44 [INFO] Epoch 14 loss: 283.60804414749146; train accuracy: 0.7626201923076923; test accuracy: 0.3061 2025-09-25 01:21:44 [INFO] Round 14 Finish--------| 2025-09-25 01:21:44 [INFO] Model variance: mean: 0.001902134856209159, sum: 21254.36328125 2025-09-25 01:21:44 [INFO] g_protos_std: 1.0062743425369263 2025-09-25 01:21:53 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.5991 2025-09-25 01:21:53 [INFO] Round 15 starts--------| 2025-09-25 01:21:53 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:22:47 [INFO] Epoch 15 loss: 350.3184576034546; train accuracy: 0.7152099609375; test accuracy: 0.353 2025-09-25 01:22:48 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:23:04 [INFO] Epoch 15 loss: 101.07928228378296; train accuracy: 0.7418870192307693; test accuracy: 0.107 2025-09-25 01:23:05 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:23:50 [INFO] Epoch 15 loss: 306.23561239242554; train accuracy: 0.6552734375; test accuracy: 0.3543 2025-09-25 01:23:51 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:24:45 [INFO] Epoch 15 loss: 362.49431705474854; train accuracy: 0.7053125; test accuracy: 0.4518 2025-09-25 01:24:45 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:25:31 [INFO] Epoch 15 loss: 280.4457116127014; train accuracy: 0.8337840544871795; test accuracy: 0.3283 2025-09-25 01:25:31 [INFO] Round 15 Finish--------| 2025-09-25 01:25:31 [INFO] Model variance: mean: 0.001969899283722043, sum: 22011.55859375 2025-09-25 01:25:31 [INFO] g_protos_std: 1.0062921047210693 2025-09-25 01:25:40 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.609 2025-09-25 01:25:40 [INFO] Round 16 starts--------| 2025-09-25 01:25:40 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:26:34 [INFO] Epoch 16 loss: 349.059365272522; train accuracy: 0.8233642578125; test accuracy: 0.4038 2025-09-25 01:26:34 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:26:50 [INFO] Epoch 16 loss: 101.44037866592407; train accuracy: 0.7573617788461539; test accuracy: 0.1155 2025-09-25 01:26:50 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:27:36 [INFO] Epoch 16 loss: 305.8543562889099; train accuracy: 0.742431640625; test accuracy: 0.3632 2025-09-25 01:27:36 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:28:34 [INFO] Epoch 16 loss: 362.31563663482666; train accuracy: 0.747734375; test accuracy: 0.4619 2025-09-25 01:28:34 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:29:19 [INFO] Epoch 16 loss: 275.6950798034668; train accuracy: 0.8227664262820513; test accuracy: 0.3285 2025-09-25 01:29:19 [INFO] Round 16 Finish--------| 2025-09-25 01:29:19 [INFO] Model variance: mean: 0.0020332494750618935, sum: 22719.431640625 2025-09-25 01:29:19 [INFO] g_protos_std: 1.0063039064407349 2025-09-25 01:29:28 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6083 2025-09-25 01:29:28 [INFO] Round 17 starts--------| 2025-09-25 01:29:28 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:30:23 [INFO] Epoch 17 loss: 343.49143409729004; train accuracy: 0.796630859375; test accuracy: 0.3943 2025-09-25 01:30:23 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:30:40 [INFO] Epoch 17 loss: 101.93948984146118; train accuracy: 0.7749399038461539; test accuracy: 0.1217 2025-09-25 01:30:40 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:31:29 [INFO] Epoch 17 loss: 305.28336668014526; train accuracy: 0.727978515625; test accuracy: 0.3585 2025-09-25 01:31:29 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:32:27 [INFO] Epoch 17 loss: 364.76909351348877; train accuracy: 0.692578125; test accuracy: 0.3988 2025-09-25 01:32:27 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:33:13 [INFO] Epoch 17 loss: 273.3268036842346; train accuracy: 0.8148537660256411; test accuracy: 0.3245 2025-09-25 01:33:13 [INFO] Round 17 Finish--------| 2025-09-25 01:33:13 [INFO] Model variance: mean: 0.002095939125865698, sum: 23419.921875 2025-09-25 01:33:13 [INFO] g_protos_std: 1.0063177347183228 2025-09-25 01:33:21 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6334 2025-09-25 01:33:21 [INFO] Round 18 starts--------| 2025-09-25 01:33:21 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:34:17 [INFO] Epoch 18 loss: 338.4158754348755; train accuracy: 0.8255615234375; test accuracy: 0.4099 2025-09-25 01:34:17 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:34:35 [INFO] Epoch 18 loss: 101.23074150085449; train accuracy: 0.7264122596153846; test accuracy: 0.1008 2025-09-25 01:34:35 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:35:22 [INFO] Epoch 18 loss: 301.48275995254517; train accuracy: 0.685546875; test accuracy: 0.3371 2025-09-25 01:35:22 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:36:19 [INFO] Epoch 18 loss: 358.49267196655273; train accuracy: 0.7122265625; test accuracy: 0.445 2025-09-25 01:36:19 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:37:04 [INFO] Epoch 18 loss: 272.4200315475464; train accuracy: 0.7633213141025641; test accuracy: 0.3056 2025-09-25 01:37:04 [INFO] Round 18 Finish--------| 2025-09-25 01:37:04 [INFO] Model variance: mean: 0.0021592790726572275, sum: 24127.6796875 2025-09-25 01:37:04 [INFO] g_protos_std: 1.0063369274139404 2025-09-25 01:37:13 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6365 2025-09-25 01:37:13 [INFO] Round 19 starts--------| 2025-09-25 01:37:13 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:38:10 [INFO] Epoch 19 loss: 337.65660667419434; train accuracy: 0.786376953125; test accuracy: 0.3864 2025-09-25 01:38:10 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:38:28 [INFO] Epoch 19 loss: 100.1082763671875; train accuracy: 0.7869591346153846; test accuracy: 0.1284 2025-09-25 01:38:28 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:39:13 [INFO] Epoch 19 loss: 296.99711179733276; train accuracy: 0.698095703125; test accuracy: 0.3855 2025-09-25 01:39:13 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:40:08 [INFO] Epoch 19 loss: 357.2964868545532; train accuracy: 0.7551171875; test accuracy: 0.4544 2025-09-25 01:40:08 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:40:52 [INFO] Epoch 19 loss: 271.3905248641968; train accuracy: 0.8516626602564102; test accuracy: 0.3364 2025-09-25 01:40:52 [INFO] Round 19 Finish--------| 2025-09-25 01:40:52 [INFO] Model variance: mean: 0.0022191687021404505, sum: 24796.884765625 2025-09-25 01:40:52 [INFO] g_protos_std: 1.006350040435791 2025-09-25 01:41:01 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6438 2025-09-25 01:41:01 [INFO] Round 20 starts--------| 2025-09-25 01:41:01 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:41:59 [INFO] Epoch 20 loss: 339.7616810798645; train accuracy: 0.8143717447916666; test accuracy: 0.4046 2025-09-25 01:41:59 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:42:17 [INFO] Epoch 20 loss: 99.8411283493042; train accuracy: 0.7417367788461539; test accuracy: 0.1079 2025-09-25 01:42:18 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:43:05 [INFO] Epoch 20 loss: 296.86270475387573; train accuracy: 0.6578125; test accuracy: 0.3312 2025-09-25 01:43:06 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:44:06 [INFO] Epoch 20 loss: 349.5461940765381; train accuracy: 0.7249609375; test accuracy: 0.4678 2025-09-25 01:44:06 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:44:55 [INFO] Epoch 20 loss: 272.6453666687012; train accuracy: 0.8399939903846154; test accuracy: 0.3333 2025-09-25 01:44:55 [INFO] Round 20 Finish--------| 2025-09-25 01:44:55 [INFO] Model variance: mean: 0.002278116997331381, sum: 25455.5703125 2025-09-25 01:44:55 [INFO] g_protos_std: 1.0063691139221191 2025-09-25 01:45:04 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6534 2025-09-25 01:45:04 [INFO] Round 21 starts--------| 2025-09-25 01:45:04 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:46:01 [INFO] Epoch 21 loss: 326.9559178352356; train accuracy: 0.7705078125; test accuracy: 0.3783 2025-09-25 01:46:01 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:46:18 [INFO] Epoch 21 loss: 99.81332063674927; train accuracy: 0.7842548076923077; test accuracy: 0.134 2025-09-25 01:46:18 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:47:03 [INFO] Epoch 21 loss: 295.5310802459717; train accuracy: 0.68935546875; test accuracy: 0.3479 2025-09-25 01:47:03 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:48:01 [INFO] Epoch 21 loss: 349.2445797920227; train accuracy: 0.77375; test accuracy: 0.4857 2025-09-25 01:48:01 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:48:46 [INFO] Epoch 21 loss: 268.74138832092285; train accuracy: 0.865234375; test accuracy: 0.3416 2025-09-25 01:48:46 [INFO] Round 21 Finish--------| 2025-09-25 01:48:46 [INFO] Model variance: mean: 0.0023374760057777166, sum: 26118.845703125 2025-09-25 01:48:46 [INFO] g_protos_std: 1.0063881874084473 2025-09-25 01:48:55 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6605 2025-09-25 01:48:55 [INFO] Round 22 starts--------| 2025-09-25 01:48:55 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:49:50 [INFO] Epoch 22 loss: 335.20946073532104; train accuracy: 0.8222249348958334; test accuracy: 0.409 2025-09-25 01:49:50 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:50:08 [INFO] Epoch 22 loss: 100.42379665374756; train accuracy: 0.7232572115384616; test accuracy: 0.1001 2025-09-25 01:50:08 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:50:55 [INFO] Epoch 22 loss: 292.80176734924316; train accuracy: 0.60849609375; test accuracy: 0.2881 2025-09-25 01:50:55 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:51:52 [INFO] Epoch 22 loss: 351.79018211364746; train accuracy: 0.7160546875; test accuracy: 0.4382 2025-09-25 01:51:52 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:52:39 [INFO] Epoch 22 loss: 271.303165435791; train accuracy: 0.6974158653846154; test accuracy: 0.2747 2025-09-25 01:52:39 [INFO] Round 22 Finish--------| 2025-09-25 01:52:39 [INFO] Model variance: mean: 0.0023939309176057577, sum: 26749.66796875 2025-09-25 01:52:39 [INFO] g_protos_std: 1.0063955783843994 2025-09-25 01:52:48 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6639 2025-09-25 01:52:48 [INFO] Round 23 starts--------| 2025-09-25 01:52:48 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:53:44 [INFO] Epoch 23 loss: 330.6327576637268; train accuracy: 0.8670654296875; test accuracy: 0.425 2025-09-25 01:53:44 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:54:01 [INFO] Epoch 23 loss: 100.72895574569702; train accuracy: 0.7333233173076923; test accuracy: 0.1134 2025-09-25 01:54:01 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:54:46 [INFO] Epoch 23 loss: 292.69251251220703; train accuracy: 0.733349609375; test accuracy: 0.4062 2025-09-25 01:54:46 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:55:43 [INFO] Epoch 23 loss: 353.31486463546753; train accuracy: 0.743125; test accuracy: 0.4571 2025-09-25 01:55:43 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:56:28 [INFO] Epoch 23 loss: 266.54583835601807; train accuracy: 0.8024839743589743; test accuracy: 0.3165 2025-09-25 01:56:28 [INFO] Round 23 Finish--------| 2025-09-25 01:56:28 [INFO] Model variance: mean: 0.002450681524351239, sum: 27383.796875 2025-09-25 01:56:28 [INFO] g_protos_std: 1.0064104795455933 2025-09-25 01:56:36 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6759 2025-09-25 01:56:36 [INFO] Round 24 starts--------| 2025-09-25 01:56:36 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:57:31 [INFO] Epoch 24 loss: 329.6386671066284; train accuracy: 0.8314208984375; test accuracy: 0.4066 2025-09-25 01:57:31 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:57:49 [INFO] Epoch 24 loss: 99.89329433441162; train accuracy: 0.7593149038461539; test accuracy: 0.1529 2025-09-25 01:57:49 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:58:36 [INFO] Epoch 24 loss: 295.62954092025757; train accuracy: 0.752099609375; test accuracy: 0.3915 2025-09-25 01:58:36 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:59:31 [INFO] Epoch 24 loss: 356.8068995475769; train accuracy: 0.7817578125; test accuracy: 0.4834 2025-09-25 01:59:31 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:00:18 [INFO] Epoch 24 loss: 272.1923727989197; train accuracy: 0.837089342948718; test accuracy: 0.3303 2025-09-25 02:00:18 [INFO] Round 24 Finish--------| 2025-09-25 02:00:18 [INFO] Model variance: mean: 0.0025024365168064833, sum: 27962.10546875 2025-09-25 02:00:18 [INFO] g_protos_std: 1.0064159631729126 2025-09-25 02:00:26 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6695 2025-09-25 02:00:26 [INFO] Round 25 starts--------| 2025-09-25 02:00:26 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:01:22 [INFO] Epoch 25 loss: 325.87126541137695; train accuracy: 0.8517659505208334; test accuracy: 0.4244 2025-09-25 02:01:23 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:01:39 [INFO] Epoch 25 loss: 99.89791488647461; train accuracy: 0.73828125; test accuracy: 0.1053 2025-09-25 02:01:40 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:02:27 [INFO] Epoch 25 loss: 291.4482922554016; train accuracy: 0.750244140625; test accuracy: 0.3951 2025-09-25 02:02:28 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:03:26 [INFO] Epoch 25 loss: 348.00997591018677; train accuracy: 0.81515625; test accuracy: 0.508 2025-09-25 02:03:27 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:04:14 [INFO] Epoch 25 loss: 274.660108089447; train accuracy: 0.8302784455128205; test accuracy: 0.329 2025-09-25 02:04:15 [INFO] Round 25 Finish--------| 2025-09-25 02:04:15 [INFO] Model variance: mean: 0.0025564348325133324, sum: 28565.48046875 2025-09-25 02:04:15 [INFO] g_protos_std: 1.0064326524734497 2025-09-25 02:04:24 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6759 2025-09-25 02:04:24 [INFO] Round 26 starts--------| 2025-09-25 02:04:24 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:05:18 [INFO] Epoch 26 loss: 325.83475971221924; train accuracy: 0.8752848307291666; test accuracy: 0.4262 2025-09-25 02:05:18 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:05:34 [INFO] Epoch 26 loss: 99.13114356994629; train accuracy: 0.8311298076923077; test accuracy: 0.1498 2025-09-25 02:05:34 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:06:21 [INFO] Epoch 26 loss: 288.9004559516907; train accuracy: 0.8123046875; test accuracy: 0.3963 2025-09-25 02:06:21 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:07:22 [INFO] Epoch 26 loss: 343.99295949935913; train accuracy: 0.8305859375; test accuracy: 0.5267 2025-09-25 02:07:22 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:08:06 [INFO] Epoch 26 loss: 263.3831434249878; train accuracy: 0.8555188301282052; test accuracy: 0.3395 2025-09-25 02:08:06 [INFO] Round 26 Finish--------| 2025-09-25 02:08:06 [INFO] Model variance: mean: 0.0026113376952707767, sum: 29178.9609375 2025-09-25 02:08:06 [INFO] g_protos_std: 1.0064531564712524 2025-09-25 02:08:15 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6938 2025-09-25 02:08:15 [INFO] Round 27 starts--------| 2025-09-25 02:08:15 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:09:08 [INFO] Epoch 27 loss: 319.8176579475403; train accuracy: 0.8315022786458334; test accuracy: 0.4084 2025-09-25 02:09:08 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:09:25 [INFO] Epoch 27 loss: 98.82795095443726; train accuracy: 0.8221153846153846; test accuracy: 0.1419 2025-09-25 02:09:25 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:10:13 [INFO] Epoch 27 loss: 286.0198564529419; train accuracy: 0.767236328125; test accuracy: 0.4114 2025-09-25 02:10:13 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:11:12 [INFO] Epoch 27 loss: 339.93474292755127; train accuracy: 0.7848046875; test accuracy: 0.4828 2025-09-25 02:11:12 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:11:58 [INFO] Epoch 27 loss: 267.3816123008728; train accuracy: 0.8634815705128205; test accuracy: 0.3405 2025-09-25 02:11:58 [INFO] Round 27 Finish--------| 2025-09-25 02:11:58 [INFO] Model variance: mean: 0.002662921790033579, sum: 29755.359375 2025-09-25 02:11:58 [INFO] g_protos_std: 1.0064669847488403 2025-09-25 02:12:07 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6778 2025-09-25 02:12:07 [INFO] Round 28 starts--------| 2025-09-25 02:12:07 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:13:01 [INFO] Epoch 28 loss: 325.79728174209595; train accuracy: 0.8046061197916666; test accuracy: 0.396 2025-09-25 02:13:01 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:13:19 [INFO] Epoch 28 loss: 99.4183988571167; train accuracy: 0.7902644230769231; test accuracy: 0.1275 2025-09-25 02:13:19 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:14:04 [INFO] Epoch 28 loss: 288.4899649620056; train accuracy: 0.7017578125; test accuracy: 0.3938 2025-09-25 02:14:04 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:15:02 [INFO] Epoch 28 loss: 341.2794232368469; train accuracy: 0.79546875; test accuracy: 0.4794 2025-09-25 02:15:02 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:15:49 [INFO] Epoch 28 loss: 259.229079246521; train accuracy: 0.8328826121794872; test accuracy: 0.3254 2025-09-25 02:15:49 [INFO] Round 28 Finish--------| 2025-09-25 02:15:49 [INFO] Model variance: mean: 0.002715403214097023, sum: 30341.78515625 2025-09-25 02:15:49 [INFO] g_protos_std: 1.006479263305664 2025-09-25 02:15:58 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6815 2025-09-25 02:15:58 [INFO] Round 29 starts--------| 2025-09-25 02:15:58 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:16:56 [INFO] Epoch 29 loss: 316.77986669540405; train accuracy: 0.876708984375; test accuracy: 0.4287 2025-09-25 02:16:56 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:17:14 [INFO] Epoch 29 loss: 100.06527757644653; train accuracy: 0.7444411057692307; test accuracy: 0.1085 2025-09-25 02:17:14 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:18:03 [INFO] Epoch 29 loss: 284.7205419540405; train accuracy: 0.706201171875; test accuracy: 0.3775 2025-09-25 02:18:03 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:19:01 [INFO] Epoch 29 loss: 336.60383892059326; train accuracy: 0.6792578125; test accuracy: 0.4687 2025-09-25 02:19:01 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:19:50 [INFO] Epoch 29 loss: 262.9215326309204; train accuracy: 0.8448517628205128; test accuracy: 0.3316 2025-09-25 02:19:50 [INFO] Round 29 Finish--------| 2025-09-25 02:19:50 [INFO] Model variance: mean: 0.002767084166407585, sum: 30919.265625 2025-09-25 02:19:50 [INFO] g_protos_std: 1.0064947605133057 2025-09-25 02:19:58 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6949 2025-09-25 02:19:58 [INFO] Round 30 starts--------| 2025-09-25 02:19:58 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:20:56 [INFO] Epoch 30 loss: 325.23999309539795; train accuracy: 0.8365478515625; test accuracy: 0.4126 2025-09-25 02:20:56 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:21:14 [INFO] Epoch 30 loss: 98.79401636123657; train accuracy: 0.8103966346153846; test accuracy: 0.1385 2025-09-25 02:21:14 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:22:03 [INFO] Epoch 30 loss: 286.1120810508728; train accuracy: 0.7548828125; test accuracy: 0.422 2025-09-25 02:22:03 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:23:04 [INFO] Epoch 30 loss: 342.49499130249023; train accuracy: 0.85578125; test accuracy: 0.5365 2025-09-25 02:23:04 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:23:52 [INFO] Epoch 30 loss: 261.766969203949; train accuracy: 0.8632311698717948; test accuracy: 0.3382 2025-09-25 02:23:53 [INFO] Round 30 Finish--------| 2025-09-25 02:23:53 [INFO] Model variance: mean: 0.0028159243520349264, sum: 31465.001953125 2025-09-25 02:23:53 [INFO] g_protos_std: 1.006508469581604 2025-09-25 02:24:01 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7024 2025-09-25 02:24:01 [INFO] Round 31 starts--------| 2025-09-25 02:24:01 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:24:57 [INFO] Epoch 31 loss: 320.6237053871155; train accuracy: 0.8563232421875; test accuracy: 0.423 2025-09-25 02:24:57 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:25:16 [INFO] Epoch 31 loss: 98.35474920272827; train accuracy: 0.5363581730769231; test accuracy: 0.1332 2025-09-25 02:25:16 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:26:04 [INFO] Epoch 31 loss: 280.61489629745483; train accuracy: 0.726806640625; test accuracy: 0.4056 2025-09-25 02:26:04 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:27:04 [INFO] Epoch 31 loss: 341.7692265510559; train accuracy: 0.726171875; test accuracy: 0.4787 2025-09-25 02:27:04 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:27:51 [INFO] Epoch 31 loss: 268.2470450401306; train accuracy: 0.8003806089743589; test accuracy: 0.3127 2025-09-25 02:27:51 [INFO] Round 31 Finish--------| 2025-09-25 02:27:51 [INFO] Model variance: mean: 0.00286568864248693, sum: 32021.06640625 2025-09-25 02:27:51 [INFO] g_protos_std: 1.0065199136734009 2025-09-25 02:28:00 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.716 2025-09-25 02:28:00 [INFO] Round 32 starts--------| 2025-09-25 02:28:00 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:28:57 [INFO] Epoch 32 loss: 321.8413710594177; train accuracy: 0.9031168619791666; test accuracy: 0.4416 2025-09-25 02:28:57 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:29:15 [INFO] Epoch 32 loss: 100.12643480300903; train accuracy: 0.7853064903846154; test accuracy: 0.1605 2025-09-25 02:29:15 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:30:03 [INFO] Epoch 32 loss: 278.62454557418823; train accuracy: 0.681103515625; test accuracy: 0.3489 2025-09-25 02:30:03 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:31:02 [INFO] Epoch 32 loss: 335.23497009277344; train accuracy: 0.8162890625; test accuracy: 0.4929 2025-09-25 02:31:02 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:31:48 [INFO] Epoch 32 loss: 265.17885303497314; train accuracy: 0.8551682692307693; test accuracy: 0.3373 2025-09-25 02:31:48 [INFO] Round 32 Finish--------| 2025-09-25 02:31:48 [INFO] Model variance: mean: 0.0029141476843506098, sum: 32562.544921875 2025-09-25 02:31:48 [INFO] g_protos_std: 1.006531834602356 2025-09-25 02:31:57 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6972 2025-09-25 02:31:57 [INFO] Round 33 starts--------| 2025-09-25 02:31:57 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:32:51 [INFO] Epoch 33 loss: 310.1457009315491; train accuracy: 0.8333333333333334; test accuracy: 0.407 2025-09-25 02:32:51 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:33:07 [INFO] Epoch 33 loss: 98.45972967147827; train accuracy: 0.7997295673076923; test accuracy: 0.1312 2025-09-25 02:33:07 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:33:53 [INFO] Epoch 33 loss: 281.62599897384644; train accuracy: 0.772265625; test accuracy: 0.4011 2025-09-25 02:33:53 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:34:49 [INFO] Epoch 33 loss: 332.4882278442383; train accuracy: 0.7071875; test accuracy: 0.435 2025-09-25 02:34:49 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:35:33 [INFO] Epoch 33 loss: 266.47472190856934; train accuracy: 0.8272736378205128; test accuracy: 0.3257 2025-09-25 02:35:33 [INFO] Round 33 Finish--------| 2025-09-25 02:35:33 [INFO] Model variance: mean: 0.002963152714073658, sum: 33110.125 2025-09-25 02:35:33 [INFO] g_protos_std: 1.006550908088684 2025-09-25 02:35:41 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7247 2025-09-25 02:35:41 [INFO] Round 34 starts--------| 2025-09-25 02:35:41 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:36:34 [INFO] Epoch 34 loss: 315.8985719680786; train accuracy: 0.8954671223958334; test accuracy: 0.4341 2025-09-25 02:36:34 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:36:50 [INFO] Epoch 34 loss: 97.69811582565308; train accuracy: 0.7934194711538461; test accuracy: 0.1328 2025-09-25 02:36:50 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:37:35 [INFO] Epoch 34 loss: 286.4181604385376; train accuracy: 0.76494140625; test accuracy: 0.4364 2025-09-25 02:37:35 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:38:32 [INFO] Epoch 34 loss: 329.55601167678833; train accuracy: 0.81890625; test accuracy: 0.5046 2025-09-25 02:38:32 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:39:19 [INFO] Epoch 34 loss: 261.755578994751; train accuracy: 0.772636217948718; test accuracy: 0.3031 2025-09-25 02:39:19 [INFO] Round 34 Finish--------| 2025-09-25 02:39:19 [INFO] Model variance: mean: 0.0030102061573415995, sum: 33635.8984375 2025-09-25 02:39:19 [INFO] g_protos_std: 1.00656259059906 2025-09-25 02:39:27 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7172 2025-09-25 02:39:27 [INFO] Round 35 starts--------| 2025-09-25 02:39:27 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:40:25 [INFO] Epoch 35 loss: 315.6675429344177; train accuracy: 0.8687337239583334; test accuracy: 0.4333 2025-09-25 02:40:25 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:40:43 [INFO] Epoch 35 loss: 99.10263442993164; train accuracy: 0.8366887019230769; test accuracy: 0.1582 2025-09-25 02:40:44 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:41:31 [INFO] Epoch 35 loss: 281.57864809036255; train accuracy: 0.79248046875; test accuracy: 0.435 2025-09-25 02:41:32 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:42:31 [INFO] Epoch 35 loss: 334.1940679550171; train accuracy: 0.8426171875; test accuracy: 0.5275 2025-09-25 02:42:31 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:43:15 [INFO] Epoch 35 loss: 262.94810676574707; train accuracy: 0.885566907051282; test accuracy: 0.35 2025-09-25 02:43:16 [INFO] Round 35 Finish--------| 2025-09-25 02:43:16 [INFO] Model variance: mean: 0.003056412562727928, sum: 34152.20703125 2025-09-25 02:43:16 [INFO] g_protos_std: 1.0065704584121704 2025-09-25 02:43:24 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7166 2025-09-25 02:43:24 [INFO] Round 36 starts--------| 2025-09-25 02:43:24 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:44:19 [INFO] Epoch 36 loss: 310.3124780654907; train accuracy: 0.8872477213541666; test accuracy: 0.4317 2025-09-25 02:44:19 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:44:36 [INFO] Epoch 36 loss: 98.02053022384644; train accuracy: 0.8252704326923077; test accuracy: 0.157 2025-09-25 02:44:36 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:45:21 [INFO] Epoch 36 loss: 274.03340578079224; train accuracy: 0.72421875; test accuracy: 0.3866 2025-09-25 02:45:21 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:46:18 [INFO] Epoch 36 loss: 335.30018520355225; train accuracy: 0.868515625; test accuracy: 0.559 2025-09-25 02:46:18 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:47:05 [INFO] Epoch 36 loss: 259.3083348274231; train accuracy: 0.8472055288461539; test accuracy: 0.3355 2025-09-25 02:47:05 [INFO] Round 36 Finish--------| 2025-09-25 02:47:05 [INFO] Model variance: mean: 0.003103595692664385, sum: 34679.4296875 2025-09-25 02:47:05 [INFO] g_protos_std: 1.006590485572815 2025-09-25 02:47:13 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7281 2025-09-25 02:47:13 [INFO] Round 37 starts--------| 2025-09-25 02:47:13 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:48:09 [INFO] Epoch 37 loss: 312.2940320968628; train accuracy: 0.904296875; test accuracy: 0.4391 2025-09-25 02:48:09 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:48:26 [INFO] Epoch 37 loss: 99.18229293823242; train accuracy: 0.8327824519230769; test accuracy: 0.1573 2025-09-25 02:48:26 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:49:12 [INFO] Epoch 37 loss: 280.2202229499817; train accuracy: 0.83525390625; test accuracy: 0.4525 2025-09-25 02:49:12 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:50:09 [INFO] Epoch 37 loss: 333.06233644485474; train accuracy: 0.83484375; test accuracy: 0.5442 2025-09-25 02:50:09 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:50:55 [INFO] Epoch 37 loss: 257.95587635040283; train accuracy: 0.8800080128205128; test accuracy: 0.3476 2025-09-25 02:50:55 [INFO] Round 37 Finish--------| 2025-09-25 02:50:55 [INFO] Model variance: mean: 0.0031481669284403324, sum: 35177.46484375 2025-09-25 02:50:55 [INFO] g_protos_std: 1.0065962076187134 2025-09-25 02:51:04 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7323 2025-09-25 02:51:04 [INFO] Round 38 starts--------| 2025-09-25 02:51:04 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:51:58 [INFO] Epoch 38 loss: 318.72121238708496; train accuracy: 0.8658040364583334; test accuracy: 0.4285 2025-09-25 02:51:58 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:52:15 [INFO] Epoch 38 loss: 98.52305555343628; train accuracy: 0.7459435096153846; test accuracy: 0.1565 2025-09-25 02:52:15 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:53:01 [INFO] Epoch 38 loss: 278.37573766708374; train accuracy: 0.788037109375; test accuracy: 0.4368 2025-09-25 02:53:01 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:53:55 [INFO] Epoch 38 loss: 328.27470111846924; train accuracy: 0.882421875; test accuracy: 0.5604 2025-09-25 02:53:55 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:54:40 [INFO] Epoch 38 loss: 257.7477698326111; train accuracy: 0.8355869391025641; test accuracy: 0.3309 2025-09-25 02:54:40 [INFO] Round 38 Finish--------| 2025-09-25 02:54:40 [INFO] Model variance: mean: 0.0031934462022036314, sum: 35683.4140625 2025-09-25 02:54:40 [INFO] g_protos_std: 1.0066132545471191 2025-09-25 02:54:49 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7324 2025-09-25 02:54:49 [INFO] Round 39 starts--------| 2025-09-25 02:54:49 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:55:44 [INFO] Epoch 39 loss: 304.612832069397; train accuracy: 0.9017333984375; test accuracy: 0.437 2025-09-25 02:55:44 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:56:01 [INFO] Epoch 39 loss: 97.96368217468262; train accuracy: 0.7378305288461539; test accuracy: 0.1504 2025-09-25 02:56:01 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:56:48 [INFO] Epoch 39 loss: 274.60469675064087; train accuracy: 0.754833984375; test accuracy: 0.4221 2025-09-25 02:56:48 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:57:48 [INFO] Epoch 39 loss: 329.65176725387573; train accuracy: 0.8441796875; test accuracy: 0.5353 2025-09-25 02:57:48 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:58:33 [INFO] Epoch 39 loss: 261.30770778656006; train accuracy: 0.8678385416666666; test accuracy: 0.3408 2025-09-25 02:58:33 [INFO] Round 39 Finish--------| 2025-09-25 02:58:33 [INFO] Model variance: mean: 0.003237765282392502, sum: 36178.6328125 2025-09-25 02:58:33 [INFO] g_protos_std: 1.0066239833831787 2025-09-25 02:58:41 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7232 2025-09-25 02:58:41 [INFO] Round 40 starts--------| 2025-09-25 02:58:41 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:59:36 [INFO] Epoch 40 loss: 302.2716760635376; train accuracy: 0.8777669270833334; test accuracy: 0.4279 2025-09-25 02:59:37 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:59:53 [INFO] Epoch 40 loss: 97.84882164001465; train accuracy: 0.8572716346153846; test accuracy: 0.1538 2025-09-25 02:59:54 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:00:39 [INFO] Epoch 40 loss: 279.99175786972046; train accuracy: 0.698779296875; test accuracy: 0.3897 2025-09-25 03:00:39 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:01:33 [INFO] Epoch 40 loss: 323.595196723938; train accuracy: 0.773203125; test accuracy: 0.4505 2025-09-25 03:01:34 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:02:16 [INFO] Epoch 40 loss: 253.82156705856323; train accuracy: 0.8926782852564102; test accuracy: 0.3502 2025-09-25 03:02:16 [INFO] Round 40 Finish--------| 2025-09-25 03:02:16 [INFO] Model variance: mean: 0.003283244790509343, sum: 36686.8203125 2025-09-25 03:02:16 [INFO] g_protos_std: 1.0066438913345337 2025-09-25 03:02:25 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7321 2025-09-25 03:02:25 [INFO] Round 41 starts--------| 2025-09-25 03:02:25 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:03:16 [INFO] Epoch 41 loss: 309.499547958374; train accuracy: 0.8837890625; test accuracy: 0.4289 2025-09-25 03:03:16 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:03:32 [INFO] Epoch 41 loss: 97.88692283630371; train accuracy: 0.8267728365384616; test accuracy: 0.1584 2025-09-25 03:03:32 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:04:18 [INFO] Epoch 41 loss: 274.20536947250366; train accuracy: 0.78447265625; test accuracy: 0.3958 2025-09-25 03:04:18 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:05:13 [INFO] Epoch 41 loss: 331.8920331001282; train accuracy: 0.8116015625; test accuracy: 0.5113 2025-09-25 03:05:13 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:05:56 [INFO] Epoch 41 loss: 256.769775390625; train accuracy: 0.8693910256410257; test accuracy: 0.3444 2025-09-25 03:05:56 [INFO] Round 41 Finish--------| 2025-09-25 03:05:56 [INFO] Model variance: mean: 0.003325610188767314, sum: 37160.20703125 2025-09-25 03:05:56 [INFO] g_protos_std: 1.0066523551940918 2025-09-25 03:06:05 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7298 2025-09-25 03:06:05 [INFO] Round 42 starts--------| 2025-09-25 03:06:05 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:06:56 [INFO] Epoch 42 loss: 303.19155073165894; train accuracy: 0.8968505859375; test accuracy: 0.4304 2025-09-25 03:06:56 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:07:12 [INFO] Epoch 42 loss: 96.18161630630493; train accuracy: 0.7259615384615384; test accuracy: 0.1549 2025-09-25 03:07:12 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:07:55 [INFO] Epoch 42 loss: 278.5373258590698; train accuracy: 0.801904296875; test accuracy: 0.4142 2025-09-25 03:07:55 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:08:50 [INFO] Epoch 42 loss: 327.824818611145; train accuracy: 0.7876171875; test accuracy: 0.4887 2025-09-25 03:08:50 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:09:32 [INFO] Epoch 42 loss: 255.12735319137573; train accuracy: 0.8920272435897436; test accuracy: 0.3511 2025-09-25 03:09:32 [INFO] Round 42 Finish--------| 2025-09-25 03:09:32 [INFO] Model variance: mean: 0.0033688240218907595, sum: 37643.078125 2025-09-25 03:09:32 [INFO] g_protos_std: 1.0066680908203125 2025-09-25 03:09:41 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7395 2025-09-25 03:09:41 [INFO] Round 43 starts--------| 2025-09-25 03:09:41 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:10:31 [INFO] Epoch 43 loss: 313.7113604545593; train accuracy: 0.873046875; test accuracy: 0.4235 2025-09-25 03:10:31 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:10:47 [INFO] Epoch 43 loss: 96.678719997406; train accuracy: 0.8215144230769231; test accuracy: 0.1382 2025-09-25 03:10:47 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:11:30 [INFO] Epoch 43 loss: 271.12873363494873; train accuracy: 0.8142578125; test accuracy: 0.4379 2025-09-25 03:11:30 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:12:23 [INFO] Epoch 43 loss: 326.6576385498047; train accuracy: 0.781171875; test accuracy: 0.455 2025-09-25 03:12:23 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:13:05 [INFO] Epoch 43 loss: 256.45815801620483; train accuracy: 0.8443509615384616; test accuracy: 0.3337 2025-09-25 03:13:05 [INFO] Round 43 Finish--------| 2025-09-25 03:13:05 [INFO] Model variance: mean: 0.003411864396184683, sum: 38124.0078125 2025-09-25 03:13:05 [INFO] g_protos_std: 1.0066819190979004 2025-09-25 03:13:14 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7315 2025-09-25 03:13:14 [INFO] Round 44 starts--------| 2025-09-25 03:13:14 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:14:05 [INFO] Epoch 44 loss: 307.76352643966675; train accuracy: 0.8824462890625; test accuracy: 0.4263 2025-09-25 03:14:05 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:14:22 [INFO] Epoch 44 loss: 97.48412704467773; train accuracy: 0.8121995192307693; test accuracy: 0.134 2025-09-25 03:14:22 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:15:04 [INFO] Epoch 44 loss: 271.3448076248169; train accuracy: 0.81376953125; test accuracy: 0.4341 2025-09-25 03:15:04 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:15:56 [INFO] Epoch 44 loss: 320.07448959350586; train accuracy: 0.73625; test accuracy: 0.4622 2025-09-25 03:15:56 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:16:40 [INFO] Epoch 44 loss: 256.70030450820923; train accuracy: 0.8719951923076923; test accuracy: 0.342 2025-09-25 03:16:40 [INFO] Round 44 Finish--------| 2025-09-25 03:16:40 [INFO] Model variance: mean: 0.003454395569860935, sum: 38599.25 2025-09-25 03:16:40 [INFO] g_protos_std: 1.00669527053833 2025-09-25 03:16:48 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.75 2025-09-25 03:16:48 [INFO] Round 45 starts--------| 2025-09-25 03:16:48 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:17:39 [INFO] Epoch 45 loss: 306.75548934936523; train accuracy: 0.9154866536458334; test accuracy: 0.4489 2025-09-25 03:17:39 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:17:55 [INFO] Epoch 45 loss: 96.79254865646362; train accuracy: 0.7453425480769231; test accuracy: 0.1595 2025-09-25 03:17:55 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:18:39 [INFO] Epoch 45 loss: 270.05234479904175; train accuracy: 0.771826171875; test accuracy: 0.4111 2025-09-25 03:18:39 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:19:31 [INFO] Epoch 45 loss: 324.8655319213867; train accuracy: 0.7353125; test accuracy: 0.4656 2025-09-25 03:19:32 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:20:15 [INFO] Epoch 45 loss: 252.7361650466919; train accuracy: 0.8578225160256411; test accuracy: 0.3352 2025-09-25 03:20:16 [INFO] Round 45 Finish--------| 2025-09-25 03:20:16 [INFO] Model variance: mean: 0.003496169578284025, sum: 39066.03125 2025-09-25 03:20:16 [INFO] g_protos_std: 1.006704568862915 2025-09-25 03:20:24 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7469 2025-09-25 03:20:24 [INFO] Round 46 starts--------| 2025-09-25 03:20:24 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:21:18 [INFO] Epoch 46 loss: 307.62104845046997; train accuracy: 0.9229736328125; test accuracy: 0.4466 2025-09-25 03:21:18 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:21:34 [INFO] Epoch 46 loss: 96.36136436462402; train accuracy: 0.6813401442307693; test accuracy: 0.1479 2025-09-25 03:21:34 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:22:19 [INFO] Epoch 46 loss: 275.8238124847412; train accuracy: 0.739208984375; test accuracy: 0.4326 2025-09-25 03:22:19 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:23:14 [INFO] Epoch 46 loss: 318.75024461746216; train accuracy: 0.8448046875; test accuracy: 0.521 2025-09-25 03:23:14 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:23:56 [INFO] Epoch 46 loss: 252.81762218475342; train accuracy: 0.8320813301282052; test accuracy: 0.3288 2025-09-25 03:23:56 [INFO] Round 46 Finish--------| 2025-09-25 03:23:56 [INFO] Model variance: mean: 0.003537338227033615, sum: 39526.046875 2025-09-25 03:23:56 [INFO] g_protos_std: 1.0067194700241089 2025-09-25 03:24:05 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7496 2025-09-25 03:24:05 [INFO] Round 47 starts--------| 2025-09-25 03:24:05 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:25:00 [INFO] Epoch 47 loss: 308.38402938842773; train accuracy: 0.9032389322916666; test accuracy: 0.4389 2025-09-25 03:25:00 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:25:17 [INFO] Epoch 47 loss: 97.92744255065918; train accuracy: 0.8638822115384616; test accuracy: 0.1662 2025-09-25 03:25:17 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:26:02 [INFO] Epoch 47 loss: 267.4194121360779; train accuracy: 0.77197265625; test accuracy: 0.4403 2025-09-25 03:26:02 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:26:56 [INFO] Epoch 47 loss: 319.37430810928345; train accuracy: 0.8743359375; test accuracy: 0.5627 2025-09-25 03:26:56 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:27:38 [INFO] Epoch 47 loss: 257.24138593673706; train accuracy: 0.8607772435897436; test accuracy: 0.3373 2025-09-25 03:27:38 [INFO] Round 47 Finish--------| 2025-09-25 03:27:38 [INFO] Model variance: mean: 0.0035786041989922523, sum: 39987.15234375 2025-09-25 03:27:38 [INFO] g_protos_std: 1.006730556488037 2025-09-25 03:27:47 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7528 2025-09-25 03:27:47 [INFO] Round 48 starts--------| 2025-09-25 03:27:47 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:28:38 [INFO] Epoch 48 loss: 302.9743843078613; train accuracy: 0.9124348958333334; test accuracy: 0.4573 2025-09-25 03:28:38 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:28:54 [INFO] Epoch 48 loss: 96.92425775527954; train accuracy: 0.7868088942307693; test accuracy: 0.1249 2025-09-25 03:28:54 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:29:37 [INFO] Epoch 48 loss: 269.8630347251892; train accuracy: 0.81025390625; test accuracy: 0.4301 2025-09-25 03:29:37 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:30:32 [INFO] Epoch 48 loss: 320.90080213546753; train accuracy: 0.8677734375; test accuracy: 0.5443 2025-09-25 03:30:32 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:31:14 [INFO] Epoch 48 loss: 250.10098457336426; train accuracy: 0.8707431891025641; test accuracy: 0.3428 2025-09-25 03:31:14 [INFO] Round 48 Finish--------| 2025-09-25 03:31:14 [INFO] Model variance: mean: 0.003619012888520956, sum: 40438.67578125 2025-09-25 03:31:14 [INFO] g_protos_std: 1.0067427158355713 2025-09-25 03:31:22 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7496 2025-09-25 03:31:22 [INFO] Round 49 starts--------| 2025-09-25 03:31:22 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:32:13 [INFO] Epoch 49 loss: 301.68103313446045; train accuracy: 0.9219970703125; test accuracy: 0.4524 2025-09-25 03:32:13 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:32:29 [INFO] Epoch 49 loss: 97.1147608757019; train accuracy: 0.8158052884615384; test accuracy: 0.1471 2025-09-25 03:32:29 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:33:13 [INFO] Epoch 49 loss: 269.82630681991577; train accuracy: 0.7525390625; test accuracy: 0.4214 2025-09-25 03:33:13 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:34:05 [INFO] Epoch 49 loss: 324.75731468200684; train accuracy: 0.8105078125; test accuracy: 0.5139 2025-09-25 03:34:05 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:34:47 [INFO] Epoch 49 loss: 257.5072932243347; train accuracy: 0.8441506410256411; test accuracy: 0.3338 2025-09-25 03:34:47 [INFO] Round 49 Finish--------| 2025-09-25 03:34:47 [INFO] Model variance: mean: 0.0036587887443602085, sum: 40883.12890625 2025-09-25 03:34:47 [INFO] g_protos_std: 1.0067535638809204 2025-09-25 03:34:55 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.76 2025-09-25 03:34:55 [INFO] Round 50 starts--------| 2025-09-25 03:34:55 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:35:45 [INFO] Epoch 50 loss: 311.1139283180237; train accuracy: 0.9085286458333334; test accuracy: 0.4449 2025-09-25 03:35:46 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:36:02 [INFO] Epoch 50 loss: 97.07635545730591; train accuracy: 0.8177584134615384; test accuracy: 0.1617 2025-09-25 03:36:02 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:36:46 [INFO] Epoch 50 loss: 272.0973873138428; train accuracy: 0.78291015625; test accuracy: 0.4398 2025-09-25 03:36:47 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:37:41 [INFO] Epoch 50 loss: 321.1364498138428; train accuracy: 0.871875; test accuracy: 0.5679 2025-09-25 03:37:42 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:38:23 [INFO] Epoch 50 loss: 254.4443998336792; train accuracy: 0.9004407051282052; test accuracy: 0.3512 2025-09-25 03:38:24 [INFO] Round 50 Finish--------| 2025-09-25 03:38:24 [INFO] Model variance: mean: 0.003696638625115156, sum: 41306.0625 2025-09-25 03:38:24 [INFO] g_protos_std: 1.0067564249038696 2025-09-25 03:38:33 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.761 2025-09-25 00:24:28 [INFO] Load config from ./configs/CIFAR10_alpha0.3.yaml 2025-09-25 00:24:28 [INFO] config: {'exp_name': 'CIFAR10_alpha0.3', 'dataset': {'data_name': 'CIFAR10', 'root_path': 'H:/codes/dataset', 'train_batch_size': 512, 'test_batch_size': 256, 'channels': 3, 'num_classes': 10, 'image_size': 32}, 'distribution': {'type': 'dirichlet', 'label_num_per_client': 2, 'alpha': 0.3}, 'client': {'num_clients': 5}, 'server': {'num_rounds': 300, 'frac_clients': 1.0, 'lr': 0.05, 'local_epochs': 1, 'optimizer': 'sgd', 'momentum': 0.9, 'weight_decay': 0.0001, 'loss_name': 'ce', 'model_name': 'resnet18', 'aggregated_by_datasize': True, 'lr_decay_per_round': 0.998}, 'device': 'cuda:0', 'checkpoint': {'save_path': './checkpoints/', 'save_freq': 5, 'result_file': 'CIFAR10_results.yaml'}, 'pretrain': {'lr': 0.01, 'epoch': 70, 'model_path': './pretrain/', 'momentum': 0.9, 'weight_decay': 0.0001, 'model_name': 'resnet18', 'model_file_name': 'resnet18-f37072fd.pth'}, 'DBCD': {'alpha_l_pa': 1, 'alpha_l_pb': 1, 'alpha_l_pc': 0.0, 'Beta_alpha': 0.2, 'unsup_method': 'infonce', 'contrastive_temperature': 0.5, 'encoder_epoch': 40, 'projector_epoch': 10, 'use_pretrain': False, 'aug_batch_size': 512, 'encoder_lr': 0.03, 'cls_optimizer': 'sgd', 'cls_lr': 0.05, 'supcon_temp': 0.07, 'super_gr': 100, 'aux_with_public': True}, 'etf': {'loss_name': 'ce'}, 'visualization': {'interval': 5, 'save_path': 'visualization/resnet18', 'vis_size': 16}, 'resume': True, 'resume_best': False, 'seed': 1} 2025-09-25 00:24:30 [INFO] Dataset CIFAR10 loaded 2025-09-25 00:24:30 [INFO] Dataset index dict loaded from preprocessed_data/CIFAR10.pt 2025-09-25 00:24:31 [INFO] OneshotOurs 2025-09-25 00:24:32 [INFO] Round 0 starts--------| 2025-09-25 00:24:32 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:24:36 [INFO] generating sample per sample 2025-09-25 00:25:10 [INFO] Epoch 0 loss: 397.4656295776367; train accuracy: 0.3972039473684211; test accuracy: 0.1551 2025-09-25 00:25:10 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:25:19 [INFO] generating sample per sample 2025-09-25 00:26:14 [INFO] Epoch 0 loss: 639.5694704055786; train accuracy: 0.27435105846774194; test accuracy: 0.1734 2025-09-25 00:26:14 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:26:23 [INFO] generating sample per sample 2025-09-25 00:27:21 [INFO] Epoch 0 loss: 723.9420337677002; train accuracy: 0.2919214221014493; test accuracy: 0.2102 2025-09-25 00:27:21 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:27:26 [INFO] generating sample per sample 2025-09-25 00:28:06 [INFO] Epoch 0 loss: 453.05716609954834; train accuracy: 0.2526633522727273; test accuracy: 0.1755 2025-09-25 00:28:07 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:28:13 [INFO] generating sample per sample 2025-09-25 00:29:00 [INFO] Epoch 0 loss: 493.9087505340576; train accuracy: 0.2263671875; test accuracy: 0.118 2025-09-25 00:29:00 [INFO] Round 0 Finish--------| 2025-09-25 00:29:00 [INFO] Model variance: mean: 0.000622703111730516, sum: 6958.0546875 2025-09-25 00:29:00 [INFO] g_protos_std: 1.0059874057769775 2025-09-25 00:29:06 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.3037 2025-09-25 00:29:06 [INFO] Round 1 starts--------| 2025-09-25 00:29:06 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:29:42 [INFO] Epoch 1 loss: 358.5286340713501; train accuracy: 0.3822985197368421; test accuracy: 0.1501 2025-09-25 00:29:42 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:30:39 [INFO] Epoch 1 loss: 593.2674188613892; train accuracy: 0.3406313004032258; test accuracy: 0.2237 2025-09-25 00:30:39 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:31:42 [INFO] Epoch 1 loss: 673.8849143981934; train accuracy: 0.31739696557971014; test accuracy: 0.2323 2025-09-25 00:31:42 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:32:22 [INFO] Epoch 1 loss: 413.6703824996948; train accuracy: 0.30064808238636365; test accuracy: 0.1922 2025-09-25 00:32:22 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:33:04 [INFO] Epoch 1 loss: 450.16279888153076; train accuracy: 0.352421875; test accuracy: 0.1801 2025-09-25 00:33:04 [INFO] Round 1 Finish--------| 2025-09-25 00:33:04 [INFO] Model variance: mean: 0.0008485746802762151, sum: 9481.9326171875 2025-09-25 00:33:04 [INFO] g_protos_std: 1.0059796571731567 2025-09-25 00:33:09 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.4074 2025-09-25 00:33:09 [INFO] Round 2 starts--------| 2025-09-25 00:33:09 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:33:43 [INFO] Epoch 2 loss: 350.0599374771118; train accuracy: 0.35922080592105265; test accuracy: 0.1447 2025-09-25 00:33:43 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:34:37 [INFO] Epoch 2 loss: 566.664155960083; train accuracy: 0.32544732862903225; test accuracy: 0.2144 2025-09-25 00:34:37 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:35:35 [INFO] Epoch 2 loss: 653.8885660171509; train accuracy: 0.37406589673913043; test accuracy: 0.288 2025-09-25 00:35:35 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:36:12 [INFO] Epoch 2 loss: 391.2167167663574; train accuracy: 0.3341619318181818; test accuracy: 0.2065 2025-09-25 00:36:12 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:36:56 [INFO] Epoch 2 loss: 441.54154109954834; train accuracy: 0.359140625; test accuracy: 0.1849 2025-09-25 00:36:56 [INFO] Round 2 Finish--------| 2025-09-25 00:36:56 [INFO] Model variance: mean: 0.001033975393511355, sum: 11553.591796875 2025-09-25 00:36:56 [INFO] g_protos_std: 1.0059818029403687 2025-09-25 00:37:01 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.4479 2025-09-25 00:37:01 [INFO] Round 3 starts--------| 2025-09-25 00:37:01 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:37:34 [INFO] Epoch 3 loss: 345.2817630767822; train accuracy: 0.34750205592105265; test accuracy: 0.1609 2025-09-25 00:37:34 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:38:28 [INFO] Epoch 3 loss: 549.8023462295532; train accuracy: 0.48528855846774194; test accuracy: 0.3156 2025-09-25 00:38:28 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:39:28 [INFO] Epoch 3 loss: 634.8319082260132; train accuracy: 0.43500905797101447; test accuracy: 0.342 2025-09-25 00:39:28 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:40:05 [INFO] Epoch 3 loss: 384.57726097106934; train accuracy: 0.4240056818181818; test accuracy: 0.2602 2025-09-25 00:40:05 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:40:46 [INFO] Epoch 3 loss: 428.79166650772095; train accuracy: 0.4233984375; test accuracy: 0.218 2025-09-25 00:40:46 [INFO] Round 3 Finish--------| 2025-09-25 00:40:46 [INFO] Model variance: mean: 0.0011891707545146346, sum: 13287.7373046875 2025-09-25 00:40:46 [INFO] g_protos_std: 1.0059880018234253 2025-09-25 00:40:51 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.4966 2025-09-25 00:40:51 [INFO] Round 4 starts--------| 2025-09-25 00:40:51 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:41:25 [INFO] Epoch 4 loss: 339.2158508300781; train accuracy: 0.4929070723684211; test accuracy: 0.2069 2025-09-25 00:41:25 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:42:18 [INFO] Epoch 4 loss: 532.4914903640747; train accuracy: 0.5137978830645161; test accuracy: 0.3418 2025-09-25 00:42:18 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:43:16 [INFO] Epoch 4 loss: 619.4267225265503; train accuracy: 0.49946218297101447; test accuracy: 0.3637 2025-09-25 00:43:16 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:43:55 [INFO] Epoch 4 loss: 377.90617418289185; train accuracy: 0.38782848011363635; test accuracy: 0.2048 2025-09-25 00:43:55 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:44:39 [INFO] Epoch 4 loss: 417.9137907028198; train accuracy: 0.496875; test accuracy: 0.2512 2025-09-25 00:44:39 [INFO] Round 4 Finish--------| 2025-09-25 00:44:39 [INFO] Model variance: mean: 0.0013356396229937673, sum: 14924.373046875 2025-09-25 00:44:39 [INFO] g_protos_std: 1.0060060024261475 2025-09-25 00:44:44 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.529 2025-09-25 00:44:44 [INFO] Round 5 starts--------| 2025-09-25 00:44:44 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:45:16 [INFO] Epoch 5 loss: 337.26091480255127; train accuracy: 0.4248046875; test accuracy: 0.1877 2025-09-25 00:45:16 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:46:11 [INFO] Epoch 5 loss: 514.332353591919; train accuracy: 0.4965662802419355; test accuracy: 0.3443 2025-09-25 00:46:11 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:47:16 [INFO] Epoch 5 loss: 609.381459236145; train accuracy: 0.5176913496376812; test accuracy: 0.3891 2025-09-25 00:47:16 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:47:56 [INFO] Epoch 5 loss: 368.4526515007019; train accuracy: 0.5577059659090909; test accuracy: 0.3022 2025-09-25 00:47:56 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:48:42 [INFO] Epoch 5 loss: 408.04685735702515; train accuracy: 0.543984375; test accuracy: 0.2792 2025-09-25 00:48:42 [INFO] Round 5 Finish--------| 2025-09-25 00:48:42 [INFO] Model variance: mean: 0.0014749281108379364, sum: 16480.775390625 2025-09-25 00:48:42 [INFO] g_protos_std: 1.0060272216796875 2025-09-25 00:48:47 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.5702 2025-09-25 00:48:47 [INFO] Round 6 starts--------| 2025-09-25 00:48:47 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:49:22 [INFO] Epoch 6 loss: 329.0546073913574; train accuracy: 0.4106188322368421; test accuracy: 0.207 2025-09-25 00:49:22 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:50:17 [INFO] Epoch 6 loss: 514.5478529930115; train accuracy: 0.4758694556451613; test accuracy: 0.3326 2025-09-25 00:50:17 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:51:18 [INFO] Epoch 6 loss: 601.4824819564819; train accuracy: 0.4891021286231884; test accuracy: 0.3537 2025-09-25 00:51:18 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:51:57 [INFO] Epoch 6 loss: 366.73125076293945; train accuracy: 0.5779030539772727; test accuracy: 0.3192 2025-09-25 00:51:57 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:52:40 [INFO] Epoch 6 loss: 392.4600443840027; train accuracy: 0.5415234375; test accuracy: 0.2742 2025-09-25 00:52:40 [INFO] Round 6 Finish--------| 2025-09-25 00:52:40 [INFO] Model variance: mean: 0.001602091477252543, sum: 17901.693359375 2025-09-25 00:52:40 [INFO] g_protos_std: 1.006036639213562 2025-09-25 00:52:45 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.5746 2025-09-25 00:52:45 [INFO] Round 7 starts--------| 2025-09-25 00:52:45 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:53:19 [INFO] Epoch 7 loss: 320.7642922401428; train accuracy: 0.5341282894736842; test accuracy: 0.2718 2025-09-25 00:53:19 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:54:13 [INFO] Epoch 7 loss: 487.88888788223267; train accuracy: 0.5193737399193549; test accuracy: 0.3496 2025-09-25 00:54:13 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:55:16 [INFO] Epoch 7 loss: 595.7048153877258; train accuracy: 0.5851732336956522; test accuracy: 0.4586 2025-09-25 00:55:16 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:55:57 [INFO] Epoch 7 loss: 353.55761909484863; train accuracy: 0.5171786221590909; test accuracy: 0.2737 2025-09-25 00:55:57 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:56:40 [INFO] Epoch 7 loss: 385.8820991516113; train accuracy: 0.6286328125; test accuracy: 0.3199 2025-09-25 00:56:40 [INFO] Round 7 Finish--------| 2025-09-25 00:56:40 [INFO] Model variance: mean: 0.0017260119784623384, sum: 19286.375 2025-09-25 00:56:40 [INFO] g_protos_std: 1.0060638189315796 2025-09-25 00:56:45 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6151 2025-09-25 00:56:45 [INFO] Round 8 starts--------| 2025-09-25 00:56:45 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:57:21 [INFO] Epoch 8 loss: 315.7400097846985; train accuracy: 0.51953125; test accuracy: 0.2639 2025-09-25 00:57:21 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:58:15 [INFO] Epoch 8 loss: 481.06095123291016; train accuracy: 0.6131867439516129; test accuracy: 0.438 2025-09-25 00:58:15 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:59:10 [INFO] Epoch 8 loss: 582.4634504318237; train accuracy: 0.630661231884058; test accuracy: 0.4606 2025-09-25 00:59:10 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:59:47 [INFO] Epoch 8 loss: 351.5832152366638; train accuracy: 0.6993519176136364; test accuracy: 0.3837 2025-09-25 00:59:47 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:00:29 [INFO] Epoch 8 loss: 389.1653575897217; train accuracy: 0.526875; test accuracy: 0.2695 2025-09-25 01:00:29 [INFO] Round 8 Finish--------| 2025-09-25 01:00:29 [INFO] Model variance: mean: 0.0018424999434500933, sum: 20588.005859375 2025-09-25 01:00:29 [INFO] g_protos_std: 1.0060791969299316 2025-09-25 01:00:34 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6198 2025-09-25 01:00:34 [INFO] Round 9 starts--------| 2025-09-25 01:00:34 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:01:05 [INFO] Epoch 9 loss: 312.7684416770935; train accuracy: 0.46371299342105265; test accuracy: 0.255 2025-09-25 01:01:05 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:01:55 [INFO] Epoch 9 loss: 479.4159879684448; train accuracy: 0.6043031754032258; test accuracy: 0.4508 2025-09-25 01:01:55 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:02:53 [INFO] Epoch 9 loss: 571.6137428283691; train accuracy: 0.6228204257246377; test accuracy: 0.4667 2025-09-25 01:02:53 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:03:31 [INFO] Epoch 9 loss: 347.8556351661682; train accuracy: 0.6609552556818182; test accuracy: 0.3526 2025-09-25 01:03:31 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:04:14 [INFO] Epoch 9 loss: 379.51958656311035; train accuracy: 0.71421875; test accuracy: 0.3632 2025-09-25 01:04:14 [INFO] Round 9 Finish--------| 2025-09-25 01:04:14 [INFO] Model variance: mean: 0.0019557580817490816, sum: 21853.546875 2025-09-25 01:04:14 [INFO] g_protos_std: 1.0060981512069702 2025-09-25 01:04:19 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6446 2025-09-25 01:04:19 [INFO] Round 10 starts--------| 2025-09-25 01:04:19 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:04:54 [INFO] Epoch 10 loss: 313.4249391555786; train accuracy: 0.60546875; test accuracy: 0.3287 2025-09-25 01:04:55 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:05:49 [INFO] Epoch 10 loss: 474.96520805358887; train accuracy: 0.640593497983871; test accuracy: 0.5033 2025-09-25 01:05:49 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:06:46 [INFO] Epoch 10 loss: 561.6683549880981; train accuracy: 0.6666666666666666; test accuracy: 0.4897 2025-09-25 01:06:47 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:07:22 [INFO] Epoch 10 loss: 349.6955862045288; train accuracy: 0.6646839488636364; test accuracy: 0.3627 2025-09-25 01:07:22 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:08:05 [INFO] Epoch 10 loss: 371.3285503387451; train accuracy: 0.6314453125; test accuracy: 0.3189 2025-09-25 01:08:06 [INFO] Round 10 Finish--------| 2025-09-25 01:08:06 [INFO] Model variance: mean: 0.0020607805345207453, sum: 23027.0625 2025-09-25 01:08:06 [INFO] g_protos_std: 1.0061094760894775 2025-09-25 01:08:11 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6587 2025-09-25 01:08:11 [INFO] Round 11 starts--------| 2025-09-25 01:08:11 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:08:41 [INFO] Epoch 11 loss: 304.31577253341675; train accuracy: 0.6271073190789473; test accuracy: 0.2885 2025-09-25 01:08:41 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:09:32 [INFO] Epoch 11 loss: 472.1248321533203; train accuracy: 0.6906817036290323; test accuracy: 0.4922 2025-09-25 01:09:32 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:10:29 [INFO] Epoch 11 loss: 557.1397399902344; train accuracy: 0.6261322463768116; test accuracy: 0.4725 2025-09-25 01:10:29 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:11:04 [INFO] Epoch 11 loss: 341.10350704193115; train accuracy: 0.6716530539772727; test accuracy: 0.4074 2025-09-25 01:11:04 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:11:45 [INFO] Epoch 11 loss: 362.9301896095276; train accuracy: 0.6117578125; test accuracy: 0.3188 2025-09-25 01:11:45 [INFO] Round 11 Finish--------| 2025-09-25 01:11:45 [INFO] Model variance: mean: 0.0021630404517054558, sum: 24169.708984375 2025-09-25 01:11:45 [INFO] g_protos_std: 1.006126046180725 2025-09-25 01:11:51 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6728 2025-09-25 01:11:51 [INFO] Round 12 starts--------| 2025-09-25 01:11:51 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:12:25 [INFO] Epoch 12 loss: 302.1256728172302; train accuracy: 0.64453125; test accuracy: 0.3974 2025-09-25 01:12:25 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:13:18 [INFO] Epoch 12 loss: 465.5344891548157; train accuracy: 0.7772807459677419; test accuracy: 0.5747 2025-09-25 01:13:18 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:14:18 [INFO] Epoch 12 loss: 554.3624858856201; train accuracy: 0.6058933423913043; test accuracy: 0.4608 2025-09-25 01:14:18 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:14:53 [INFO] Epoch 12 loss: 336.9589595794678; train accuracy: 0.5691583806818182; test accuracy: 0.365 2025-09-25 01:14:53 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:15:36 [INFO] Epoch 12 loss: 356.7052159309387; train accuracy: 0.746328125; test accuracy: 0.3889 2025-09-25 01:15:36 [INFO] Round 12 Finish--------| 2025-09-25 01:15:36 [INFO] Model variance: mean: 0.0022638370282948017, sum: 25296.005859375 2025-09-25 01:15:36 [INFO] g_protos_std: 1.00614333152771 2025-09-25 01:15:42 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6885 2025-09-25 01:15:42 [INFO] Round 13 starts--------| 2025-09-25 01:15:42 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:16:15 [INFO] Epoch 13 loss: 302.5890197753906; train accuracy: 0.6453536184210527; test accuracy: 0.3783 2025-09-25 01:16:15 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:17:08 [INFO] Epoch 13 loss: 457.418007850647; train accuracy: 0.6751512096774194; test accuracy: 0.5084 2025-09-25 01:17:08 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:18:06 [INFO] Epoch 13 loss: 550.8494391441345; train accuracy: 0.6480978260869565; test accuracy: 0.4943 2025-09-25 01:18:06 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:18:43 [INFO] Epoch 13 loss: 333.8521294593811; train accuracy: 0.7004172585227273; test accuracy: 0.423 2025-09-25 01:18:43 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:19:27 [INFO] Epoch 13 loss: 359.38081645965576; train accuracy: 0.74734375; test accuracy: 0.404 2025-09-25 01:19:27 [INFO] Round 13 Finish--------| 2025-09-25 01:19:27 [INFO] Model variance: mean: 0.00235729874111712, sum: 26340.34375 2025-09-25 01:19:27 [INFO] g_protos_std: 1.0061577558517456 2025-09-25 01:19:32 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6977 2025-09-25 01:19:32 [INFO] Round 14 starts--------| 2025-09-25 01:19:32 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:20:06 [INFO] Epoch 14 loss: 294.31902742385864; train accuracy: 0.6427837171052632; test accuracy: 0.3494 2025-09-25 01:20:06 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:21:01 [INFO] Epoch 14 loss: 454.7907905578613; train accuracy: 0.7173009072580645; test accuracy: 0.5326 2025-09-25 01:21:01 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:21:57 [INFO] Epoch 14 loss: 536.3504447937012; train accuracy: 0.7066066576086957; test accuracy: 0.5307 2025-09-25 01:21:57 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:22:36 [INFO] Epoch 14 loss: 330.84571647644043; train accuracy: 0.748046875; test accuracy: 0.4652 2025-09-25 01:22:36 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:23:20 [INFO] Epoch 14 loss: 356.80759954452515; train accuracy: 0.6879296875; test accuracy: 0.363 2025-09-25 01:23:20 [INFO] Round 14 Finish--------| 2025-09-25 01:23:20 [INFO] Model variance: mean: 0.0024503886234015226, sum: 27380.5234375 2025-09-25 01:23:20 [INFO] g_protos_std: 1.0061726570129395 2025-09-25 01:23:25 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.705 2025-09-25 01:23:25 [INFO] Round 15 starts--------| 2025-09-25 01:23:25 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:23:59 [INFO] Epoch 15 loss: 295.97857093811035; train accuracy: 0.5618318256578947; test accuracy: 0.3315 2025-09-25 01:23:59 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:24:56 [INFO] Epoch 15 loss: 453.4702978134155; train accuracy: 0.6928238407258065; test accuracy: 0.5227 2025-09-25 01:24:57 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:25:54 [INFO] Epoch 15 loss: 538.2007083892822; train accuracy: 0.687698143115942; test accuracy: 0.5289 2025-09-25 01:25:55 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:26:31 [INFO] Epoch 15 loss: 330.65858268737793; train accuracy: 0.7256747159090909; test accuracy: 0.4347 2025-09-25 01:26:31 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:27:13 [INFO] Epoch 15 loss: 349.3971028327942; train accuracy: 0.7171484375; test accuracy: 0.386 2025-09-25 01:27:13 [INFO] Round 15 Finish--------| 2025-09-25 01:27:13 [INFO] Model variance: mean: 0.0025379823055118322, sum: 28359.29296875 2025-09-25 01:27:13 [INFO] g_protos_std: 1.006184697151184 2025-09-25 01:27:18 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7028 2025-09-25 01:27:18 [INFO] Round 16 starts--------| 2025-09-25 01:27:18 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:27:51 [INFO] Epoch 16 loss: 286.4469246864319; train accuracy: 0.6200657894736842; test accuracy: 0.413 2025-09-25 01:27:51 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:28:42 [INFO] Epoch 16 loss: 436.81676864624023; train accuracy: 0.7303742439516129; test accuracy: 0.5633 2025-09-25 01:28:42 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:29:37 [INFO] Epoch 16 loss: 526.1778111457825; train accuracy: 0.7019927536231884; test accuracy: 0.5379 2025-09-25 01:29:37 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:30:17 [INFO] Epoch 16 loss: 331.51504373550415; train accuracy: 0.6779119318181818; test accuracy: 0.442 2025-09-25 01:30:17 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:31:01 [INFO] Epoch 16 loss: 347.8299765586853; train accuracy: 0.684921875; test accuracy: 0.3579 2025-09-25 01:31:01 [INFO] Round 16 Finish--------| 2025-09-25 01:31:01 [INFO] Model variance: mean: 0.0026267808862030506, sum: 29351.5234375 2025-09-25 01:31:01 [INFO] g_protos_std: 1.006205439567566 2025-09-25 01:31:06 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7195 2025-09-25 01:31:06 [INFO] Round 17 starts--------| 2025-09-25 01:31:06 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:31:41 [INFO] Epoch 17 loss: 286.4992651939392; train accuracy: 0.7483552631578947; test accuracy: 0.4405 2025-09-25 01:31:41 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:32:36 [INFO] Epoch 17 loss: 446.2200598716736; train accuracy: 0.6896736391129032; test accuracy: 0.5353 2025-09-25 01:32:36 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:33:32 [INFO] Epoch 17 loss: 531.3701682090759; train accuracy: 0.6787533967391305; test accuracy: 0.5081 2025-09-25 01:33:32 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:34:09 [INFO] Epoch 17 loss: 320.60103368759155; train accuracy: 0.7954545454545454; test accuracy: 0.4919 2025-09-25 01:34:09 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:34:52 [INFO] Epoch 17 loss: 353.858021736145; train accuracy: 0.7871484375; test accuracy: 0.4181 2025-09-25 01:34:52 [INFO] Round 17 Finish--------| 2025-09-25 01:34:52 [INFO] Model variance: mean: 0.002711185486987233, sum: 30294.65625 2025-09-25 01:34:52 [INFO] g_protos_std: 1.0062154531478882 2025-09-25 01:34:57 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7211 2025-09-25 01:34:57 [INFO] Round 18 starts--------| 2025-09-25 01:34:57 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:35:32 [INFO] Epoch 18 loss: 286.0241017341614; train accuracy: 0.6703844572368421; test accuracy: 0.4045 2025-09-25 01:35:32 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:36:26 [INFO] Epoch 18 loss: 443.20826387405396; train accuracy: 0.7007938508064516; test accuracy: 0.5393 2025-09-25 01:36:26 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:37:27 [INFO] Epoch 18 loss: 525.0012807846069; train accuracy: 0.6476732336956522; test accuracy: 0.478 2025-09-25 01:37:27 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:38:05 [INFO] Epoch 18 loss: 325.64099502563477; train accuracy: 0.6822620738636364; test accuracy: 0.4247 2025-09-25 01:38:05 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:38:50 [INFO] Epoch 18 loss: 344.09118604660034; train accuracy: 0.6583203125; test accuracy: 0.3522 2025-09-25 01:38:50 [INFO] Round 18 Finish--------| 2025-09-25 01:38:50 [INFO] Model variance: mean: 0.0027942040469497442, sum: 31222.302734375 2025-09-25 01:38:50 [INFO] g_protos_std: 1.006230354309082 2025-09-25 01:38:55 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7194 2025-09-25 01:38:55 [INFO] Round 19 starts--------| 2025-09-25 01:38:55 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:39:29 [INFO] Epoch 19 loss: 284.22191190719604; train accuracy: 0.724609375; test accuracy: 0.4526 2025-09-25 01:39:29 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:40:24 [INFO] Epoch 19 loss: 442.76066493988037; train accuracy: 0.736328125; test accuracy: 0.5662 2025-09-25 01:40:24 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:41:25 [INFO] Epoch 19 loss: 512.3847198486328; train accuracy: 0.6920572916666666; test accuracy: 0.5215 2025-09-25 01:41:25 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:42:05 [INFO] Epoch 19 loss: 322.1314072608948; train accuracy: 0.6671697443181818; test accuracy: 0.4361 2025-09-25 01:42:05 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:42:51 [INFO] Epoch 19 loss: 344.9763813018799; train accuracy: 0.7855859375; test accuracy: 0.4379 2025-09-25 01:42:51 [INFO] Round 19 Finish--------| 2025-09-25 01:42:51 [INFO] Model variance: mean: 0.0028754074592143297, sum: 32129.6640625 2025-09-25 01:42:51 [INFO] g_protos_std: 1.0062464475631714 2025-09-25 01:42:57 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7389 2025-09-25 01:42:57 [INFO] Round 20 starts--------| 2025-09-25 01:42:57 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:43:32 [INFO] Epoch 20 loss: 287.9446620941162; train accuracy: 0.7636204769736842; test accuracy: 0.4791 2025-09-25 01:43:32 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:44:28 [INFO] Epoch 20 loss: 432.3150682449341; train accuracy: 0.7645539314516129; test accuracy: 0.5482 2025-09-25 01:44:28 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:45:27 [INFO] Epoch 20 loss: 511.37461614608765; train accuracy: 0.7486696105072463; test accuracy: 0.5671 2025-09-25 01:45:27 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:46:09 [INFO] Epoch 20 loss: 320.3373212814331; train accuracy: 0.7976740056818182; test accuracy: 0.4925 2025-09-25 01:46:09 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:46:54 [INFO] Epoch 20 loss: 346.42678928375244; train accuracy: 0.8146875; test accuracy: 0.4595 2025-09-25 01:46:55 [INFO] Round 20 Finish--------| 2025-09-25 01:46:55 [INFO] Model variance: mean: 0.002953731920570135, sum: 33004.859375 2025-09-25 01:46:55 [INFO] g_protos_std: 1.0062581300735474 2025-09-25 01:47:00 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.743 2025-09-25 01:47:00 [INFO] Round 21 starts--------| 2025-09-25 01:47:00 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:47:34 [INFO] Epoch 21 loss: 284.7655816078186; train accuracy: 0.7417763157894737; test accuracy: 0.4883 2025-09-25 01:47:34 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:48:28 [INFO] Epoch 21 loss: 430.12430238723755; train accuracy: 0.7742250504032258; test accuracy: 0.5849 2025-09-25 01:48:28 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:49:30 [INFO] Epoch 21 loss: 516.7018003463745; train accuracy: 0.6244904891304348; test accuracy: 0.4784 2025-09-25 01:49:30 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:50:11 [INFO] Epoch 21 loss: 318.14143466949463; train accuracy: 0.7525301846590909; test accuracy: 0.4639 2025-09-25 01:50:11 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:50:57 [INFO] Epoch 21 loss: 345.5632348060608; train accuracy: 0.8212890625; test accuracy: 0.4498 2025-09-25 01:50:57 [INFO] Round 21 Finish--------| 2025-09-25 01:50:57 [INFO] Model variance: mean: 0.0030323495157063007, sum: 33883.328125 2025-09-25 01:50:57 [INFO] g_protos_std: 1.0062755346298218 2025-09-25 01:51:02 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7435 2025-09-25 01:51:02 [INFO] Round 22 starts--------| 2025-09-25 01:51:02 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:51:37 [INFO] Epoch 22 loss: 276.18278455734253; train accuracy: 0.7605365953947368; test accuracy: 0.4087 2025-09-25 01:51:37 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:52:33 [INFO] Epoch 22 loss: 427.69894647598267; train accuracy: 0.6696383568548387; test accuracy: 0.5056 2025-09-25 01:52:33 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:53:31 [INFO] Epoch 22 loss: 507.8931622505188; train accuracy: 0.7193161231884058; test accuracy: 0.5372 2025-09-25 01:53:31 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:54:09 [INFO] Epoch 22 loss: 313.4562249183655; train accuracy: 0.6802201704545454; test accuracy: 0.4199 2025-09-25 01:54:09 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:54:52 [INFO] Epoch 22 loss: 342.10693359375; train accuracy: 0.828984375; test accuracy: 0.4774 2025-09-25 01:54:52 [INFO] Round 22 Finish--------| 2025-09-25 01:54:52 [INFO] Model variance: mean: 0.003109570126980543, sum: 34746.1875 2025-09-25 01:54:52 [INFO] g_protos_std: 1.0062928199768066 2025-09-25 01:54:57 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7539 2025-09-25 01:54:57 [INFO] Round 23 starts--------| 2025-09-25 01:54:57 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:55:27 [INFO] Epoch 23 loss: 280.8446578979492; train accuracy: 0.7578638980263158; test accuracy: 0.4885 2025-09-25 01:55:27 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:56:19 [INFO] Epoch 23 loss: 439.4116177558899; train accuracy: 0.7719254032258065; test accuracy: 0.6025 2025-09-25 01:56:19 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:57:18 [INFO] Epoch 23 loss: 510.2840299606323; train accuracy: 0.7344033061594203; test accuracy: 0.5763 2025-09-25 01:57:18 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:57:56 [INFO] Epoch 23 loss: 310.750590801239; train accuracy: 0.6598455255681818; test accuracy: 0.4331 2025-09-25 01:57:56 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:58:39 [INFO] Epoch 23 loss: 342.78380489349365; train accuracy: 0.8307421875; test accuracy: 0.479 2025-09-25 01:58:39 [INFO] Round 23 Finish--------| 2025-09-25 01:58:39 [INFO] Model variance: mean: 0.0031832479871809483, sum: 35569.4609375 2025-09-25 01:58:39 [INFO] g_protos_std: 1.006300449371338 2025-09-25 01:58:44 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7634 2025-09-25 01:58:44 [INFO] Round 24 starts--------| 2025-09-25 01:58:44 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:59:17 [INFO] Epoch 24 loss: 280.55569410324097; train accuracy: 0.7598684210526315; test accuracy: 0.5128 2025-09-25 01:59:17 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:00:10 [INFO] Epoch 24 loss: 419.9945673942566; train accuracy: 0.7983555947580645; test accuracy: 0.6071 2025-09-25 02:00:10 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:01:11 [INFO] Epoch 24 loss: 507.9458198547363; train accuracy: 0.703323143115942; test accuracy: 0.5341 2025-09-25 02:01:11 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:01:48 [INFO] Epoch 24 loss: 315.2853960990906; train accuracy: 0.7935901988636364; test accuracy: 0.5161 2025-09-25 02:01:48 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:02:31 [INFO] Epoch 24 loss: 327.0260090827942; train accuracy: 0.7165625; test accuracy: 0.3918 2025-09-25 02:02:31 [INFO] Round 24 Finish--------| 2025-09-25 02:02:31 [INFO] Model variance: mean: 0.003257190342992544, sum: 36395.6875 2025-09-25 02:02:31 [INFO] g_protos_std: 1.006320595741272 2025-09-25 02:02:36 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7747 2025-09-25 02:02:36 [INFO] Round 25 starts--------| 2025-09-25 02:02:36 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:03:08 [INFO] Epoch 25 loss: 274.13674116134644; train accuracy: 0.7178248355263158; test accuracy: 0.431 2025-09-25 02:03:08 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:03:58 [INFO] Epoch 25 loss: 424.52235889434814; train accuracy: 0.7954259072580645; test accuracy: 0.5827 2025-09-25 02:03:59 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:04:57 [INFO] Epoch 25 loss: 500.69766187667847; train accuracy: 0.7570765398550725; test accuracy: 0.5786 2025-09-25 02:04:57 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:05:35 [INFO] Epoch 25 loss: 304.06661558151245; train accuracy: 0.8017578125; test accuracy: 0.5379 2025-09-25 02:05:36 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:06:17 [INFO] Epoch 25 loss: 339.08918809890747; train accuracy: 0.84109375; test accuracy: 0.4594 2025-09-25 02:06:17 [INFO] Round 25 Finish--------| 2025-09-25 02:06:17 [INFO] Model variance: mean: 0.0033294998575001955, sum: 37203.671875 2025-09-25 02:06:17 [INFO] g_protos_std: 1.006332516670227 2025-09-25 02:06:23 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7658 2025-09-25 02:06:23 [INFO] Round 26 starts--------| 2025-09-25 02:06:23 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:06:56 [INFO] Epoch 26 loss: 273.7617197036743; train accuracy: 0.6871402138157895; test accuracy: 0.436 2025-09-25 02:06:56 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:07:50 [INFO] Epoch 26 loss: 421.37549352645874; train accuracy: 0.8048765120967742; test accuracy: 0.587 2025-09-25 02:07:50 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:08:45 [INFO] Epoch 26 loss: 494.44710540771484; train accuracy: 0.7688519021739131; test accuracy: 0.56 2025-09-25 02:08:45 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:09:20 [INFO] Epoch 26 loss: 306.39043521881104; train accuracy: 0.8636363636363636; test accuracy: 0.5688 2025-09-25 02:09:20 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:09:59 [INFO] Epoch 26 loss: 334.2295551300049; train accuracy: 0.8573828125; test accuracy: 0.4825 2025-09-25 02:09:59 [INFO] Round 26 Finish--------| 2025-09-25 02:09:59 [INFO] Model variance: mean: 0.0034000868909060955, sum: 37992.40625 2025-09-25 02:09:59 [INFO] g_protos_std: 1.0063490867614746 2025-09-25 02:10:04 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7704 2025-09-25 02:10:04 [INFO] Round 27 starts--------| 2025-09-25 02:10:04 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:10:39 [INFO] Epoch 27 loss: 272.34407806396484; train accuracy: 0.783203125; test accuracy: 0.4218 2025-09-25 02:10:39 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:11:32 [INFO] Epoch 27 loss: 421.76975107192993; train accuracy: 0.6882560483870968; test accuracy: 0.513 2025-09-25 02:11:32 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:12:27 [INFO] Epoch 27 loss: 496.7139186859131; train accuracy: 0.6842447916666666; test accuracy: 0.5046 2025-09-25 02:12:27 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:13:04 [INFO] Epoch 27 loss: 302.94530630111694; train accuracy: 0.8492542613636364; test accuracy: 0.5786 2025-09-25 02:13:04 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:13:46 [INFO] Epoch 27 loss: 332.599187374115; train accuracy: 0.8436328125; test accuracy: 0.4728 2025-09-25 02:13:46 [INFO] Round 27 Finish--------| 2025-09-25 02:13:46 [INFO] Model variance: mean: 0.0034699244424700737, sum: 38772.76953125 2025-09-25 02:13:46 [INFO] g_protos_std: 1.0063663721084595 2025-09-25 02:13:51 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7853 2025-09-25 02:13:51 [INFO] Round 28 starts--------| 2025-09-25 02:13:51 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:14:24 [INFO] Epoch 28 loss: 275.80969285964966; train accuracy: 0.7885999177631579; test accuracy: 0.4723 2025-09-25 02:14:24 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:15:15 [INFO] Epoch 28 loss: 421.3425769805908; train accuracy: 0.7808404737903226; test accuracy: 0.5764 2025-09-25 02:15:15 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:16:12 [INFO] Epoch 28 loss: 490.47610235214233; train accuracy: 0.6908684329710145; test accuracy: 0.5208 2025-09-25 02:16:12 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:16:52 [INFO] Epoch 28 loss: 307.04767990112305; train accuracy: 0.7881747159090909; test accuracy: 0.4944 2025-09-25 02:16:52 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:17:35 [INFO] Epoch 28 loss: 330.10259675979614; train accuracy: 0.8545703125; test accuracy: 0.5098 2025-09-25 02:17:35 [INFO] Round 28 Finish--------| 2025-09-25 02:17:35 [INFO] Model variance: mean: 0.003537496319040656, sum: 39527.8125 2025-09-25 02:17:35 [INFO] g_protos_std: 1.0063793659210205 2025-09-25 02:17:41 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7799 2025-09-25 02:17:41 [INFO] Round 29 starts--------| 2025-09-25 02:17:41 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:18:15 [INFO] Epoch 29 loss: 268.5120792388916; train accuracy: 0.6840563322368421; test accuracy: 0.4094 2025-09-25 02:18:15 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:19:09 [INFO] Epoch 29 loss: 411.43962144851685; train accuracy: 0.7990486391129032; test accuracy: 0.5933 2025-09-25 02:19:09 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:20:11 [INFO] Epoch 29 loss: 491.9096088409424; train accuracy: 0.7935065670289855; test accuracy: 0.5944 2025-09-25 02:20:11 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:20:51 [INFO] Epoch 29 loss: 303.1738758087158; train accuracy: 0.8020685369318182; test accuracy: 0.5902 2025-09-25 02:20:51 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:21:34 [INFO] Epoch 29 loss: 328.7763876914978; train accuracy: 0.8801953125; test accuracy: 0.5148 2025-09-25 02:21:34 [INFO] Round 29 Finish--------| 2025-09-25 02:21:34 [INFO] Model variance: mean: 0.003605690086260438, sum: 40289.80859375 2025-09-25 02:21:34 [INFO] g_protos_std: 1.0063974857330322 2025-09-25 02:21:39 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7935 2025-09-25 02:21:39 [INFO] Round 30 starts--------| 2025-09-25 02:21:39 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:22:11 [INFO] Epoch 30 loss: 268.36097240448; train accuracy: 0.7759560032894737; test accuracy: 0.5313 2025-09-25 02:22:12 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:23:05 [INFO] Epoch 30 loss: 415.84722995758057; train accuracy: 0.7422820060483871; test accuracy: 0.5751 2025-09-25 02:23:05 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:24:04 [INFO] Epoch 30 loss: 487.50058460235596; train accuracy: 0.7540760869565217; test accuracy: 0.5545 2025-09-25 02:24:05 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:24:46 [INFO] Epoch 30 loss: 302.58369874954224; train accuracy: 0.7845348011363636; test accuracy: 0.5547 2025-09-25 02:24:47 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:25:31 [INFO] Epoch 30 loss: 330.9491124153137; train accuracy: 0.8282421875; test accuracy: 0.4753 2025-09-25 02:25:32 [INFO] Round 30 Finish--------| 2025-09-25 02:25:32 [INFO] Model variance: mean: 0.0036723956000059843, sum: 41035.171875 2025-09-25 02:25:32 [INFO] g_protos_std: 1.0064133405685425 2025-09-25 02:25:37 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7967 2025-09-25 02:25:37 [INFO] Round 31 starts--------| 2025-09-25 02:25:37 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:26:09 [INFO] Epoch 31 loss: 271.845805644989; train accuracy: 0.8213404605263158; test accuracy: 0.5069 2025-09-25 02:26:09 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:27:00 [INFO] Epoch 31 loss: 403.78638458251953; train accuracy: 0.7701927923387096; test accuracy: 0.5768 2025-09-25 02:27:00 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:27:58 [INFO] Epoch 31 loss: 491.6852321624756; train accuracy: 0.7667006340579711; test accuracy: 0.5578 2025-09-25 02:27:58 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:28:36 [INFO] Epoch 31 loss: 298.1398048400879; train accuracy: 0.8523615056818182; test accuracy: 0.564 2025-09-25 02:28:36 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:29:19 [INFO] Epoch 31 loss: 324.47250986099243; train accuracy: 0.8230859375; test accuracy: 0.4737 2025-09-25 02:29:19 [INFO] Round 31 Finish--------| 2025-09-25 02:29:19 [INFO] Model variance: mean: 0.003737655933946371, sum: 41764.38671875 2025-09-25 02:29:19 [INFO] g_protos_std: 1.0064274072647095 2025-09-25 02:29:25 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7951 2025-09-25 02:29:25 [INFO] Round 32 starts--------| 2025-09-25 02:29:25 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:29:58 [INFO] Epoch 32 loss: 260.26601123809814; train accuracy: 0.8280222039473685; test accuracy: 0.5358 2025-09-25 02:29:58 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:30:52 [INFO] Epoch 32 loss: 407.3527913093567; train accuracy: 0.7919921875; test accuracy: 0.5902 2025-09-25 02:30:52 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:31:50 [INFO] Epoch 32 loss: 485.08909606933594; train accuracy: 0.7152966485507246; test accuracy: 0.54 2025-09-25 02:31:50 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:32:28 [INFO] Epoch 32 loss: 295.61887216567993; train accuracy: 0.8735795454545454; test accuracy: 0.5629 2025-09-25 02:32:28 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:33:10 [INFO] Epoch 32 loss: 325.9978857040405; train accuracy: 0.8958203125; test accuracy: 0.5389 2025-09-25 02:33:10 [INFO] Round 32 Finish--------| 2025-09-25 02:33:10 [INFO] Model variance: mean: 0.0038027381524443626, sum: 42491.61328125 2025-09-25 02:33:10 [INFO] g_protos_std: 1.0064465999603271 2025-09-25 02:33:17 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7945 2025-09-25 02:33:17 [INFO] Round 33 starts--------| 2025-09-25 02:33:17 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:33:51 [INFO] Epoch 33 loss: 271.57817459106445; train accuracy: 0.6937191611842105; test accuracy: 0.4753 2025-09-25 02:33:51 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:34:44 [INFO] Epoch 33 loss: 404.12651777267456; train accuracy: 0.8326297883064516; test accuracy: 0.6203 2025-09-25 02:34:44 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:35:42 [INFO] Epoch 33 loss: 475.5237317085266; train accuracy: 0.7603317481884058; test accuracy: 0.5709 2025-09-25 02:35:42 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:36:20 [INFO] Epoch 33 loss: 298.73111629486084; train accuracy: 0.84912109375; test accuracy: 0.607 2025-09-25 02:36:20 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:37:05 [INFO] Epoch 33 loss: 323.1784782409668; train accuracy: 0.885703125; test accuracy: 0.4974 2025-09-25 02:37:05 [INFO] Round 33 Finish--------| 2025-09-25 02:37:05 [INFO] Model variance: mean: 0.0038647493347525597, sum: 43184.5234375 2025-09-25 02:37:05 [INFO] g_protos_std: 1.0064592361450195 2025-09-25 02:37:10 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7994 2025-09-25 02:37:10 [INFO] Round 34 starts--------| 2025-09-25 02:37:10 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:37:44 [INFO] Epoch 34 loss: 266.632625579834; train accuracy: 0.7411595394736842; test accuracy: 0.4255 2025-09-25 02:37:44 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:38:39 [INFO] Epoch 34 loss: 402.39869451522827; train accuracy: 0.7736895161290323; test accuracy: 0.5949 2025-09-25 02:38:39 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:39:39 [INFO] Epoch 34 loss: 475.99584913253784; train accuracy: 0.7807971014492754; test accuracy: 0.5548 2025-09-25 02:39:39 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:40:20 [INFO] Epoch 34 loss: 295.9724917411804; train accuracy: 0.8792613636363636; test accuracy: 0.6016 2025-09-25 02:40:20 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:41:05 [INFO] Epoch 34 loss: 321.7872562408447; train accuracy: 0.8558203125; test accuracy: 0.4902 2025-09-25 02:41:05 [INFO] Round 34 Finish--------| 2025-09-25 02:41:05 [INFO] Model variance: mean: 0.00392736354842782, sum: 43884.171875 2025-09-25 02:41:05 [INFO] g_protos_std: 1.0064780712127686 2025-09-25 02:41:11 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8032 2025-09-25 02:41:11 [INFO] Round 35 starts--------| 2025-09-25 02:41:11 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:41:44 [INFO] Epoch 35 loss: 264.5502667427063; train accuracy: 0.8163548519736842; test accuracy: 0.5119 2025-09-25 02:41:45 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:42:38 [INFO] Epoch 35 loss: 410.6453037261963; train accuracy: 0.8124054939516129; test accuracy: 0.6055 2025-09-25 02:42:39 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:43:41 [INFO] Epoch 35 loss: 470.2994565963745; train accuracy: 0.7621999547101449; test accuracy: 0.5908 2025-09-25 02:43:42 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:44:21 [INFO] Epoch 35 loss: 294.97376918792725; train accuracy: 0.8366477272727273; test accuracy: 0.5778 2025-09-25 02:44:22 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:45:08 [INFO] Epoch 35 loss: 326.1267328262329; train accuracy: 0.88625; test accuracy: 0.5096 2025-09-25 02:45:09 [INFO] Round 35 Finish--------| 2025-09-25 02:45:09 [INFO] Model variance: mean: 0.003989506047219038, sum: 44578.546875 2025-09-25 02:45:09 [INFO] g_protos_std: 1.0064942836761475 2025-09-25 02:45:14 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8035 2025-09-25 02:45:14 [INFO] Round 36 starts--------| 2025-09-25 02:45:14 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:45:51 [INFO] Epoch 36 loss: 264.48744201660156; train accuracy: 0.7196237664473685; test accuracy: 0.4302 2025-09-25 02:45:51 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:46:47 [INFO] Epoch 36 loss: 399.8241515159607; train accuracy: 0.8280304939516129; test accuracy: 0.6035 2025-09-25 02:46:47 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:47:51 [INFO] Epoch 36 loss: 471.656286239624; train accuracy: 0.822265625; test accuracy: 0.6163 2025-09-25 02:47:51 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:48:31 [INFO] Epoch 36 loss: 301.28441286087036; train accuracy: 0.8781516335227273; test accuracy: 0.5974 2025-09-25 02:48:31 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:49:16 [INFO] Epoch 36 loss: 323.01375818252563; train accuracy: 0.8513671875; test accuracy: 0.486 2025-09-25 02:49:16 [INFO] Round 36 Finish--------| 2025-09-25 02:49:16 [INFO] Model variance: mean: 0.004049810580909252, sum: 45252.390625 2025-09-25 02:49:16 [INFO] g_protos_std: 1.0065066814422607 2025-09-25 02:49:21 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8056 2025-09-25 02:49:21 [INFO] Round 37 starts--------| 2025-09-25 02:49:21 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:49:56 [INFO] Epoch 37 loss: 267.8113956451416; train accuracy: 0.8070004111842105; test accuracy: 0.4972 2025-09-25 02:49:56 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:50:51 [INFO] Epoch 37 loss: 403.7459921836853; train accuracy: 0.8012852822580645; test accuracy: 0.608 2025-09-25 02:50:51 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:51:52 [INFO] Epoch 37 loss: 464.0339527130127; train accuracy: 0.7879585597826086; test accuracy: 0.5773 2025-09-25 02:51:52 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:52:33 [INFO] Epoch 37 loss: 299.2644305229187; train accuracy: 0.7772549715909091; test accuracy: 0.5467 2025-09-25 02:52:33 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:53:18 [INFO] Epoch 37 loss: 319.6654591560364; train accuracy: 0.8295703125; test accuracy: 0.4834 2025-09-25 02:53:18 [INFO] Round 37 Finish--------| 2025-09-25 02:53:18 [INFO] Model variance: mean: 0.004109685774892569, sum: 45921.4296875 2025-09-25 02:53:18 [INFO] g_protos_std: 1.006520390510559 2025-09-25 02:53:23 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8121 2025-09-25 02:53:23 [INFO] Round 38 starts--------| 2025-09-25 02:53:23 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:53:59 [INFO] Epoch 38 loss: 260.0002360343933; train accuracy: 0.7599712171052632; test accuracy: 0.4732 2025-09-25 02:53:59 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:54:52 [INFO] Epoch 38 loss: 403.47300148010254; train accuracy: 0.8323147681451613; test accuracy: 0.6323 2025-09-25 02:54:52 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:55:53 [INFO] Epoch 38 loss: 467.66674613952637; train accuracy: 0.7812783061594203; test accuracy: 0.5932 2025-09-25 02:55:53 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:56:31 [INFO] Epoch 38 loss: 297.66828966140747; train accuracy: 0.8784623579545454; test accuracy: 0.5992 2025-09-25 02:56:31 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:57:13 [INFO] Epoch 38 loss: 326.76223373413086; train accuracy: 0.86453125; test accuracy: 0.4997 2025-09-25 02:57:13 [INFO] Round 38 Finish--------| 2025-09-25 02:57:13 [INFO] Model variance: mean: 0.004167552571743727, sum: 46568.03125 2025-09-25 02:57:13 [INFO] g_protos_std: 1.0065265893936157 2025-09-25 02:57:18 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8161 2025-09-25 02:57:18 [INFO] Round 39 starts--------| 2025-09-25 02:57:18 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:57:53 [INFO] Epoch 39 loss: 255.5769019126892; train accuracy: 0.8182565789473685; test accuracy: 0.5059 2025-09-25 02:57:53 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:58:44 [INFO] Epoch 39 loss: 402.65096282958984; train accuracy: 0.8250693044354839; test accuracy: 0.6339 2025-09-25 02:58:44 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:59:43 [INFO] Epoch 39 loss: 470.7707061767578; train accuracy: 0.8543931159420289; test accuracy: 0.6221 2025-09-25 02:59:43 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:00:21 [INFO] Epoch 39 loss: 290.96325492858887; train accuracy: 0.8611061789772727; test accuracy: 0.5927 2025-09-25 03:00:21 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:01:05 [INFO] Epoch 39 loss: 326.9330644607544; train accuracy: 0.8133203125; test accuracy: 0.4851 2025-09-25 03:01:05 [INFO] Round 39 Finish--------| 2025-09-25 03:01:05 [INFO] Model variance: mean: 0.00422552227973938, sum: 47215.78125 2025-09-25 03:01:05 [INFO] g_protos_std: 1.0065430402755737 2025-09-25 03:01:11 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8168 2025-09-25 03:01:11 [INFO] Round 40 starts--------| 2025-09-25 03:01:11 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:01:42 [INFO] Epoch 40 loss: 258.66233825683594; train accuracy: 0.848375822368421; test accuracy: 0.5354 2025-09-25 03:01:43 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:02:35 [INFO] Epoch 40 loss: 400.1075162887573; train accuracy: 0.8273059475806451; test accuracy: 0.6033 2025-09-25 03:02:36 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:03:34 [INFO] Epoch 40 loss: 460.0547351837158; train accuracy: 0.7974977355072463; test accuracy: 0.5973 2025-09-25 03:03:34 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:04:13 [INFO] Epoch 40 loss: 292.5828719139099; train accuracy: 0.8797052556818182; test accuracy: 0.5959 2025-09-25 03:04:14 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:04:57 [INFO] Epoch 40 loss: 320.72093534469604; train accuracy: 0.8861328125; test accuracy: 0.508 2025-09-25 03:04:57 [INFO] Round 40 Finish--------| 2025-09-25 03:04:57 [INFO] Model variance: mean: 0.00428371224552393, sum: 47865.99609375 2025-09-25 03:04:57 [INFO] g_protos_std: 1.006563663482666 2025-09-25 03:05:02 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8192 2025-09-25 03:05:02 [INFO] Round 41 starts--------| 2025-09-25 03:05:02 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:05:36 [INFO] Epoch 41 loss: 254.94663333892822; train accuracy: 0.8531558388157895; test accuracy: 0.5719 2025-09-25 03:05:36 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:06:27 [INFO] Epoch 41 loss: 402.3992748260498; train accuracy: 0.8411668346774194; test accuracy: 0.606 2025-09-25 03:06:27 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:07:23 [INFO] Epoch 41 loss: 464.29708337783813; train accuracy: 0.7914968297101449; test accuracy: 0.5831 2025-09-25 03:07:23 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:08:02 [INFO] Epoch 41 loss: 292.9053268432617; train accuracy: 0.8583096590909091; test accuracy: 0.5937 2025-09-25 03:08:02 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:08:44 [INFO] Epoch 41 loss: 319.8187108039856; train accuracy: 0.88203125; test accuracy: 0.5081 2025-09-25 03:08:44 [INFO] Round 41 Finish--------| 2025-09-25 03:08:44 [INFO] Model variance: mean: 0.004339941311627626, sum: 48494.296875 2025-09-25 03:08:44 [INFO] g_protos_std: 1.0065721273422241 2025-09-25 03:08:49 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8295 2025-09-25 03:08:49 [INFO] Round 42 starts--------| 2025-09-25 03:08:49 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:09:23 [INFO] Epoch 42 loss: 264.7609848976135; train accuracy: 0.8314658717105263; test accuracy: 0.5331 2025-09-25 03:09:23 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:10:16 [INFO] Epoch 42 loss: 395.7381057739258; train accuracy: 0.8667149697580645; test accuracy: 0.6346 2025-09-25 03:10:16 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:11:13 [INFO] Epoch 42 loss: 467.13843297958374; train accuracy: 0.8355978260869565; test accuracy: 0.6099 2025-09-25 03:11:13 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:11:50 [INFO] Epoch 42 loss: 289.2048478126526; train accuracy: 0.8854758522727273; test accuracy: 0.5864 2025-09-25 03:11:50 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:12:30 [INFO] Epoch 42 loss: 316.95799016952515; train accuracy: 0.750234375; test accuracy: 0.4366 2025-09-25 03:12:30 [INFO] Round 42 Finish--------| 2025-09-25 03:12:30 [INFO] Model variance: mean: 0.004395676776766777, sum: 49117.08203125 2025-09-25 03:12:30 [INFO] g_protos_std: 1.0065841674804688 2025-09-25 03:12:35 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8222 2025-09-25 03:12:35 [INFO] Round 43 starts--------| 2025-09-25 03:12:35 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:13:09 [INFO] Epoch 43 loss: 263.44644689559937; train accuracy: 0.8715563322368421; test accuracy: 0.5627 2025-09-25 03:13:09 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:14:03 [INFO] Epoch 43 loss: 395.44875288009644; train accuracy: 0.7990486391129032; test accuracy: 0.5697 2025-09-25 03:14:03 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:15:00 [INFO] Epoch 43 loss: 461.05498790740967; train accuracy: 0.8197746829710145; test accuracy: 0.6038 2025-09-25 03:15:00 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:15:37 [INFO] Epoch 43 loss: 285.22992181777954; train accuracy: 0.8355823863636364; test accuracy: 0.5901 2025-09-25 03:15:37 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:16:21 [INFO] Epoch 43 loss: 319.9507703781128; train accuracy: 0.8919921875; test accuracy: 0.5215 2025-09-25 03:16:21 [INFO] Round 43 Finish--------| 2025-09-25 03:16:21 [INFO] Model variance: mean: 0.004452564753592014, sum: 49752.7421875 2025-09-25 03:16:21 [INFO] g_protos_std: 1.00660240650177 2025-09-25 03:16:26 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8266 2025-09-25 03:16:26 [INFO] Round 44 starts--------| 2025-09-25 03:16:26 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:16:58 [INFO] Epoch 44 loss: 257.8006248474121; train accuracy: 0.8784436677631579; test accuracy: 0.5562 2025-09-25 03:16:58 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:17:52 [INFO] Epoch 44 loss: 395.35091495513916; train accuracy: 0.8280619959677419; test accuracy: 0.6152 2025-09-25 03:17:52 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:18:51 [INFO] Epoch 44 loss: 457.1752099990845; train accuracy: 0.7932801177536232; test accuracy: 0.5809 2025-09-25 03:18:51 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:19:30 [INFO] Epoch 44 loss: 287.67939376831055; train accuracy: 0.8474343039772727; test accuracy: 0.5326 2025-09-25 03:19:30 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:20:12 [INFO] Epoch 44 loss: 316.0914115905762; train accuracy: 0.911484375; test accuracy: 0.5076 2025-09-25 03:20:12 [INFO] Round 44 Finish--------| 2025-09-25 03:20:12 [INFO] Model variance: mean: 0.0045079998672008514, sum: 50372.171875 2025-09-25 03:20:12 [INFO] g_protos_std: 1.0066174268722534 2025-09-25 03:20:17 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.827 2025-09-25 03:20:17 [INFO] Round 45 starts--------| 2025-09-25 03:20:17 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:20:50 [INFO] Epoch 45 loss: 260.79545307159424; train accuracy: 0.8576274671052632; test accuracy: 0.5686 2025-09-25 03:20:51 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:21:43 [INFO] Epoch 45 loss: 398.17819833755493; train accuracy: 0.8497983870967742; test accuracy: 0.6123 2025-09-25 03:21:44 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:22:42 [INFO] Epoch 45 loss: 449.5234398841858; train accuracy: 0.8417685688405797; test accuracy: 0.6117 2025-09-25 03:22:43 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:23:20 [INFO] Epoch 45 loss: 293.226683139801; train accuracy: 0.8799715909090909; test accuracy: 0.6022 2025-09-25 03:23:20 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:24:03 [INFO] Epoch 45 loss: 315.704523563385; train accuracy: 0.901953125; test accuracy: 0.508 2025-09-25 03:24:04 [INFO] Round 45 Finish--------| 2025-09-25 03:24:04 [INFO] Model variance: mean: 0.0045613860711455345, sum: 50968.7109375 2025-09-25 03:24:04 [INFO] g_protos_std: 1.0066289901733398 2025-09-25 03:24:09 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8286 2025-09-25 03:24:09 [INFO] Round 46 starts--------| 2025-09-25 03:24:09 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:24:43 [INFO] Epoch 46 loss: 252.23733854293823; train accuracy: 0.8497121710526315; test accuracy: 0.5357 2025-09-25 03:24:43 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:25:36 [INFO] Epoch 46 loss: 399.166805267334; train accuracy: 0.8394657258064516; test accuracy: 0.6379 2025-09-25 03:25:36 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:26:31 [INFO] Epoch 46 loss: 458.41770792007446; train accuracy: 0.853911911231884; test accuracy: 0.6118 2025-09-25 03:26:31 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:27:10 [INFO] Epoch 46 loss: 288.72957134246826; train accuracy: 0.8811257102272727; test accuracy: 0.6356 2025-09-25 03:27:10 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:27:54 [INFO] Epoch 46 loss: 313.91790533065796; train accuracy: 0.9191796875; test accuracy: 0.5334 2025-09-25 03:27:54 [INFO] Round 46 Finish--------| 2025-09-25 03:27:54 [INFO] Model variance: mean: 0.004616024903953075, sum: 51579.23828125 2025-09-25 03:27:54 [INFO] g_protos_std: 1.0066463947296143 2025-09-25 03:27:59 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8333 2025-09-25 03:27:59 [INFO] Round 47 starts--------| 2025-09-25 03:27:59 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:28:33 [INFO] Epoch 47 loss: 251.23106861114502; train accuracy: 0.856702302631579; test accuracy: 0.5619 2025-09-25 03:28:33 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:29:26 [INFO] Epoch 47 loss: 386.7567210197449; train accuracy: 0.8568548387096774; test accuracy: 0.6232 2025-09-25 03:29:26 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:30:26 [INFO] Epoch 47 loss: 458.8173089027405; train accuracy: 0.8330502717391305; test accuracy: 0.6176 2025-09-25 03:30:26 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:31:04 [INFO] Epoch 47 loss: 285.21084117889404; train accuracy: 0.8330522017045454; test accuracy: 0.62 2025-09-25 03:31:04 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:31:49 [INFO] Epoch 47 loss: 319.73342180252075; train accuracy: 0.910625; test accuracy: 0.5286 2025-09-25 03:31:49 [INFO] Round 47 Finish--------| 2025-09-25 03:31:49 [INFO] Model variance: mean: 0.004669994581490755, sum: 52182.296875 2025-09-25 03:31:49 [INFO] g_protos_std: 1.0066694021224976 2025-09-25 03:31:54 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8331 2025-09-25 03:31:54 [INFO] Round 48 starts--------| 2025-09-25 03:31:54 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:32:28 [INFO] Epoch 48 loss: 253.0659670829773; train accuracy: 0.8628700657894737; test accuracy: 0.5391 2025-09-25 03:32:28 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:33:21 [INFO] Epoch 48 loss: 398.7592873573303; train accuracy: 0.7536857358870968; test accuracy: 0.5761 2025-09-25 03:33:22 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:34:21 [INFO] Epoch 48 loss: 456.07626390457153; train accuracy: 0.8406363224637681; test accuracy: 0.6076 2025-09-25 03:34:21 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:35:00 [INFO] Epoch 48 loss: 285.0313892364502; train accuracy: 0.9029208096590909; test accuracy: 0.599 2025-09-25 03:35:00 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:35:40 [INFO] Epoch 48 loss: 310.2576870918274; train accuracy: 0.8801171875; test accuracy: 0.4929 2025-09-25 03:35:40 [INFO] Round 48 Finish--------| 2025-09-25 03:35:40 [INFO] Model variance: mean: 0.004721745848655701, sum: 52760.5625 2025-09-25 03:35:40 [INFO] g_protos_std: 1.0066789388656616 2025-09-25 03:35:45 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8283 2025-09-25 03:35:45 [INFO] Round 49 starts--------| 2025-09-25 03:35:45 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:36:14 [INFO] Epoch 49 loss: 252.05163478851318; train accuracy: 0.8572162828947368; test accuracy: 0.5526 2025-09-25 03:36:14 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:37:05 [INFO] Epoch 49 loss: 393.88264417648315; train accuracy: 0.8489793346774194; test accuracy: 0.626 2025-09-25 03:37:05 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:38:02 [INFO] Epoch 49 loss: 450.5895195007324; train accuracy: 0.790421195652174; test accuracy: 0.5842 2025-09-25 03:38:02 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:38:43 [INFO] Epoch 49 loss: 290.23725271224976; train accuracy: 0.8836115056818182; test accuracy: 0.6101 2025-09-25 03:38:43 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:39:29 [INFO] Epoch 49 loss: 309.71596479415894; train accuracy: 0.91328125; test accuracy: 0.5573 2025-09-25 03:39:29 [INFO] Round 49 Finish--------| 2025-09-25 03:39:29 [INFO] Model variance: mean: 0.004773800726979971, sum: 53342.21875 2025-09-25 03:39:29 [INFO] g_protos_std: 1.0066900253295898 2025-09-25 03:39:36 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8375 2025-09-25 03:39:36 [INFO] Round 50 starts--------| 2025-09-25 03:39:36 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:40:11 [INFO] Epoch 50 loss: 249.5557098388672; train accuracy: 0.896741365131579; test accuracy: 0.5638 2025-09-25 03:40:11 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:41:08 [INFO] Epoch 50 loss: 389.3273096084595; train accuracy: 0.8139490927419355; test accuracy: 0.5955 2025-09-25 03:41:09 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:42:10 [INFO] Epoch 50 loss: 450.9718556404114; train accuracy: 0.8224071557971014; test accuracy: 0.5989 2025-09-25 03:42:10 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:42:52 [INFO] Epoch 50 loss: 288.62109088897705; train accuracy: 0.8576882102272727; test accuracy: 0.6314 2025-09-25 03:42:52 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:43:39 [INFO] Epoch 50 loss: 316.9805316925049; train accuracy: 0.89734375; test accuracy: 0.5019 2025-09-25 03:43:40 [INFO] Round 50 Finish--------| 2025-09-25 03:43:40 [INFO] Model variance: mean: 0.004825524520128965, sum: 53920.1796875 2025-09-25 03:43:40 [INFO] g_protos_std: 1.0067079067230225 2025-09-25 03:43:45 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.839 2025-09-25 00:24:36 [INFO] Load config from ./configs/CIFAR10_alpha0.5.yaml 2025-09-25 00:24:36 [INFO] config: {'exp_name': 'CIFAR10_alpha0.5', 'dataset': {'data_name': 'CIFAR10', 'root_path': 'H:/codes/dataset', 'train_batch_size': 512, 'test_batch_size': 256, 'channels': 3, 'num_classes': 10, 'image_size': 32}, 'distribution': {'type': 'dirichlet', 'label_num_per_client': 2, 'alpha': 0.5}, 'client': {'num_clients': 5}, 'server': {'num_rounds': 300, 'frac_clients': 1.0, 'lr': 0.05, 'local_epochs': 1, 'optimizer': 'sgd', 'momentum': 0.9, 'weight_decay': 0.0001, 'loss_name': 'ce', 'model_name': 'resnet18', 'aggregated_by_datasize': True, 'lr_decay_per_round': 0.998}, 'device': 'cuda:0', 'checkpoint': {'save_path': './checkpoints/', 'save_freq': 5, 'result_file': 'CIFAR10_results.yaml'}, 'pretrain': {'lr': 0.01, 'epoch': 70, 'model_path': './pretrain/', 'momentum': 0.9, 'weight_decay': 0.0001, 'model_name': 'resnet18', 'model_file_name': 'resnet18-f37072fd.pth'}, 'DBCD': {'alpha_l_pa': 1, 'alpha_l_pb': 1, 'alpha_l_pc': 0.0, 'Beta_alpha': 0.2, 'unsup_method': 'infonce', 'contrastive_temperature': 0.5, 'encoder_epoch': 40, 'projector_epoch': 10, 'use_pretrain': False, 'aug_batch_size': 512, 'encoder_lr': 0.03, 'cls_optimizer': 'sgd', 'cls_lr': 0.05, 'supcon_temp': 0.07, 'super_gr': 100, 'aux_with_public': True}, 'etf': {'loss_name': 'ce'}, 'visualization': {'interval': 5, 'save_path': 'visualization/resnet18', 'vis_size': 16}, 'resume': True, 'resume_best': False, 'seed': 1} 2025-09-25 00:24:38 [INFO] Dataset CIFAR10 loaded 2025-09-25 00:24:38 [INFO] Dataset index dict loaded from preprocessed_data/CIFAR10.pt 2025-09-25 00:24:39 [INFO] OneshotOurs 2025-09-25 00:24:39 [INFO] Round 0 starts--------| 2025-09-25 00:24:39 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:24:49 [INFO] generating sample per sample 2025-09-25 00:26:00 [INFO] Epoch 0 loss: 803.3915758132935; train accuracy: 0.17801706414473684; test accuracy: 0.1595 2025-09-25 00:26:00 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:26:09 [INFO] generating sample per sample 2025-09-25 00:27:04 [INFO] Epoch 0 loss: 636.832350730896; train accuracy: 0.2784463205645161; test accuracy: 0.1879 2025-09-25 00:27:04 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:27:12 [INFO] generating sample per sample 2025-09-25 00:28:03 [INFO] Epoch 0 loss: 617.2233991622925; train accuracy: 0.22299299568965517; test accuracy: 0.1711 2025-09-25 00:28:03 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:28:11 [INFO] generating sample per sample 2025-09-25 00:29:13 [INFO] Epoch 0 loss: 744.4165391921997; train accuracy: 0.2752007378472222; test accuracy: 0.2092 2025-09-25 00:29:13 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:29:18 [INFO] generating sample per sample 2025-09-25 00:29:53 [INFO] Epoch 0 loss: 405.5735912322998; train accuracy: 0.24864783653846154; test accuracy: 0.1008 2025-09-25 00:29:54 [INFO] Round 0 Finish--------| 2025-09-25 00:29:54 [INFO] Model variance: mean: 0.0006606917013414204, sum: 7382.537109375 2025-09-25 00:29:54 [INFO] g_protos_std: 1.0059521198272705 2025-09-25 00:29:59 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.4045 2025-09-25 00:29:59 [INFO] Round 1 starts--------| 2025-09-25 00:29:59 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:31:03 [INFO] Epoch 1 loss: 730.8546028137207; train accuracy: 0.2543688322368421; test accuracy: 0.2164 2025-09-25 00:31:03 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:32:00 [INFO] Epoch 1 loss: 588.8147954940796; train accuracy: 0.2993006552419355; test accuracy: 0.1924 2025-09-25 00:32:00 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:32:55 [INFO] Epoch 1 loss: 580.4913473129272; train accuracy: 0.29509024784482757; test accuracy: 0.2203 2025-09-25 00:32:55 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:34:01 [INFO] Epoch 1 loss: 690.6891756057739; train accuracy: 0.2967122395833333; test accuracy: 0.2359 2025-09-25 00:34:01 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:34:38 [INFO] Epoch 1 loss: 367.9693937301636; train accuracy: 0.28170072115384615; test accuracy: 0.1278 2025-09-25 00:34:38 [INFO] Round 1 Finish--------| 2025-09-25 00:34:38 [INFO] Model variance: mean: 0.0009094076813198626, sum: 10161.677734375 2025-09-25 00:34:38 [INFO] g_protos_std: 1.0059329271316528 2025-09-25 00:34:43 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.4704 2025-09-25 00:34:43 [INFO] Round 2 starts--------| 2025-09-25 00:34:43 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:35:50 [INFO] Epoch 2 loss: 701.0762042999268; train accuracy: 0.3697574013157895; test accuracy: 0.31 2025-09-25 00:35:50 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:36:46 [INFO] Epoch 2 loss: 555.2493553161621; train accuracy: 0.4057459677419355; test accuracy: 0.2724 2025-09-25 00:36:46 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:37:38 [INFO] Epoch 2 loss: 562.375002861023; train accuracy: 0.3697804418103448; test accuracy: 0.2651 2025-09-25 00:37:38 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:38:45 [INFO] Epoch 2 loss: 661.3715257644653; train accuracy: 0.3331163194444444; test accuracy: 0.2675 2025-09-25 00:38:45 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:39:22 [INFO] Epoch 2 loss: 358.38906478881836; train accuracy: 0.3088942307692308; test accuracy: 0.1407 2025-09-25 00:39:22 [INFO] Round 2 Finish--------| 2025-09-25 00:39:22 [INFO] Model variance: mean: 0.001115840976126492, sum: 12468.353515625 2025-09-25 00:39:22 [INFO] g_protos_std: 1.0059382915496826 2025-09-25 00:39:28 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.5277 2025-09-25 00:39:28 [INFO] Round 3 starts--------| 2025-09-25 00:39:28 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:40:38 [INFO] Epoch 3 loss: 680.2031307220459; train accuracy: 0.4187140213815789; test accuracy: 0.3822 2025-09-25 00:40:38 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:41:34 [INFO] Epoch 3 loss: 545.5173377990723; train accuracy: 0.3358429939516129; test accuracy: 0.2204 2025-09-25 00:41:34 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:42:26 [INFO] Epoch 3 loss: 546.9448881149292; train accuracy: 0.31122036637931033; test accuracy: 0.2207 2025-09-25 00:42:26 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:43:29 [INFO] Epoch 3 loss: 637.1383543014526; train accuracy: 0.3554416232638889; test accuracy: 0.2783 2025-09-25 00:43:29 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:44:02 [INFO] Epoch 3 loss: 342.42610454559326; train accuracy: 0.4436598557692308; test accuracy: 0.2182 2025-09-25 00:44:02 [INFO] Round 3 Finish--------| 2025-09-25 00:44:02 [INFO] Model variance: mean: 0.0012944680638611317, sum: 14464.32421875 2025-09-25 00:44:02 [INFO] g_protos_std: 1.0059527158737183 2025-09-25 00:44:08 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.5805 2025-09-25 00:44:08 [INFO] Round 4 starts--------| 2025-09-25 00:44:08 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:45:17 [INFO] Epoch 4 loss: 652.3286237716675; train accuracy: 0.5724712171052632; test accuracy: 0.488 2025-09-25 00:45:17 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:46:12 [INFO] Epoch 4 loss: 529.0299263000488; train accuracy: 0.48724168346774194; test accuracy: 0.332 2025-09-25 00:46:12 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:47:06 [INFO] Epoch 4 loss: 540.2950859069824; train accuracy: 0.5247844827586207; test accuracy: 0.3729 2025-09-25 00:47:06 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:48:06 [INFO] Epoch 4 loss: 619.1359100341797; train accuracy: 0.5144856770833334; test accuracy: 0.405 2025-09-25 00:48:06 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:48:37 [INFO] Epoch 4 loss: 334.16608905792236; train accuracy: 0.34289863782051283; test accuracy: 0.1576 2025-09-25 00:48:37 [INFO] Round 4 Finish--------| 2025-09-25 00:48:37 [INFO] Model variance: mean: 0.0014629008946940303, sum: 16346.384765625 2025-09-25 00:48:37 [INFO] g_protos_std: 1.005957841873169 2025-09-25 00:48:42 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6241 2025-09-25 00:48:42 [INFO] Round 5 starts--------| 2025-09-25 00:48:42 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:49:43 [INFO] Epoch 5 loss: 623.701817035675; train accuracy: 0.5463096217105263; test accuracy: 0.4647 2025-09-25 00:49:43 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:50:33 [INFO] Epoch 5 loss: 523.8673768043518; train accuracy: 0.4537550403225806; test accuracy: 0.2962 2025-09-25 00:50:34 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:51:22 [INFO] Epoch 5 loss: 533.0204877853394; train accuracy: 0.4303273168103448; test accuracy: 0.3087 2025-09-25 00:51:22 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:52:23 [INFO] Epoch 5 loss: 593.0172142982483; train accuracy: 0.4948187934027778; test accuracy: 0.3971 2025-09-25 00:52:23 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:52:58 [INFO] Epoch 5 loss: 328.6977643966675; train accuracy: 0.39473157051282054; test accuracy: 0.1877 2025-09-25 00:52:58 [INFO] Round 5 Finish--------| 2025-09-25 00:52:58 [INFO] Model variance: mean: 0.001623345771804452, sum: 18139.1875 2025-09-25 00:52:58 [INFO] g_protos_std: 1.0059674978256226 2025-09-25 00:53:04 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.646 2025-09-25 00:53:04 [INFO] Round 6 starts--------| 2025-09-25 00:53:04 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:54:06 [INFO] Epoch 6 loss: 619.0133929252625; train accuracy: 0.5401418585526315; test accuracy: 0.4533 2025-09-25 00:54:06 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:54:58 [INFO] Epoch 6 loss: 510.923819065094; train accuracy: 0.5328881048387096; test accuracy: 0.3474 2025-09-25 00:54:58 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:55:47 [INFO] Epoch 6 loss: 521.4373254776001; train accuracy: 0.5142780172413793; test accuracy: 0.3624 2025-09-25 00:55:47 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:56:51 [INFO] Epoch 6 loss: 585.5653772354126; train accuracy: 0.5488823784722222; test accuracy: 0.4429 2025-09-25 00:56:51 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:57:27 [INFO] Epoch 6 loss: 323.04301261901855; train accuracy: 0.42402844551282054; test accuracy: 0.2061 2025-09-25 00:57:27 [INFO] Round 6 Finish--------| 2025-09-25 00:57:27 [INFO] Model variance: mean: 0.0017701582983136177, sum: 19779.6640625 2025-09-25 00:57:27 [INFO] g_protos_std: 1.005972146987915 2025-09-25 00:57:32 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6655 2025-09-25 00:57:32 [INFO] Round 7 starts--------| 2025-09-25 00:57:32 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:58:36 [INFO] Epoch 7 loss: 593.593891620636; train accuracy: 0.5275493421052632; test accuracy: 0.4466 2025-09-25 00:58:36 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:59:30 [INFO] Epoch 7 loss: 499.03909635543823; train accuracy: 0.552702872983871; test accuracy: 0.3759 2025-09-25 00:59:30 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:00:22 [INFO] Epoch 7 loss: 513.7467823028564; train accuracy: 0.41066136853448276; test accuracy: 0.3052 2025-09-25 01:00:22 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:01:23 [INFO] Epoch 7 loss: 568.7533974647522; train accuracy: 0.505859375; test accuracy: 0.4227 2025-09-25 01:01:24 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:01:58 [INFO] Epoch 7 loss: 317.87879037857056; train accuracy: 0.6577023237179487; test accuracy: 0.378 2025-09-25 01:01:58 [INFO] Round 7 Finish--------| 2025-09-25 01:01:58 [INFO] Model variance: mean: 0.0019122791709378362, sum: 21367.71484375 2025-09-25 01:01:58 [INFO] g_protos_std: 1.0059881210327148 2025-09-25 01:02:03 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.6901 2025-09-25 01:02:03 [INFO] Round 8 starts--------| 2025-09-25 01:02:03 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:03:13 [INFO] Epoch 8 loss: 591.5244083404541; train accuracy: 0.6782740542763158; test accuracy: 0.5919 2025-09-25 01:03:13 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:04:04 [INFO] Epoch 8 loss: 495.11038303375244; train accuracy: 0.6688193044354839; test accuracy: 0.4508 2025-09-25 01:04:04 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:04:56 [INFO] Epoch 8 loss: 494.88272047042847; train accuracy: 0.5704135237068966; test accuracy: 0.4062 2025-09-25 01:04:56 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:05:55 [INFO] Epoch 8 loss: 551.413414478302; train accuracy: 0.4723307291666667; test accuracy: 0.4026 2025-09-25 01:05:55 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:06:28 [INFO] Epoch 8 loss: 315.16362714767456; train accuracy: 0.5821814903846154; test accuracy: 0.2911 2025-09-25 01:06:28 [INFO] Round 8 Finish--------| 2025-09-25 01:06:28 [INFO] Model variance: mean: 0.002046928508207202, sum: 22872.28125 2025-09-25 01:06:28 [INFO] g_protos_std: 1.0060091018676758 2025-09-25 01:06:33 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7146 2025-09-25 01:06:33 [INFO] Round 9 starts--------| 2025-09-25 01:06:33 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:07:39 [INFO] Epoch 9 loss: 574.840950012207; train accuracy: 0.6834138569078947; test accuracy: 0.5829 2025-09-25 01:07:39 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:08:35 [INFO] Epoch 9 loss: 487.0430154800415; train accuracy: 0.5052608366935484; test accuracy: 0.3299 2025-09-25 01:08:35 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:09:27 [INFO] Epoch 9 loss: 493.6210045814514; train accuracy: 0.5074084051724138; test accuracy: 0.3468 2025-09-25 01:09:27 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:10:30 [INFO] Epoch 9 loss: 557.5688543319702; train accuracy: 0.6219075520833334; test accuracy: 0.5079 2025-09-25 01:10:30 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:11:05 [INFO] Epoch 9 loss: 298.1132593154907; train accuracy: 0.6500901442307693; test accuracy: 0.3811 2025-09-25 01:11:05 [INFO] Round 9 Finish--------| 2025-09-25 01:11:05 [INFO] Model variance: mean: 0.0021751883905380964, sum: 24305.451171875 2025-09-25 01:11:05 [INFO] g_protos_std: 1.0060187578201294 2025-09-25 01:11:11 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7282 2025-09-25 01:11:11 [INFO] Round 10 starts--------| 2025-09-25 01:11:11 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:12:15 [INFO] Epoch 10 loss: 559.9313855171204; train accuracy: 0.7379471628289473; test accuracy: 0.6212 2025-09-25 01:12:16 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:13:11 [INFO] Epoch 10 loss: 481.48461866378784; train accuracy: 0.7130796370967742; test accuracy: 0.4905 2025-09-25 01:13:11 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:14:03 [INFO] Epoch 10 loss: 490.0919885635376; train accuracy: 0.639581088362069; test accuracy: 0.477 2025-09-25 01:14:04 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:15:06 [INFO] Epoch 10 loss: 551.7005243301392; train accuracy: 0.5072699652777778; test accuracy: 0.4277 2025-09-25 01:15:07 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:15:45 [INFO] Epoch 10 loss: 303.80246448516846; train accuracy: 0.6754807692307693; test accuracy: 0.3882 2025-09-25 01:15:45 [INFO] Round 10 Finish--------| 2025-09-25 01:15:45 [INFO] Model variance: mean: 0.002296171383932233, sum: 25657.30859375 2025-09-25 01:15:45 [INFO] g_protos_std: 1.0060259103775024 2025-09-25 01:15:51 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7366 2025-09-25 01:15:51 [INFO] Round 11 starts--------| 2025-09-25 01:15:51 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:16:59 [INFO] Epoch 11 loss: 558.1000928878784; train accuracy: 0.7089586759868421; test accuracy: 0.5845 2025-09-25 01:16:59 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:17:55 [INFO] Epoch 11 loss: 483.46699571609497; train accuracy: 0.6248424899193549; test accuracy: 0.4382 2025-09-25 01:17:55 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:18:46 [INFO] Epoch 11 loss: 474.50988721847534; train accuracy: 0.6772629310344828; test accuracy: 0.5405 2025-09-25 01:18:46 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:19:50 [INFO] Epoch 11 loss: 540.3907299041748; train accuracy: 0.6871202256944444; test accuracy: 0.5609 2025-09-25 01:19:50 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:20:26 [INFO] Epoch 11 loss: 293.3596611022949; train accuracy: 0.6439803685897436; test accuracy: 0.3638 2025-09-25 01:20:26 [INFO] Round 11 Finish--------| 2025-09-25 01:20:26 [INFO] Model variance: mean: 0.0024137822911143303, sum: 26971.48828125 2025-09-25 01:20:26 [INFO] g_protos_std: 1.0060486793518066 2025-09-25 01:20:31 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7568 2025-09-25 01:20:31 [INFO] Round 12 starts--------| 2025-09-25 01:20:31 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:21:40 [INFO] Epoch 12 loss: 566.1078081130981; train accuracy: 0.7039473684210527; test accuracy: 0.5895 2025-09-25 01:21:40 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:22:32 [INFO] Epoch 12 loss: 468.46113538742065; train accuracy: 0.6527847782258065; test accuracy: 0.4669 2025-09-25 01:22:32 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:23:21 [INFO] Epoch 12 loss: 475.0444326400757; train accuracy: 0.5941540948275862; test accuracy: 0.4641 2025-09-25 01:23:21 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:24:25 [INFO] Epoch 12 loss: 533.8814167976379; train accuracy: 0.7500271267361112; test accuracy: 0.6165 2025-09-25 01:24:25 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:25:01 [INFO] Epoch 12 loss: 296.2473087310791; train accuracy: 0.6783353365384616; test accuracy: 0.3559 2025-09-25 01:25:01 [INFO] Round 12 Finish--------| 2025-09-25 01:25:01 [INFO] Model variance: mean: 0.00252212374471128, sum: 28182.08984375 2025-09-25 01:25:01 [INFO] g_protos_std: 1.0060524940490723 2025-09-25 01:25:06 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7696 2025-09-25 01:25:06 [INFO] Round 13 starts--------| 2025-09-25 01:25:06 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:26:09 [INFO] Epoch 13 loss: 543.5581617355347; train accuracy: 0.6687654194078947; test accuracy: 0.5466 2025-09-25 01:26:09 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:26:57 [INFO] Epoch 13 loss: 462.94931173324585; train accuracy: 0.7229397681451613; test accuracy: 0.517 2025-09-25 01:26:57 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:27:44 [INFO] Epoch 13 loss: 473.506055355072; train accuracy: 0.6894194504310345; test accuracy: 0.5473 2025-09-25 01:27:44 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:28:44 [INFO] Epoch 13 loss: 528.1737670898438; train accuracy: 0.7940809461805556; test accuracy: 0.6275 2025-09-25 01:28:44 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:29:17 [INFO] Epoch 13 loss: 293.1146101951599; train accuracy: 0.5773737980769231; test accuracy: 0.3393 2025-09-25 01:29:17 [INFO] Round 13 Finish--------| 2025-09-25 01:29:17 [INFO] Model variance: mean: 0.002630410483106971, sum: 29392.080078125 2025-09-25 01:29:17 [INFO] g_protos_std: 1.006073236465454 2025-09-25 01:29:23 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7674 2025-09-25 01:29:23 [INFO] Round 14 starts--------| 2025-09-25 01:29:23 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:30:25 [INFO] Epoch 14 loss: 550.8022408485413; train accuracy: 0.7394120065789473; test accuracy: 0.6311 2025-09-25 01:30:25 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:31:15 [INFO] Epoch 14 loss: 458.72008752822876; train accuracy: 0.7127016129032258; test accuracy: 0.4965 2025-09-25 01:31:15 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:32:03 [INFO] Epoch 14 loss: 469.0713334083557; train accuracy: 0.6760843211206896; test accuracy: 0.525 2025-09-25 01:32:03 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:33:02 [INFO] Epoch 14 loss: 526.481734752655; train accuracy: 0.58984375; test accuracy: 0.477 2025-09-25 01:33:02 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:33:34 [INFO] Epoch 14 loss: 291.4337205886841; train accuracy: 0.78515625; test accuracy: 0.4681 2025-09-25 01:33:34 [INFO] Round 14 Finish--------| 2025-09-25 01:33:34 [INFO] Model variance: mean: 0.002731449669227004, sum: 30521.0859375 2025-09-25 01:33:34 [INFO] g_protos_std: 1.0060830116271973 2025-09-25 01:33:40 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7687 2025-09-25 01:33:40 [INFO] Round 15 starts--------| 2025-09-25 01:33:40 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:34:42 [INFO] Epoch 15 loss: 547.090407371521; train accuracy: 0.7925061677631579; test accuracy: 0.6838 2025-09-25 01:34:43 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:35:34 [INFO] Epoch 15 loss: 453.9973883628845; train accuracy: 0.6984311995967742; test accuracy: 0.5113 2025-09-25 01:35:34 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:36:25 [INFO] Epoch 15 loss: 463.89500856399536; train accuracy: 0.613213900862069; test accuracy: 0.4487 2025-09-25 01:36:26 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:37:27 [INFO] Epoch 15 loss: 523.7584471702576; train accuracy: 0.6683485243055556; test accuracy: 0.5352 2025-09-25 01:37:27 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:38:01 [INFO] Epoch 15 loss: 292.72063398361206; train accuracy: 0.755058092948718; test accuracy: 0.4228 2025-09-25 01:38:01 [INFO] Round 15 Finish--------| 2025-09-25 01:38:01 [INFO] Model variance: mean: 0.002831757999956608, sum: 31641.927734375 2025-09-25 01:38:01 [INFO] g_protos_std: 1.006091833114624 2025-09-25 01:38:07 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7792 2025-09-25 01:38:07 [INFO] Round 16 starts--------| 2025-09-25 01:38:07 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:39:09 [INFO] Epoch 16 loss: 531.7074222564697; train accuracy: 0.7986225328947368; test accuracy: 0.6811 2025-09-25 01:39:09 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:39:59 [INFO] Epoch 16 loss: 456.86259174346924; train accuracy: 0.7545992943548387; test accuracy: 0.5123 2025-09-25 01:39:59 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:40:47 [INFO] Epoch 16 loss: 456.45973539352417; train accuracy: 0.6755118534482759; test accuracy: 0.5163 2025-09-25 01:40:47 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:41:50 [INFO] Epoch 16 loss: 510.6995759010315; train accuracy: 0.6346299913194444; test accuracy: 0.5249 2025-09-25 01:41:50 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:42:26 [INFO] Epoch 16 loss: 282.63125801086426; train accuracy: 0.8187099358974359; test accuracy: 0.4776 2025-09-25 01:42:26 [INFO] Round 16 Finish--------| 2025-09-25 01:42:26 [INFO] Model variance: mean: 0.0029321731999516487, sum: 32763.962890625 2025-09-25 01:42:26 [INFO] g_protos_std: 1.0061161518096924 2025-09-25 01:42:32 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7903 2025-09-25 01:42:32 [INFO] Round 17 starts--------| 2025-09-25 01:42:32 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:43:40 [INFO] Epoch 17 loss: 536.6815509796143; train accuracy: 0.7691714638157895; test accuracy: 0.6652 2025-09-25 01:43:40 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:44:35 [INFO] Epoch 17 loss: 459.089054107666; train accuracy: 0.7066532258064516; test accuracy: 0.4823 2025-09-25 01:44:35 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:45:27 [INFO] Epoch 17 loss: 447.1868486404419; train accuracy: 0.6410627693965517; test accuracy: 0.5088 2025-09-25 01:45:27 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:46:30 [INFO] Epoch 17 loss: 517.3532910346985; train accuracy: 0.7068142361111112; test accuracy: 0.5865 2025-09-25 01:46:30 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:47:05 [INFO] Epoch 17 loss: 284.3194546699524; train accuracy: 0.7309695512820513; test accuracy: 0.4507 2025-09-25 01:47:05 [INFO] Round 17 Finish--------| 2025-09-25 01:47:05 [INFO] Model variance: mean: 0.0030275036115199327, sum: 33829.1796875 2025-09-25 01:47:05 [INFO] g_protos_std: 1.0061253309249878 2025-09-25 01:47:10 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.7981 2025-09-25 01:47:10 [INFO] Round 18 starts--------| 2025-09-25 01:47:10 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:48:18 [INFO] Epoch 18 loss: 522.6077766418457; train accuracy: 0.7646227384868421; test accuracy: 0.6419 2025-09-25 01:48:18 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:49:12 [INFO] Epoch 18 loss: 444.1890592575073; train accuracy: 0.7193485383064516; test accuracy: 0.5087 2025-09-25 01:49:12 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:50:02 [INFO] Epoch 18 loss: 445.36169624328613; train accuracy: 0.6697198275862069; test accuracy: 0.525 2025-09-25 01:50:02 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:51:03 [INFO] Epoch 18 loss: 513.1363143920898; train accuracy: 0.7645128038194444; test accuracy: 0.6174 2025-09-25 01:51:03 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:51:38 [INFO] Epoch 18 loss: 284.23814630508423; train accuracy: 0.8207632211538461; test accuracy: 0.527 2025-09-25 01:51:38 [INFO] Round 18 Finish--------| 2025-09-25 01:51:38 [INFO] Model variance: mean: 0.0031212512403726578, sum: 34876.7109375 2025-09-25 01:51:38 [INFO] g_protos_std: 1.0061445236206055 2025-09-25 01:51:44 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8041 2025-09-25 01:51:44 [INFO] Round 19 starts--------| 2025-09-25 01:51:44 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:52:50 [INFO] Epoch 19 loss: 525.193597316742; train accuracy: 0.810546875; test accuracy: 0.6797 2025-09-25 01:52:50 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:53:45 [INFO] Epoch 19 loss: 441.25352001190186; train accuracy: 0.7150327620967742; test accuracy: 0.498 2025-09-25 01:53:45 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:54:38 [INFO] Epoch 19 loss: 449.8232479095459; train accuracy: 0.6627491918103449; test accuracy: 0.4905 2025-09-25 01:54:38 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:55:42 [INFO] Epoch 19 loss: 498.470685005188; train accuracy: 0.6495768229166666; test accuracy: 0.5247 2025-09-25 01:55:42 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:56:16 [INFO] Epoch 19 loss: 285.3778133392334; train accuracy: 0.7729366987179487; test accuracy: 0.4905 2025-09-25 01:56:16 [INFO] Round 19 Finish--------| 2025-09-25 01:56:16 [INFO] Model variance: mean: 0.003213688964024186, sum: 35909.60546875 2025-09-25 01:56:16 [INFO] g_protos_std: 1.0061630010604858 2025-09-25 01:56:21 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8041 2025-09-25 01:56:21 [INFO] Round 20 starts--------| 2025-09-25 01:56:21 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:57:26 [INFO] Epoch 20 loss: 515.584804058075; train accuracy: 0.7823807565789473; test accuracy: 0.6701 2025-09-25 01:57:27 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:58:23 [INFO] Epoch 20 loss: 445.58501291275024; train accuracy: 0.760773689516129; test accuracy: 0.5266 2025-09-25 01:58:24 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:59:16 [INFO] Epoch 20 loss: 445.4110312461853; train accuracy: 0.7197602370689655; test accuracy: 0.5783 2025-09-25 01:59:16 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:00:17 [INFO] Epoch 20 loss: 501.6252450942993; train accuracy: 0.7637803819444444; test accuracy: 0.628 2025-09-25 02:00:17 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:00:53 [INFO] Epoch 20 loss: 276.64833307266235; train accuracy: 0.8011318108974359; test accuracy: 0.4807 2025-09-25 02:00:54 [INFO] Round 20 Finish--------| 2025-09-25 02:00:54 [INFO] Model variance: mean: 0.0033025573939085007, sum: 36902.6171875 2025-09-25 02:00:54 [INFO] g_protos_std: 1.0061757564544678 2025-09-25 02:00:59 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8155 2025-09-25 02:00:59 [INFO] Round 21 starts--------| 2025-09-25 02:00:59 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:02:04 [INFO] Epoch 21 loss: 526.8660707473755; train accuracy: 0.827379728618421; test accuracy: 0.714 2025-09-25 02:02:05 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:02:58 [INFO] Epoch 21 loss: 440.13099479675293; train accuracy: 0.7052986391129032; test accuracy: 0.5024 2025-09-25 02:02:58 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:03:50 [INFO] Epoch 21 loss: 439.79679012298584; train accuracy: 0.7333647629310345; test accuracy: 0.5794 2025-09-25 02:03:50 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:04:50 [INFO] Epoch 21 loss: 503.012818813324; train accuracy: 0.7859700520833334; test accuracy: 0.6549 2025-09-25 02:04:50 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:05:25 [INFO] Epoch 21 loss: 279.3890733718872; train accuracy: 0.742988782051282; test accuracy: 0.4481 2025-09-25 02:05:25 [INFO] Round 21 Finish--------| 2025-09-25 02:05:25 [INFO] Model variance: mean: 0.0033880043774843216, sum: 37857.3984375 2025-09-25 02:05:25 [INFO] g_protos_std: 1.0061849355697632 2025-09-25 02:05:30 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8156 2025-09-25 02:05:30 [INFO] Round 22 starts--------| 2025-09-25 02:05:30 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:06:35 [INFO] Epoch 22 loss: 514.9543333053589; train accuracy: 0.8365285773026315; test accuracy: 0.7232 2025-09-25 02:06:35 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:07:32 [INFO] Epoch 22 loss: 449.49663734436035; train accuracy: 0.6935168850806451; test accuracy: 0.4897 2025-09-25 02:07:32 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:08:24 [INFO] Epoch 22 loss: 439.5940589904785; train accuracy: 0.7234644396551724; test accuracy: 0.5869 2025-09-25 02:08:24 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:09:23 [INFO] Epoch 22 loss: 491.7838525772095; train accuracy: 0.8202039930555556; test accuracy: 0.6611 2025-09-25 02:09:23 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:09:56 [INFO] Epoch 22 loss: 279.5213313102722; train accuracy: 0.7711338141025641; test accuracy: 0.4717 2025-09-25 02:09:56 [INFO] Round 22 Finish--------| 2025-09-25 02:09:56 [INFO] Model variance: mean: 0.0034742418210953474, sum: 38821.01171875 2025-09-25 02:09:56 [INFO] g_protos_std: 1.006203532218933 2025-09-25 02:10:01 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8159 2025-09-25 02:10:01 [INFO] Round 23 starts--------| 2025-09-25 02:10:01 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:11:04 [INFO] Epoch 23 loss: 505.98887300491333; train accuracy: 0.8538754111842105; test accuracy: 0.7252 2025-09-25 02:11:04 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:11:57 [INFO] Epoch 23 loss: 436.39042377471924; train accuracy: 0.8061365927419355; test accuracy: 0.5534 2025-09-25 02:11:57 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:12:48 [INFO] Epoch 23 loss: 437.47247552871704; train accuracy: 0.7360587284482759; test accuracy: 0.5948 2025-09-25 02:12:48 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:13:53 [INFO] Epoch 23 loss: 495.47788524627686; train accuracy: 0.7840711805555556; test accuracy: 0.6447 2025-09-25 02:13:53 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:14:28 [INFO] Epoch 23 loss: 270.83490085601807; train accuracy: 0.6775340544871795; test accuracy: 0.4038 2025-09-25 02:14:28 [INFO] Round 23 Finish--------| 2025-09-25 02:14:28 [INFO] Model variance: mean: 0.0035600964911282063, sum: 39780.34765625 2025-09-25 02:14:28 [INFO] g_protos_std: 1.006225824356079 2025-09-25 02:14:34 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.828 2025-09-25 02:14:34 [INFO] Round 24 starts--------| 2025-09-25 02:14:34 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:15:41 [INFO] Epoch 24 loss: 506.55829095840454; train accuracy: 0.8041478207236842; test accuracy: 0.6829 2025-09-25 02:15:41 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:16:38 [INFO] Epoch 24 loss: 429.29823207855225; train accuracy: 0.792937247983871; test accuracy: 0.5486 2025-09-25 02:16:38 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:17:31 [INFO] Epoch 24 loss: 428.98978662490845; train accuracy: 0.7442416487068966; test accuracy: 0.5269 2025-09-25 02:17:31 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:18:36 [INFO] Epoch 24 loss: 485.9300494194031; train accuracy: 0.8063693576388888; test accuracy: 0.6631 2025-09-25 02:18:36 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:19:10 [INFO] Epoch 24 loss: 279.0006957054138; train accuracy: 0.7846554487179487; test accuracy: 0.5035 2025-09-25 02:19:10 [INFO] Round 24 Finish--------| 2025-09-25 02:19:10 [INFO] Model variance: mean: 0.003642890602350235, sum: 40705.484375 2025-09-25 02:19:10 [INFO] g_protos_std: 1.006248116493225 2025-09-25 02:19:16 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8247 2025-09-25 02:19:16 [INFO] Round 25 starts--------| 2025-09-25 02:19:16 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:20:23 [INFO] Epoch 25 loss: 500.8357639312744; train accuracy: 0.7933028371710527; test accuracy: 0.6629 2025-09-25 02:20:24 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:21:19 [INFO] Epoch 25 loss: 424.59241104125977; train accuracy: 0.8439705141129032; test accuracy: 0.5868 2025-09-25 02:21:19 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:22:12 [INFO] Epoch 25 loss: 434.5405464172363; train accuracy: 0.782159213362069; test accuracy: 0.6321 2025-09-25 02:22:13 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:23:21 [INFO] Epoch 25 loss: 486.89406633377075; train accuracy: 0.7928331163194444; test accuracy: 0.647 2025-09-25 02:23:22 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:23:59 [INFO] Epoch 25 loss: 268.1885895729065; train accuracy: 0.7726862980769231; test accuracy: 0.4667 2025-09-25 02:23:59 [INFO] Round 25 Finish--------| 2025-09-25 02:23:59 [INFO] Model variance: mean: 0.003723888425156474, sum: 41610.55078125 2025-09-25 02:23:59 [INFO] g_protos_std: 1.0062642097473145 2025-09-25 02:24:05 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8344 2025-09-25 02:24:05 [INFO] Round 26 starts--------| 2025-09-25 02:24:05 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:25:11 [INFO] Epoch 26 loss: 507.19289445877075; train accuracy: 0.8267629523026315; test accuracy: 0.694 2025-09-25 02:25:11 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:26:08 [INFO] Epoch 26 loss: 431.5401086807251; train accuracy: 0.8024193548387096; test accuracy: 0.5836 2025-09-25 02:26:08 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:27:01 [INFO] Epoch 26 loss: 433.2909097671509; train accuracy: 0.7721241918103449; test accuracy: 0.5953 2025-09-25 02:27:01 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:28:06 [INFO] Epoch 26 loss: 484.59729528427124; train accuracy: 0.8166232638888888; test accuracy: 0.6515 2025-09-25 02:28:06 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:28:41 [INFO] Epoch 26 loss: 274.6433267593384; train accuracy: 0.7839543269230769; test accuracy: 0.5262 2025-09-25 02:28:41 [INFO] Round 26 Finish--------| 2025-09-25 02:28:41 [INFO] Model variance: mean: 0.0038010976277291775, sum: 42473.28125 2025-09-25 02:28:41 [INFO] g_protos_std: 1.006271243095398 2025-09-25 02:28:47 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8392 2025-09-25 02:28:47 [INFO] Round 27 starts--------| 2025-09-25 02:28:47 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:29:51 [INFO] Epoch 27 loss: 496.98973274230957; train accuracy: 0.8226511101973685; test accuracy: 0.7069 2025-09-25 02:29:51 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:30:48 [INFO] Epoch 27 loss: 425.8984980583191; train accuracy: 0.7840851814516129; test accuracy: 0.5703 2025-09-25 02:30:48 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:31:41 [INFO] Epoch 27 loss: 423.572922706604; train accuracy: 0.7647831357758621; test accuracy: 0.597 2025-09-25 02:31:41 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:32:46 [INFO] Epoch 27 loss: 480.8173813819885; train accuracy: 0.8304578993055556; test accuracy: 0.6955 2025-09-25 02:32:46 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:33:19 [INFO] Epoch 27 loss: 265.37285470962524; train accuracy: 0.8263721955128205; test accuracy: 0.511 2025-09-25 02:33:19 [INFO] Round 27 Finish--------| 2025-09-25 02:33:19 [INFO] Model variance: mean: 0.003880281001329422, sum: 43358.07421875 2025-09-25 02:33:19 [INFO] g_protos_std: 1.0063005685806274 2025-09-25 02:33:24 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8334 2025-09-25 02:33:24 [INFO] Round 28 starts--------| 2025-09-25 02:33:24 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:34:27 [INFO] Epoch 28 loss: 502.6702585220337; train accuracy: 0.8053813733552632; test accuracy: 0.6856 2025-09-25 02:34:27 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:35:19 [INFO] Epoch 28 loss: 418.42741537094116; train accuracy: 0.7655304939516129; test accuracy: 0.5354 2025-09-25 02:35:19 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:36:08 [INFO] Epoch 28 loss: 419.93504667282104; train accuracy: 0.7910492995689655; test accuracy: 0.6051 2025-09-25 02:36:08 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:37:09 [INFO] Epoch 28 loss: 484.64200925827026; train accuracy: 0.8135850694444444; test accuracy: 0.6871 2025-09-25 02:37:09 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:37:44 [INFO] Epoch 28 loss: 266.5469799041748; train accuracy: 0.8597255608974359; test accuracy: 0.5577 2025-09-25 02:37:44 [INFO] Round 28 Finish--------| 2025-09-25 02:37:44 [INFO] Model variance: mean: 0.0039559886790812016, sum: 44204.02734375 2025-09-25 02:37:44 [INFO] g_protos_std: 1.0063197612762451 2025-09-25 02:37:50 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8449 2025-09-25 02:37:50 [INFO] Round 29 starts--------| 2025-09-25 02:37:50 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:39:01 [INFO] Epoch 29 loss: 495.008029460907; train accuracy: 0.800549958881579; test accuracy: 0.6903 2025-09-25 02:39:01 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:39:55 [INFO] Epoch 29 loss: 420.75313091278076; train accuracy: 0.7966229838709677; test accuracy: 0.575 2025-09-25 02:39:55 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:40:47 [INFO] Epoch 29 loss: 417.3031396865845; train accuracy: 0.7754242995689655; test accuracy: 0.6092 2025-09-25 02:40:47 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:41:50 [INFO] Epoch 29 loss: 481.8610038757324; train accuracy: 0.8110080295138888; test accuracy: 0.6746 2025-09-25 02:41:50 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:42:27 [INFO] Epoch 29 loss: 270.2253432273865; train accuracy: 0.8213641826923077; test accuracy: 0.5327 2025-09-25 02:42:27 [INFO] Round 29 Finish--------| 2025-09-25 02:42:27 [INFO] Model variance: mean: 0.004031783435493708, sum: 45050.953125 2025-09-25 02:42:27 [INFO] g_protos_std: 1.006340742111206 2025-09-25 02:42:33 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8465 2025-09-25 02:42:33 [INFO] Round 30 starts--------| 2025-09-25 02:42:33 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:43:37 [INFO] Epoch 30 loss: 493.6667003631592; train accuracy: 0.8632041529605263; test accuracy: 0.7344 2025-09-25 02:43:38 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:44:31 [INFO] Epoch 30 loss: 416.52828311920166; train accuracy: 0.8332913306451613; test accuracy: 0.5915 2025-09-25 02:44:32 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:45:23 [INFO] Epoch 30 loss: 407.8721103668213; train accuracy: 0.7678138469827587; test accuracy: 0.5981 2025-09-25 02:45:24 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:46:28 [INFO] Epoch 30 loss: 486.11139249801636; train accuracy: 0.8391384548611112; test accuracy: 0.6886 2025-09-25 02:46:28 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:47:06 [INFO] Epoch 30 loss: 272.36064624786377; train accuracy: 0.830078125; test accuracy: 0.5278 2025-09-25 02:47:06 [INFO] Round 30 Finish--------| 2025-09-25 02:47:06 [INFO] Model variance: mean: 0.004106549546122551, sum: 45886.38671875 2025-09-25 02:47:06 [INFO] g_protos_std: 1.0063587427139282 2025-09-25 02:47:12 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8474 2025-09-25 02:47:12 [INFO] Round 31 starts--------| 2025-09-25 02:47:12 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:48:23 [INFO] Epoch 31 loss: 498.94878244400024; train accuracy: 0.8677785773026315; test accuracy: 0.7176 2025-09-25 02:48:23 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:49:21 [INFO] Epoch 31 loss: 420.7593140602112; train accuracy: 0.7707598286290323; test accuracy: 0.5687 2025-09-25 02:49:21 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:50:13 [INFO] Epoch 31 loss: 416.0974340438843; train accuracy: 0.7383822737068966; test accuracy: 0.604 2025-09-25 02:50:13 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:51:18 [INFO] Epoch 31 loss: 473.8273558616638; train accuracy: 0.8263888888888888; test accuracy: 0.6854 2025-09-25 02:51:18 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:51:54 [INFO] Epoch 31 loss: 270.6158518791199; train accuracy: 0.8326322115384616; test accuracy: 0.5094 2025-09-25 02:51:54 [INFO] Round 31 Finish--------| 2025-09-25 02:51:54 [INFO] Model variance: mean: 0.004179300740361214, sum: 46699.3046875 2025-09-25 02:51:54 [INFO] g_protos_std: 1.0063730478286743 2025-09-25 02:51:59 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8462 2025-09-25 02:51:59 [INFO] Round 32 starts--------| 2025-09-25 02:51:59 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:53:06 [INFO] Epoch 32 loss: 493.8330674171448; train accuracy: 0.8386872944078947; test accuracy: 0.706 2025-09-25 02:53:06 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:54:00 [INFO] Epoch 32 loss: 421.78227949142456; train accuracy: 0.8405682963709677; test accuracy: 0.5956 2025-09-25 02:54:00 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:54:53 [INFO] Epoch 32 loss: 413.4278964996338; train accuracy: 0.6996901939655172; test accuracy: 0.5636 2025-09-25 02:54:53 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:55:56 [INFO] Epoch 32 loss: 484.95063161849976; train accuracy: 0.7896864149305556; test accuracy: 0.6361 2025-09-25 02:55:56 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:56:32 [INFO] Epoch 32 loss: 268.0129904747009; train accuracy: 0.8678886217948718; test accuracy: 0.5559 2025-09-25 02:56:32 [INFO] Round 32 Finish--------| 2025-09-25 02:56:32 [INFO] Model variance: mean: 0.0042508612386882305, sum: 47498.91796875 2025-09-25 02:56:32 [INFO] g_protos_std: 1.0063896179199219 2025-09-25 02:56:37 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8477 2025-09-25 02:56:37 [INFO] Round 33 starts--------| 2025-09-25 02:56:37 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:57:43 [INFO] Epoch 33 loss: 488.3829140663147; train accuracy: 0.8740234375; test accuracy: 0.7267 2025-09-25 02:57:43 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:58:37 [INFO] Epoch 33 loss: 410.6105728149414; train accuracy: 0.7964969758064516; test accuracy: 0.572 2025-09-25 02:58:37 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:59:30 [INFO] Epoch 33 loss: 417.34861183166504; train accuracy: 0.7778151939655172; test accuracy: 0.599 2025-09-25 02:59:30 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:00:35 [INFO] Epoch 33 loss: 469.7295365333557; train accuracy: 0.8658854166666666; test accuracy: 0.6981 2025-09-25 03:00:35 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:01:09 [INFO] Epoch 33 loss: 270.75468015670776; train accuracy: 0.8098958333333334; test accuracy: 0.5021 2025-09-25 03:01:09 [INFO] Round 33 Finish--------| 2025-09-25 03:01:09 [INFO] Model variance: mean: 0.004321126267313957, sum: 48284.0546875 2025-09-25 03:01:09 [INFO] g_protos_std: 1.006407380104065 2025-09-25 03:01:15 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8526 2025-09-25 03:01:15 [INFO] Round 34 starts--------| 2025-09-25 03:01:15 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:02:19 [INFO] Epoch 34 loss: 480.20858240127563; train accuracy: 0.879137541118421; test accuracy: 0.7307 2025-09-25 03:02:19 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:03:13 [INFO] Epoch 34 loss: 412.5512499809265; train accuracy: 0.8125945060483871; test accuracy: 0.5929 2025-09-25 03:03:13 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:04:04 [INFO] Epoch 34 loss: 406.63424730300903; train accuracy: 0.8308863146551724; test accuracy: 0.6563 2025-09-25 03:04:04 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:05:04 [INFO] Epoch 34 loss: 471.2560234069824; train accuracy: 0.8146158854166666; test accuracy: 0.707 2025-09-25 03:05:04 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:05:38 [INFO] Epoch 34 loss: 258.3979682922363; train accuracy: 0.8516125801282052; test accuracy: 0.5616 2025-09-25 03:05:38 [INFO] Round 34 Finish--------| 2025-09-25 03:05:38 [INFO] Model variance: mean: 0.0043921866454184055, sum: 49078.08203125 2025-09-25 03:05:38 [INFO] g_protos_std: 1.0064383745193481 2025-09-25 03:05:43 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8594 2025-09-25 03:05:43 [INFO] Round 35 starts--------| 2025-09-25 03:05:43 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:06:49 [INFO] Epoch 35 loss: 479.11002016067505; train accuracy: 0.8824784128289473; test accuracy: 0.7332 2025-09-25 03:06:50 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:07:42 [INFO] Epoch 35 loss: 415.9942955970764; train accuracy: 0.8503339213709677; test accuracy: 0.6015 2025-09-25 03:07:43 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:08:36 [INFO] Epoch 35 loss: 417.2554364204407; train accuracy: 0.8108499461206896; test accuracy: 0.6728 2025-09-25 03:08:36 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:09:39 [INFO] Epoch 35 loss: 474.81683015823364; train accuracy: 0.8253851996527778; test accuracy: 0.6988 2025-09-25 03:09:40 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:10:16 [INFO] Epoch 35 loss: 264.1599769592285; train accuracy: 0.860176282051282; test accuracy: 0.5691 2025-09-25 03:10:17 [INFO] Round 35 Finish--------| 2025-09-25 03:10:17 [INFO] Model variance: mean: 0.004459533840417862, sum: 49830.6171875 2025-09-25 03:10:17 [INFO] g_protos_std: 1.0064456462860107 2025-09-25 03:10:22 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8594 2025-09-25 03:10:22 [INFO] Round 36 starts--------| 2025-09-25 03:10:22 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:11:27 [INFO] Epoch 36 loss: 478.17261028289795; train accuracy: 0.8775956003289473; test accuracy: 0.7397 2025-09-25 03:11:27 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:12:22 [INFO] Epoch 36 loss: 402.26776361465454; train accuracy: 0.8236517137096774; test accuracy: 0.5984 2025-09-25 03:12:22 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:13:13 [INFO] Epoch 36 loss: 413.02274084091187; train accuracy: 0.7833041487068966; test accuracy: 0.625 2025-09-25 03:13:13 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:14:17 [INFO] Epoch 36 loss: 468.43069219589233; train accuracy: 0.80126953125; test accuracy: 0.6739 2025-09-25 03:14:17 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:14:53 [INFO] Epoch 36 loss: 263.5488042831421; train accuracy: 0.8345352564102564; test accuracy: 0.5366 2025-09-25 03:14:53 [INFO] Round 36 Finish--------| 2025-09-25 03:14:53 [INFO] Model variance: mean: 0.004528047051280737, sum: 50596.1796875 2025-09-25 03:14:53 [INFO] g_protos_std: 1.0064681768417358 2025-09-25 03:14:58 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8606 2025-09-25 03:14:58 [INFO] Round 37 starts--------| 2025-09-25 03:14:58 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:16:05 [INFO] Epoch 37 loss: 483.36560344696045; train accuracy: 0.8175884046052632; test accuracy: 0.6764 2025-09-25 03:16:05 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:16:59 [INFO] Epoch 37 loss: 401.2705988883972; train accuracy: 0.8334173387096774; test accuracy: 0.6048 2025-09-25 03:16:59 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:17:51 [INFO] Epoch 37 loss: 403.4482774734497; train accuracy: 0.79296875; test accuracy: 0.5922 2025-09-25 03:17:51 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:18:54 [INFO] Epoch 37 loss: 465.5091071128845; train accuracy: 0.8241644965277778; test accuracy: 0.6793 2025-09-25 03:18:54 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:19:29 [INFO] Epoch 37 loss: 264.17886304855347; train accuracy: 0.8577724358974359; test accuracy: 0.5337 2025-09-25 03:19:29 [INFO] Round 37 Finish--------| 2025-09-25 03:19:29 [INFO] Model variance: mean: 0.004596505779772997, sum: 51361.1328125 2025-09-25 03:19:29 [INFO] g_protos_std: 1.0064926147460938 2025-09-25 03:19:35 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8613 2025-09-25 03:19:35 [INFO] Round 38 starts--------| 2025-09-25 03:19:35 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:20:42 [INFO] Epoch 38 loss: 489.6999831199646; train accuracy: 0.7874691611842105; test accuracy: 0.6759 2025-09-25 03:20:42 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:21:35 [INFO] Epoch 38 loss: 402.6155080795288; train accuracy: 0.7821635584677419; test accuracy: 0.5908 2025-09-25 03:21:35 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:22:23 [INFO] Epoch 38 loss: 403.7769937515259; train accuracy: 0.8098397090517241; test accuracy: 0.6892 2025-09-25 03:22:23 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:23:23 [INFO] Epoch 38 loss: 457.11962270736694; train accuracy: 0.8434516059027778; test accuracy: 0.7205 2025-09-25 03:23:23 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:23:57 [INFO] Epoch 38 loss: 260.5803518295288; train accuracy: 0.8961338141025641; test accuracy: 0.5598 2025-09-25 03:23:57 [INFO] Round 38 Finish--------| 2025-09-25 03:23:57 [INFO] Model variance: mean: 0.0046631465665996075, sum: 52105.7734375 2025-09-25 03:23:57 [INFO] g_protos_std: 1.0065103769302368 2025-09-25 03:24:02 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8627 2025-09-25 03:24:02 [INFO] Round 39 starts--------| 2025-09-25 03:24:02 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:25:04 [INFO] Epoch 39 loss: 480.38154554367065; train accuracy: 0.8134765625; test accuracy: 0.6741 2025-09-25 03:25:04 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:25:54 [INFO] Epoch 39 loss: 408.39530086517334; train accuracy: 0.7664125504032258; test accuracy: 0.5507 2025-09-25 03:25:54 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:26:44 [INFO] Epoch 39 loss: 399.30361318588257; train accuracy: 0.7332637392241379; test accuracy: 0.6178 2025-09-25 03:26:44 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:27:43 [INFO] Epoch 39 loss: 465.9498920440674; train accuracy: 0.8295627170138888; test accuracy: 0.6723 2025-09-25 03:27:43 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:28:19 [INFO] Epoch 39 loss: 259.8113799095154; train accuracy: 0.8764523237179487; test accuracy: 0.5658 2025-09-25 03:28:19 [INFO] Round 39 Finish--------| 2025-09-25 03:28:19 [INFO] Model variance: mean: 0.004728572443127632, sum: 52836.83984375 2025-09-25 03:28:19 [INFO] g_protos_std: 1.0065274238586426 2025-09-25 03:28:24 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8668 2025-09-25 03:28:24 [INFO] Round 40 starts--------| 2025-09-25 03:28:24 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:29:29 [INFO] Epoch 40 loss: 473.59032106399536; train accuracy: 0.9085115131578947; test accuracy: 0.7547 2025-09-25 03:29:29 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:30:24 [INFO] Epoch 40 loss: 400.6194829940796; train accuracy: 0.8438760080645161; test accuracy: 0.5875 2025-09-25 03:30:24 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:31:17 [INFO] Epoch 40 loss: 402.1598057746887; train accuracy: 0.8082570043103449; test accuracy: 0.6613 2025-09-25 03:31:17 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:32:21 [INFO] Epoch 40 loss: 462.30353832244873; train accuracy: 0.8710394965277778; test accuracy: 0.7293 2025-09-25 03:32:22 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:32:55 [INFO] Epoch 40 loss: 258.19359159469604; train accuracy: 0.8181590544871795; test accuracy: 0.5194 2025-09-25 03:32:55 [INFO] Round 40 Finish--------| 2025-09-25 03:32:55 [INFO] Model variance: mean: 0.004792487248778343, sum: 53551.0234375 2025-09-25 03:32:55 [INFO] g_protos_std: 1.0065442323684692 2025-09-25 03:33:01 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8611 2025-09-25 03:33:01 [INFO] Round 41 starts--------| 2025-09-25 03:33:01 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:34:06 [INFO] Epoch 41 loss: 477.5440640449524; train accuracy: 0.889905427631579; test accuracy: 0.7543 2025-09-25 03:34:06 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:35:01 [INFO] Epoch 41 loss: 404.9326419830322; train accuracy: 0.8288495463709677; test accuracy: 0.5987 2025-09-25 03:35:01 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:35:49 [INFO] Epoch 41 loss: 399.4892864227295; train accuracy: 0.7811153017241379; test accuracy: 0.6501 2025-09-25 03:35:49 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:36:53 [INFO] Epoch 41 loss: 452.83680391311646; train accuracy: 0.8348795572916666; test accuracy: 0.7239 2025-09-25 03:36:53 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:37:28 [INFO] Epoch 41 loss: 255.34266090393066; train accuracy: 0.8628305288461539; test accuracy: 0.5321 2025-09-25 03:37:28 [INFO] Round 41 Finish--------| 2025-09-25 03:37:28 [INFO] Model variance: mean: 0.004856766201555729, sum: 54269.26953125 2025-09-25 03:37:28 [INFO] g_protos_std: 1.0065667629241943 2025-09-25 03:37:34 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8693 2025-09-25 03:37:34 [INFO] Round 42 starts--------| 2025-09-25 03:37:34 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:38:40 [INFO] Epoch 42 loss: 466.4731798171997; train accuracy: 0.8741262335526315; test accuracy: 0.746 2025-09-25 03:38:40 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:39:33 [INFO] Epoch 42 loss: 409.65645360946655; train accuracy: 0.8156502016129032; test accuracy: 0.582 2025-09-25 03:39:33 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:40:24 [INFO] Epoch 42 loss: 400.3519616127014; train accuracy: 0.8176522090517241; test accuracy: 0.6805 2025-09-25 03:40:24 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:41:28 [INFO] Epoch 42 loss: 459.5881886482239; train accuracy: 0.84326171875; test accuracy: 0.6927 2025-09-25 03:41:28 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:42:01 [INFO] Epoch 42 loss: 258.4935073852539; train accuracy: 0.8896734775641025; test accuracy: 0.5977 2025-09-25 03:42:01 [INFO] Round 42 Finish--------| 2025-09-25 03:42:01 [INFO] Model variance: mean: 0.004919641185551882, sum: 54971.8359375 2025-09-25 03:42:01 [INFO] g_protos_std: 1.0065782070159912 2025-09-25 03:42:07 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8736 2025-09-25 03:42:07 [INFO] Round 43 starts--------| 2025-09-25 03:42:07 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:43:07 [INFO] Epoch 43 loss: 460.16670656204224; train accuracy: 0.8754111842105263; test accuracy: 0.7401 2025-09-25 03:43:07 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:43:57 [INFO] Epoch 43 loss: 407.50154876708984; train accuracy: 0.8452305947580645; test accuracy: 0.6003 2025-09-25 03:43:57 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:44:44 [INFO] Epoch 43 loss: 390.83731985092163; train accuracy: 0.853448275862069; test accuracy: 0.7312 2025-09-25 03:44:44 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:45:47 [INFO] Epoch 43 loss: 453.1836886405945; train accuracy: 0.8101128472222222; test accuracy: 0.6601 2025-09-25 03:45:47 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:46:25 [INFO] Epoch 43 loss: 258.41783571243286; train accuracy: 0.8208633814102564; test accuracy: 0.5659 2025-09-25 03:46:25 [INFO] Round 43 Finish--------| 2025-09-25 03:46:25 [INFO] Model variance: mean: 0.004983727354556322, sum: 55687.9296875 2025-09-25 03:46:25 [INFO] g_protos_std: 1.0066053867340088 2025-09-25 03:46:30 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8725 2025-09-25 03:46:30 [INFO] Round 44 starts--------| 2025-09-25 03:46:30 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:47:39 [INFO] Epoch 44 loss: 470.38891983032227; train accuracy: 0.8596576891447368; test accuracy: 0.7174 2025-09-25 03:47:39 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:48:34 [INFO] Epoch 44 loss: 404.62364292144775; train accuracy: 0.8357484879032258; test accuracy: 0.5953 2025-09-25 03:48:34 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:49:25 [INFO] Epoch 44 loss: 392.32848596572876; train accuracy: 0.8426724137931034; test accuracy: 0.6809 2025-09-25 03:49:25 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:50:31 [INFO] Epoch 44 loss: 454.34242486953735; train accuracy: 0.8871256510416666; test accuracy: 0.732 2025-09-25 03:50:31 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:51:07 [INFO] Epoch 44 loss: 252.86829233169556; train accuracy: 0.8676382211538461; test accuracy: 0.5468 2025-09-25 03:51:07 [INFO] Round 44 Finish--------| 2025-09-25 03:51:07 [INFO] Model variance: mean: 0.005045601632446051, sum: 56379.30859375 2025-09-25 03:51:07 [INFO] g_protos_std: 1.006623387336731 2025-09-25 03:51:13 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8751 2025-09-25 03:51:13 [INFO] Round 45 starts--------| 2025-09-25 03:51:13 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:52:25 [INFO] Epoch 45 loss: 473.38542461395264; train accuracy: 0.8927580180921053; test accuracy: 0.7608 2025-09-25 03:52:25 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:53:23 [INFO] Epoch 45 loss: 397.3239817619324; train accuracy: 0.8581779233870968; test accuracy: 0.6024 2025-09-25 03:53:24 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:54:15 [INFO] Epoch 45 loss: 394.826021194458; train accuracy: 0.8197063577586207; test accuracy: 0.6618 2025-09-25 03:54:16 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:55:21 [INFO] Epoch 45 loss: 447.9926223754883; train accuracy: 0.8610026041666666; test accuracy: 0.7211 2025-09-25 03:55:21 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:55:58 [INFO] Epoch 45 loss: 257.43407821655273; train accuracy: 0.8265224358974359; test accuracy: 0.5371 2025-09-25 03:55:58 [INFO] Round 45 Finish--------| 2025-09-25 03:55:58 [INFO] Model variance: mean: 0.0051056076772511005, sum: 57049.8125 2025-09-25 03:55:58 [INFO] g_protos_std: 1.0066407918930054 2025-09-25 03:56:04 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8739 2025-09-25 03:56:04 [INFO] Round 46 starts--------| 2025-09-25 03:56:04 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:57:14 [INFO] Epoch 46 loss: 461.052686214447; train accuracy: 0.8607113486842105; test accuracy: 0.7181 2025-09-25 03:57:14 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:58:13 [INFO] Epoch 46 loss: 398.60187244415283; train accuracy: 0.8230216733870968; test accuracy: 0.5959 2025-09-25 03:58:13 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:59:02 [INFO] Epoch 46 loss: 390.98410415649414; train accuracy: 0.7854929956896551; test accuracy: 0.6174 2025-09-25 03:59:02 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 04:00:06 [INFO] Epoch 46 loss: 454.557719707489; train accuracy: 0.8870442708333334; test accuracy: 0.7442 2025-09-25 04:00:06 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 04:00:41 [INFO] Epoch 46 loss: 253.33961868286133; train accuracy: 0.8876702724358975; test accuracy: 0.5707 2025-09-25 04:00:41 [INFO] Round 46 Finish--------| 2025-09-25 04:00:41 [INFO] Model variance: mean: 0.005166720598936081, sum: 57732.6875 2025-09-25 04:00:41 [INFO] g_protos_std: 1.0066605806350708 2025-09-25 04:00:46 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8736 2025-09-25 04:00:46 [INFO] Round 47 starts--------| 2025-09-25 04:00:46 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 04:01:51 [INFO] Epoch 47 loss: 461.2001085281372; train accuracy: 0.8529245476973685; test accuracy: 0.7226 2025-09-25 04:01:51 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 04:02:42 [INFO] Epoch 47 loss: 405.93613719940186; train accuracy: 0.8223286290322581; test accuracy: 0.5867 2025-09-25 04:02:42 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 04:03:33 [INFO] Epoch 47 loss: 388.28211784362793; train accuracy: 0.8556707974137931; test accuracy: 0.6954 2025-09-25 04:03:33 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 04:04:36 [INFO] Epoch 47 loss: 455.14755725860596; train accuracy: 0.8397081163194444; test accuracy: 0.7067 2025-09-25 04:04:36 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 04:05:11 [INFO] Epoch 47 loss: 252.18158102035522; train accuracy: 0.909354967948718; test accuracy: 0.5826 2025-09-25 04:05:11 [INFO] Round 47 Finish--------| 2025-09-25 04:05:11 [INFO] Model variance: mean: 0.005226518493145704, sum: 58400.8671875 2025-09-25 04:05:11 [INFO] g_protos_std: 1.006679654121399 2025-09-25 04:05:16 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8812 2025-09-25 04:05:16 [INFO] Round 48 starts--------| 2025-09-25 04:05:16 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 04:06:23 [INFO] Epoch 48 loss: 458.49150705337524; train accuracy: 0.9213610197368421; test accuracy: 0.778 2025-09-25 04:06:23 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 04:07:17 [INFO] Epoch 48 loss: 399.7122178077698; train accuracy: 0.8417338709677419; test accuracy: 0.5977 2025-09-25 04:07:17 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 04:08:09 [INFO] Epoch 48 loss: 398.46592473983765; train accuracy: 0.8468480603448276; test accuracy: 0.6736 2025-09-25 04:08:09 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 04:09:10 [INFO] Epoch 48 loss: 459.84295749664307; train accuracy: 0.8560655381944444; test accuracy: 0.7 2025-09-25 04:09:10 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 04:09:44 [INFO] Epoch 48 loss: 253.61510181427002; train accuracy: 0.8913261217948718; test accuracy: 0.5681 2025-09-25 04:09:44 [INFO] Round 48 Finish--------| 2025-09-25 04:09:44 [INFO] Model variance: mean: 0.005284780636429787, sum: 59051.8828125 2025-09-25 04:09:44 [INFO] g_protos_std: 1.0066893100738525 2025-09-25 04:09:49 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8743 2025-09-25 04:09:49 [INFO] Round 49 starts--------| 2025-09-25 04:09:49 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 04:10:55 [INFO] Epoch 49 loss: 457.09514236450195; train accuracy: 0.8955592105263158; test accuracy: 0.7452 2025-09-25 04:10:55 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 04:11:48 [INFO] Epoch 49 loss: 391.63625383377075; train accuracy: 0.8632182459677419; test accuracy: 0.6221 2025-09-25 04:11:48 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 04:12:39 [INFO] Epoch 49 loss: 387.87550163269043; train accuracy: 0.8455684267241379; test accuracy: 0.697 2025-09-25 04:12:39 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 04:13:43 [INFO] Epoch 49 loss: 452.31604862213135; train accuracy: 0.8695746527777778; test accuracy: 0.7405 2025-09-25 04:13:43 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 04:14:19 [INFO] Epoch 49 loss: 254.76968336105347; train accuracy: 0.9221254006410257; test accuracy: 0.5971 2025-09-25 04:14:19 [INFO] Round 49 Finish--------| 2025-09-25 04:14:19 [INFO] Model variance: mean: 0.005343783646821976, sum: 59711.1796875 2025-09-25 04:14:19 [INFO] g_protos_std: 1.0067161321640015 2025-09-25 04:14:24 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8823 2025-09-25 04:14:24 [INFO] Round 50 starts--------| 2025-09-25 04:14:24 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 04:15:28 [INFO] Epoch 50 loss: 461.25351095199585; train accuracy: 0.8683439555921053; test accuracy: 0.7357 2025-09-25 04:15:28 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 04:16:20 [INFO] Epoch 50 loss: 400.7408652305603; train accuracy: 0.8102948588709677; test accuracy: 0.5989 2025-09-25 04:16:20 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 04:17:12 [INFO] Epoch 50 loss: 383.137179851532; train accuracy: 0.8373518318965517; test accuracy: 0.6576 2025-09-25 04:17:12 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 04:18:15 [INFO] Epoch 50 loss: 447.24752378463745; train accuracy: 0.8171657986111112; test accuracy: 0.679 2025-09-25 04:18:15 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 04:18:50 [INFO] Epoch 50 loss: 251.31486415863037; train accuracy: 0.8716446314102564; test accuracy: 0.5536 2025-09-25 04:18:51 [INFO] Round 50 Finish--------| 2025-09-25 04:18:51 [INFO] Model variance: mean: 0.005401161499321461, sum: 60352.31640625 2025-09-25 04:18:51 [INFO] g_protos_std: 1.006730318069458 2025-09-25 04:18:57 [INFO] The test accuracy (with prototype) of OneShotOurs+Ensemble: 0.8769 2025-09-25 00:25:10 [INFO] Load config from ./configs/CIFAR10_alpha0.05.yaml 2025-09-25 00:25:10 [INFO] config: {'exp_name': 'CIFAR10_alpha0.05', 'dataset': {'data_name': 'CIFAR10', 'root_path': 'H:/codes/dataset', 'train_batch_size': 512, 'test_batch_size': 256, 'channels': 3, 'num_classes': 10, 'image_size': 32}, 'distribution': {'type': 'dirichlet', 'label_num_per_client': 2, 'alpha': 0.05}, 'client': {'num_clients': 5}, 'server': {'num_rounds': 300, 'frac_clients': 1.0, 'lr': 0.05, 'local_epochs': 1, 'optimizer': 'sgd', 'momentum': 0.9, 'weight_decay': 0.0001, 'loss_name': 'ce', 'model_name': 'resnet18', 'aggregated_by_datasize': True, 'lr_decay_per_round': 0.998}, 'device': 'cuda:0', 'checkpoint': {'save_path': './checkpoints/', 'save_freq': 5, 'result_file': 'CIFAR10_results.yaml'}, 'pretrain': {'lr': 0.01, 'epoch': 70, 'model_path': './pretrain/', 'momentum': 0.9, 'weight_decay': 0.0001, 'model_name': 'resnet18', 'model_file_name': 'resnet18-f37072fd.pth'}, 'DBCD': {'alpha_l_pa': 1, 'alpha_l_pb': 1, 'alpha_l_pc': 0.0, 'Beta_alpha': 0.2, 'unsup_method': 'infonce', 'contrastive_temperature': 0.5, 'encoder_epoch': 40, 'projector_epoch': 10, 'use_pretrain': False, 'aug_batch_size': 512, 'encoder_lr': 0.03, 'cls_optimizer': 'sgd', 'cls_lr': 0.05, 'supcon_temp': 0.07, 'super_gr': 100, 'aux_with_public': True}, 'etf': {'loss_name': 'ce'}, 'visualization': {'interval': 5, 'save_path': 'visualization/resnet18', 'vis_size': 16}, 'resume': True, 'resume_best': False, 'seed': 1} 2025-09-25 00:25:12 [INFO] Dataset CIFAR10 loaded 2025-09-25 00:25:12 [INFO] Dataset index dict loaded from preprocessed_data/CIFAR10.pt 2025-09-25 00:25:13 [INFO] OneshotOursV5 with Decoupled Representation and Classifier Learning (DRCL) 2025-09-25 00:25:13 [INFO] Initialized fixed anchors with shape: torch.Size([10, 512]) 2025-09-25 00:25:13 [INFO] Round 0 starts--------| 2025-09-25 00:25:13 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:25:21 [INFO] generating sample per sample 2025-09-25 00:26:11 [INFO] Epoch 0 loss: 646.9071521759033; train accuracy: 0.22518184267241378; test accuracy: 0.1353 2025-09-25 00:26:12 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:26:14 [INFO] generating sample per sample 2025-09-25 00:26:26 [INFO] Epoch 0 loss: 124.8851842880249; train accuracy: 0.7411358173076923; test accuracy: 0.1102 2025-09-25 00:26:27 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:26:28 [INFO] generating sample per sample 2025-09-25 00:26:39 [INFO] Epoch 0 loss: 129.75395965576172; train accuracy: 0.8488991477272727; test accuracy: 0.1 2025-09-25 00:26:39 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:26:47 [INFO] generating sample per sample 2025-09-25 00:27:25 [INFO] Epoch 0 loss: 520.229941368103; train accuracy: 0.28233045212765956; test accuracy: 0.1454 2025-09-25 00:27:25 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:27:29 [INFO] generating sample per sample 2025-09-25 00:27:54 [INFO] Epoch 0 loss: 325.95946311950684; train accuracy: 0.528515625; test accuracy: 0.1669 2025-09-25 00:27:54 [INFO] Round 0 Finish--------| 2025-09-25 00:27:54 [INFO] Model variance: mean: 0.0005079971742816269, sum: 5676.3359375 2025-09-25 00:27:54 [INFO] g_protos_std: 1.0052975416183472 2025-09-25 00:27:59 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.29 2025-09-25 00:27:59 [INFO] Round 1 starts--------| 2025-09-25 00:27:59 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:28:45 [INFO] Epoch 1 loss: 595.7823104858398; train accuracy: 0.23141163793103448; test accuracy: 0.1413 2025-09-25 00:28:45 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:28:58 [INFO] Epoch 1 loss: 116.11574268341064; train accuracy: 0.8025841346153846; test accuracy: 0.1513 2025-09-25 00:28:58 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:29:08 [INFO] Epoch 1 loss: 99.29454040527344; train accuracy: 0.8462357954545454; test accuracy: 0.1 2025-09-25 00:29:08 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:29:46 [INFO] Epoch 1 loss: 478.31923389434814; train accuracy: 0.4045046542553192; test accuracy: 0.1995 2025-09-25 00:29:46 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:30:10 [INFO] Epoch 1 loss: 286.64366722106934; train accuracy: 0.6714192708333333; test accuracy: 0.2123 2025-09-25 00:30:10 [INFO] Round 1 Finish--------| 2025-09-25 00:30:10 [INFO] Model variance: mean: 0.0006392741925083101, sum: 7143.21875 2025-09-25 00:30:10 [INFO] g_protos_std: 1.0042426586151123 2025-09-25 00:30:15 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.318 2025-09-25 00:30:15 [INFO] Round 2 starts--------| 2025-09-25 00:30:15 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:30:59 [INFO] Epoch 2 loss: 580.1330299377441; train accuracy: 0.3514614762931034; test accuracy: 0.2136 2025-09-25 00:30:59 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:31:10 [INFO] Epoch 2 loss: 111.85742664337158; train accuracy: 0.8359375; test accuracy: 0.1706 2025-09-25 00:31:10 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:31:21 [INFO] Epoch 2 loss: 97.93153953552246; train accuracy: 0.849609375; test accuracy: 0.1 2025-09-25 00:31:21 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:31:59 [INFO] Epoch 2 loss: 468.6472873687744; train accuracy: 0.4566572473404255; test accuracy: 0.2342 2025-09-25 00:31:59 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:32:26 [INFO] Epoch 2 loss: 280.48736667633057; train accuracy: 0.47890625; test accuracy: 0.1506 2025-09-25 00:32:26 [INFO] Round 2 Finish--------| 2025-09-25 00:32:26 [INFO] Model variance: mean: 0.0007500999490730464, sum: 8381.5810546875 2025-09-25 00:32:26 [INFO] g_protos_std: 1.0030953884124756 2025-09-25 00:32:31 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.3416 2025-09-25 00:32:31 [INFO] Round 3 starts--------| 2025-09-25 00:32:31 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:33:19 [INFO] Epoch 3 loss: 563.1094369888306; train accuracy: 0.39914466594827586; test accuracy: 0.2383 2025-09-25 00:33:19 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:33:32 [INFO] Epoch 3 loss: 110.36002349853516; train accuracy: 0.8279747596153846; test accuracy: 0.1412 2025-09-25 00:33:32 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:33:43 [INFO] Epoch 3 loss: 97.34299278259277; train accuracy: 0.8480113636363636; test accuracy: 0.1012 2025-09-25 00:33:43 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:34:24 [INFO] Epoch 3 loss: 456.4465799331665; train accuracy: 0.3829371675531915; test accuracy: 0.2064 2025-09-25 00:34:24 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:34:51 [INFO] Epoch 3 loss: 274.2738857269287; train accuracy: 0.6869140625; test accuracy: 0.2153 2025-09-25 00:34:51 [INFO] Round 3 Finish--------| 2025-09-25 00:34:51 [INFO] Model variance: mean: 0.0008551920764148235, sum: 9555.875 2025-09-25 00:34:51 [INFO] g_protos_std: 1.0018830299377441 2025-09-25 00:34:56 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.3756 2025-09-25 00:34:56 [INFO] Round 4 starts--------| 2025-09-25 00:34:56 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:35:42 [INFO] Epoch 4 loss: 550.1982498168945; train accuracy: 0.3894463900862069; test accuracy: 0.2404 2025-09-25 00:35:42 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:35:54 [INFO] Epoch 4 loss: 109.13939762115479; train accuracy: 0.7506009615384616; test accuracy: 0.1129 2025-09-25 00:35:54 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:36:04 [INFO] Epoch 4 loss: 97.00987148284912; train accuracy: 0.8524502840909091; test accuracy: 0.1029 2025-09-25 00:36:04 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:36:44 [INFO] Epoch 4 loss: 449.4980802536011; train accuracy: 0.5261801861702128; test accuracy: 0.2647 2025-09-25 00:36:44 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:37:09 [INFO] Epoch 4 loss: 269.13807487487793; train accuracy: 0.603515625; test accuracy: 0.1886 2025-09-25 00:37:09 [INFO] Round 4 Finish--------| 2025-09-25 00:37:09 [INFO] Model variance: mean: 0.0009483327739872038, sum: 10596.625 2025-09-25 00:37:09 [INFO] g_protos_std: 1.0006473064422607 2025-09-25 00:37:14 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.3723 2025-09-25 00:37:14 [INFO] Round 5 starts--------| 2025-09-25 00:37:14 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:38:01 [INFO] Epoch 5 loss: 532.7974834442139; train accuracy: 0.5491311961206896; test accuracy: 0.3324 2025-09-25 00:38:02 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:38:14 [INFO] Epoch 5 loss: 110.06637763977051; train accuracy: 0.5811298076923077; test accuracy: 0.1433 2025-09-25 00:38:15 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:38:26 [INFO] Epoch 5 loss: 96.63896179199219; train accuracy: 0.8419744318181818; test accuracy: 0.1227 2025-09-25 00:38:27 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:39:07 [INFO] Epoch 5 loss: 445.91115379333496; train accuracy: 0.5024102393617021; test accuracy: 0.2578 2025-09-25 00:39:07 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:39:35 [INFO] Epoch 5 loss: 268.5579528808594; train accuracy: 0.6345052083333333; test accuracy: 0.2059 2025-09-25 00:39:35 [INFO] Round 5 Finish--------| 2025-09-25 00:39:35 [INFO] Model variance: mean: 0.0010344629408791661, sum: 11559.0390625 2025-09-25 00:39:35 [INFO] g_protos_std: 0.9994282126426697 2025-09-25 00:39:40 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.4201 2025-09-25 00:39:40 [INFO] Round 6 starts--------| 2025-09-25 00:39:40 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:40:31 [INFO] Epoch 6 loss: 526.1961727142334; train accuracy: 0.6549030172413793; test accuracy: 0.3933 2025-09-25 00:40:31 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:40:43 [INFO] Epoch 6 loss: 109.44108009338379; train accuracy: 0.8384915865384616; test accuracy: 0.1604 2025-09-25 00:40:43 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:40:55 [INFO] Epoch 6 loss: 96.36672019958496; train accuracy: 0.8425071022727273; test accuracy: 0.1275 2025-09-25 00:40:55 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:41:33 [INFO] Epoch 6 loss: 438.5244674682617; train accuracy: 0.36319813829787234; test accuracy: 0.1924 2025-09-25 00:41:33 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:42:00 [INFO] Epoch 6 loss: 266.7634344100952; train accuracy: 0.5126302083333333; test accuracy: 0.1629 2025-09-25 00:42:00 [INFO] Round 6 Finish--------| 2025-09-25 00:42:00 [INFO] Model variance: mean: 0.0011159642599523067, sum: 12469.73046875 2025-09-25 00:42:00 [INFO] g_protos_std: 0.998188853263855 2025-09-25 00:42:05 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.4352 2025-09-25 00:42:05 [INFO] Round 7 starts--------| 2025-09-25 00:42:05 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:42:54 [INFO] Epoch 7 loss: 520.1132493019104; train accuracy: 0.7170999461206896; test accuracy: 0.4289 2025-09-25 00:42:54 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:43:07 [INFO] Epoch 7 loss: 109.15753555297852; train accuracy: 0.7208533653846154; test accuracy: 0.1024 2025-09-25 00:43:07 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:43:19 [INFO] Epoch 7 loss: 96.91306018829346; train accuracy: 0.8481889204545454; test accuracy: 0.1 2025-09-25 00:43:19 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:43:57 [INFO] Epoch 7 loss: 425.7027225494385; train accuracy: 0.5635388962765957; test accuracy: 0.28 2025-09-25 00:43:57 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:44:23 [INFO] Epoch 7 loss: 264.496919631958; train accuracy: 0.6936197916666667; test accuracy: 0.2199 2025-09-25 00:44:23 [INFO] Round 7 Finish--------| 2025-09-25 00:44:23 [INFO] Model variance: mean: 0.0011960125993937254, sum: 13364.1875 2025-09-25 00:44:23 [INFO] g_protos_std: 0.9969254732131958 2025-09-25 00:44:28 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.4564 2025-09-25 00:44:28 [INFO] Round 8 starts--------| 2025-09-25 00:44:28 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:45:13 [INFO] Epoch 8 loss: 507.6071376800537; train accuracy: 0.6969625538793104; test accuracy: 0.4151 2025-09-25 00:45:13 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:45:27 [INFO] Epoch 8 loss: 108.36062812805176; train accuracy: 0.7807992788461539; test accuracy: 0.1678 2025-09-25 00:45:27 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:45:38 [INFO] Epoch 8 loss: 96.34105396270752; train accuracy: 0.8506747159090909; test accuracy: 0.1019 2025-09-25 00:45:38 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:46:16 [INFO] Epoch 8 loss: 422.03991317749023; train accuracy: 0.6444065824468085; test accuracy: 0.3271 2025-09-25 00:46:16 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:46:42 [INFO] Epoch 8 loss: 260.10897064208984; train accuracy: 0.7292317708333333; test accuracy: 0.2372 2025-09-25 00:46:42 [INFO] Round 8 Finish--------| 2025-09-25 00:46:42 [INFO] Model variance: mean: 0.0012704672990366817, sum: 14196.140625 2025-09-25 00:46:42 [INFO] g_protos_std: 0.9957078695297241 2025-09-25 00:46:47 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.4548 2025-09-25 00:46:47 [INFO] Round 9 starts--------| 2025-09-25 00:46:47 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:47:34 [INFO] Epoch 9 loss: 505.006630897522; train accuracy: 0.45494342672413796; test accuracy: 0.2754 2025-09-25 00:47:34 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:47:47 [INFO] Epoch 9 loss: 107.16899871826172; train accuracy: 0.8487079326923077; test accuracy: 0.1762 2025-09-25 00:47:47 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:47:57 [INFO] Epoch 9 loss: 96.25245475769043; train accuracy: 0.8389559659090909; test accuracy: 0.1304 2025-09-25 00:47:57 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:48:34 [INFO] Epoch 9 loss: 417.0132403373718; train accuracy: 0.5655335771276596; test accuracy: 0.2937 2025-09-25 00:48:34 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:48:59 [INFO] Epoch 9 loss: 256.08405780792236; train accuracy: 0.8005859375; test accuracy: 0.2552 2025-09-25 00:48:59 [INFO] Round 9 Finish--------| 2025-09-25 00:48:59 [INFO] Model variance: mean: 0.001342007308267057, sum: 14995.525390625 2025-09-25 00:48:59 [INFO] g_protos_std: 0.9944257736206055 2025-09-25 00:49:04 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.4907 2025-09-25 00:49:04 [INFO] Round 10 starts--------| 2025-09-25 00:49:04 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:49:48 [INFO] Epoch 10 loss: 496.0765790939331; train accuracy: 0.7325565732758621; test accuracy: 0.4304 2025-09-25 00:49:48 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:50:01 [INFO] Epoch 10 loss: 107.88826274871826; train accuracy: 0.8640324519230769; test accuracy: 0.1602 2025-09-25 00:50:01 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:50:12 [INFO] Epoch 10 loss: 96.1863489151001; train accuracy: 0.853515625; test accuracy: 0.1287 2025-09-25 00:50:13 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:50:50 [INFO] Epoch 10 loss: 409.032808303833; train accuracy: 0.4380402260638298; test accuracy: 0.2281 2025-09-25 00:50:51 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:51:17 [INFO] Epoch 10 loss: 256.8110818862915; train accuracy: 0.7248697916666667; test accuracy: 0.2398 2025-09-25 00:51:17 [INFO] Round 10 Finish--------| 2025-09-25 00:51:17 [INFO] Model variance: mean: 0.0014114177320152521, sum: 15771.11328125 2025-09-25 00:51:17 [INFO] g_protos_std: 0.9931489825248718 2025-09-25 00:51:23 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.4986 2025-09-25 00:51:23 [INFO] Round 11 starts--------| 2025-09-25 00:51:23 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:52:11 [INFO] Epoch 11 loss: 485.61362409591675; train accuracy: 0.6903960129310345; test accuracy: 0.4051 2025-09-25 00:52:11 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:52:22 [INFO] Epoch 11 loss: 107.97449254989624; train accuracy: 0.7815504807692307; test accuracy: 0.1251 2025-09-25 00:52:22 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:52:33 [INFO] Epoch 11 loss: 95.96856307983398; train accuracy: 0.8501420454545454; test accuracy: 0.1007 2025-09-25 00:52:33 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:53:14 [INFO] Epoch 11 loss: 405.19797372817993; train accuracy: 0.6061336436170213; test accuracy: 0.2938 2025-09-25 00:53:14 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:53:41 [INFO] Epoch 11 loss: 255.8056125640869; train accuracy: 0.7231770833333333; test accuracy: 0.2302 2025-09-25 00:53:41 [INFO] Round 11 Finish--------| 2025-09-25 00:53:41 [INFO] Model variance: mean: 0.0014786066021770239, sum: 16521.87890625 2025-09-25 00:53:41 [INFO] g_protos_std: 0.9918451309204102 2025-09-25 00:53:46 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5054 2025-09-25 00:53:46 [INFO] Round 12 starts--------| 2025-09-25 00:53:46 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:54:34 [INFO] Epoch 12 loss: 481.83064317703247; train accuracy: 0.7170662715517241; test accuracy: 0.4185 2025-09-25 00:54:34 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:54:47 [INFO] Epoch 12 loss: 106.45923852920532; train accuracy: 0.9089543269230769; test accuracy: 0.1814 2025-09-25 00:54:47 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:54:58 [INFO] Epoch 12 loss: 96.41411781311035; train accuracy: 0.849609375; test accuracy: 0.1027 2025-09-25 00:54:58 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:55:39 [INFO] Epoch 12 loss: 399.2877378463745; train accuracy: 0.6335189494680851; test accuracy: 0.3202 2025-09-25 00:55:39 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:56:05 [INFO] Epoch 12 loss: 252.55729007720947; train accuracy: 0.8013020833333333; test accuracy: 0.2723 2025-09-25 00:56:05 [INFO] Round 12 Finish--------| 2025-09-25 00:56:05 [INFO] Model variance: mean: 0.0015453429659828544, sum: 17267.587890625 2025-09-25 00:56:05 [INFO] g_protos_std: 0.9905173778533936 2025-09-25 00:56:10 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5216 2025-09-25 00:56:10 [INFO] Round 13 starts--------| 2025-09-25 00:56:10 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:56:57 [INFO] Epoch 13 loss: 481.0616703033447; train accuracy: 0.7034617456896551; test accuracy: 0.4149 2025-09-25 00:56:57 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:57:10 [INFO] Epoch 13 loss: 106.44441032409668; train accuracy: 0.8134014423076923; test accuracy: 0.1383 2025-09-25 00:57:10 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:57:22 [INFO] Epoch 13 loss: 95.92375087738037; train accuracy: 0.8515625; test accuracy: 0.12 2025-09-25 00:57:22 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:58:01 [INFO] Epoch 13 loss: 393.0531015396118; train accuracy: 0.4615192819148936; test accuracy: 0.2379 2025-09-25 00:58:01 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:58:25 [INFO] Epoch 13 loss: 251.80434894561768; train accuracy: 0.8245442708333334; test accuracy: 0.2741 2025-09-25 00:58:25 [INFO] Round 13 Finish--------| 2025-09-25 00:58:25 [INFO] Model variance: mean: 0.0016078392509371042, sum: 17965.91796875 2025-09-25 00:58:25 [INFO] g_protos_std: 0.9891825914382935 2025-09-25 00:58:30 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5213 2025-09-25 00:58:30 [INFO] Round 14 starts--------| 2025-09-25 00:58:30 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:59:16 [INFO] Epoch 14 loss: 477.36272382736206; train accuracy: 0.6746026400862069; test accuracy: 0.4003 2025-09-25 00:59:16 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:59:27 [INFO] Epoch 14 loss: 106.59279537200928; train accuracy: 0.8614783653846154; test accuracy: 0.1596 2025-09-25 00:59:27 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:59:38 [INFO] Epoch 14 loss: 95.79927730560303; train accuracy: 0.8519176136363636; test accuracy: 0.1028 2025-09-25 00:59:38 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:00:16 [INFO] Epoch 14 loss: 393.43376779556274; train accuracy: 0.6851728723404256; test accuracy: 0.3477 2025-09-25 01:00:16 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:00:41 [INFO] Epoch 14 loss: 249.71774911880493; train accuracy: 0.74921875; test accuracy: 0.2484 2025-09-25 01:00:41 [INFO] Round 14 Finish--------| 2025-09-25 01:00:41 [INFO] Model variance: mean: 0.0016674906946718693, sum: 18632.4609375 2025-09-25 01:00:41 [INFO] g_protos_std: 0.9878265261650085 2025-09-25 01:00:46 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5363 2025-09-25 01:00:46 [INFO] Round 15 starts--------| 2025-09-25 01:00:46 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:01:30 [INFO] Epoch 15 loss: 471.9992423057556; train accuracy: 0.7688240840517241; test accuracy: 0.4519 2025-09-25 01:01:31 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:01:43 [INFO] Epoch 15 loss: 106.66909313201904; train accuracy: 0.7977764423076923; test accuracy: 0.171 2025-09-25 01:01:44 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:01:54 [INFO] Epoch 15 loss: 95.76245212554932; train accuracy: 0.8483664772727273; test accuracy: 0.1 2025-09-25 01:01:55 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:02:35 [INFO] Epoch 15 loss: 397.96097135543823; train accuracy: 0.711186835106383; test accuracy: 0.3592 2025-09-25 01:02:35 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:03:01 [INFO] Epoch 15 loss: 249.71673250198364; train accuracy: 0.8262369791666667; test accuracy: 0.2745 2025-09-25 01:03:02 [INFO] Round 15 Finish--------| 2025-09-25 01:03:02 [INFO] Model variance: mean: 0.0017249807715415955, sum: 19274.8515625 2025-09-25 01:03:02 [INFO] g_protos_std: 0.9864801168441772 2025-09-25 01:03:07 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5349 2025-09-25 01:03:07 [INFO] Round 16 starts--------| 2025-09-25 01:03:07 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:03:53 [INFO] Epoch 16 loss: 465.53958654403687; train accuracy: 0.7700363685344828; test accuracy: 0.4512 2025-09-25 01:03:53 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:04:05 [INFO] Epoch 16 loss: 106.01992177963257; train accuracy: 0.8921274038461539; test accuracy: 0.1826 2025-09-25 01:04:05 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:04:16 [INFO] Epoch 16 loss: 96.42267322540283; train accuracy: 0.8465909090909091; test accuracy: 0.1001 2025-09-25 01:04:16 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:04:55 [INFO] Epoch 16 loss: 389.08264350891113; train accuracy: 0.8101313164893617; test accuracy: 0.407 2025-09-25 01:04:55 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:05:20 [INFO] Epoch 16 loss: 248.65579414367676; train accuracy: 0.8076171875; test accuracy: 0.2708 2025-09-25 01:05:20 [INFO] Round 16 Finish--------| 2025-09-25 01:05:20 [INFO] Model variance: mean: 0.0017852582968771458, sum: 19948.390625 2025-09-25 01:05:20 [INFO] g_protos_std: 0.9850771427154541 2025-09-25 01:05:25 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5385 2025-09-25 01:05:25 [INFO] Round 17 starts--------| 2025-09-25 01:05:25 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:06:13 [INFO] Epoch 17 loss: 459.5328664779663; train accuracy: 0.8272831357758621; test accuracy: 0.4884 2025-09-25 01:06:13 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:06:25 [INFO] Epoch 17 loss: 105.82906293869019; train accuracy: 0.9103064903846154; test accuracy: 0.1833 2025-09-25 01:06:25 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:06:35 [INFO] Epoch 17 loss: 95.56725120544434; train accuracy: 0.8492542613636364; test accuracy: 0.1012 2025-09-25 01:06:35 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:07:13 [INFO] Epoch 17 loss: 381.5537300109863; train accuracy: 0.7736037234042553; test accuracy: 0.3858 2025-09-25 01:07:13 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:07:37 [INFO] Epoch 17 loss: 247.40458345413208; train accuracy: 0.8521484375; test accuracy: 0.3063 2025-09-25 01:07:37 [INFO] Round 17 Finish--------| 2025-09-25 01:07:37 [INFO] Model variance: mean: 0.0018417504616081715, sum: 20579.630859375 2025-09-25 01:07:37 [INFO] g_protos_std: 0.9836576581001282 2025-09-25 01:07:41 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5529 2025-09-25 01:07:41 [INFO] Round 18 starts--------| 2025-09-25 01:07:41 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:08:28 [INFO] Epoch 18 loss: 464.23921394348145; train accuracy: 0.782159213362069; test accuracy: 0.4602 2025-09-25 01:08:28 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:08:41 [INFO] Epoch 18 loss: 106.39019012451172; train accuracy: 0.7436899038461539; test accuracy: 0.1121 2025-09-25 01:08:41 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:08:51 [INFO] Epoch 18 loss: 95.13694381713867; train accuracy: 0.8512073863636364; test accuracy: 0.1046 2025-09-25 01:08:51 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:09:32 [INFO] Epoch 18 loss: 382.9160690307617; train accuracy: 0.7505402260638298; test accuracy: 0.3749 2025-09-25 01:09:32 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:09:58 [INFO] Epoch 18 loss: 246.61095523834229; train accuracy: 0.8078776041666667; test accuracy: 0.269 2025-09-25 01:09:58 [INFO] Round 18 Finish--------| 2025-09-25 01:09:58 [INFO] Model variance: mean: 0.001896047149784863, sum: 21186.33984375 2025-09-25 01:09:58 [INFO] g_protos_std: 0.9822667837142944 2025-09-25 01:10:03 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5434 2025-09-25 01:10:03 [INFO] Round 19 starts--------| 2025-09-25 01:10:03 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:10:49 [INFO] Epoch 19 loss: 459.4350390434265; train accuracy: 0.7459253771551724; test accuracy: 0.4367 2025-09-25 01:10:49 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:11:00 [INFO] Epoch 19 loss: 107.29415130615234; train accuracy: 0.8402944711538461; test accuracy: 0.1737 2025-09-25 01:11:00 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:11:11 [INFO] Epoch 19 loss: 95.17007637023926; train accuracy: 0.8520951704545454; test accuracy: 0.1044 2025-09-25 01:11:11 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:11:49 [INFO] Epoch 19 loss: 379.1402802467346; train accuracy: 0.8179438164893617; test accuracy: 0.4053 2025-09-25 01:11:49 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:12:15 [INFO] Epoch 19 loss: 245.63071537017822; train accuracy: 0.81015625; test accuracy: 0.2887 2025-09-25 01:12:15 [INFO] Round 19 Finish--------| 2025-09-25 01:12:15 [INFO] Model variance: mean: 0.0019492715364322066, sum: 21781.06640625 2025-09-25 01:12:15 [INFO] g_protos_std: 0.9808295965194702 2025-09-25 01:12:20 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5557 2025-09-25 01:12:20 [INFO] Round 20 starts--------| 2025-09-25 01:12:20 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:13:06 [INFO] Epoch 20 loss: 456.9599995613098; train accuracy: 0.8048895474137931; test accuracy: 0.4713 2025-09-25 01:13:06 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:13:18 [INFO] Epoch 20 loss: 108.5986328125; train accuracy: 0.8628305288461539; test accuracy: 0.157 2025-09-25 01:13:19 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:13:30 [INFO] Epoch 20 loss: 95.24473285675049; train accuracy: 0.8501420454545454; test accuracy: 0.102 2025-09-25 01:13:31 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:14:11 [INFO] Epoch 20 loss: 373.2631630897522; train accuracy: 0.841547539893617; test accuracy: 0.4223 2025-09-25 01:14:11 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:14:36 [INFO] Epoch 20 loss: 244.01295852661133; train accuracy: 0.8165364583333333; test accuracy: 0.2679 2025-09-25 01:14:36 [INFO] Round 20 Finish--------| 2025-09-25 01:14:36 [INFO] Model variance: mean: 0.0020010333973914385, sum: 22359.451171875 2025-09-25 01:14:36 [INFO] g_protos_std: 0.9794149994850159 2025-09-25 01:14:41 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5867 2025-09-25 01:14:41 [INFO] Round 21 starts--------| 2025-09-25 01:14:41 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:15:28 [INFO] Epoch 21 loss: 457.1314663887024; train accuracy: 0.7475417564655172; test accuracy: 0.4348 2025-09-25 01:15:28 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:15:40 [INFO] Epoch 21 loss: 106.75461387634277; train accuracy: 0.9173677884615384; test accuracy: 0.1832 2025-09-25 01:15:40 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:15:52 [INFO] Epoch 21 loss: 94.9313735961914; train accuracy: 0.84765625; test accuracy: 0.136 2025-09-25 01:15:52 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:16:33 [INFO] Epoch 21 loss: 368.5571746826172; train accuracy: 0.8306599069148937; test accuracy: 0.4178 2025-09-25 01:16:33 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:16:57 [INFO] Epoch 21 loss: 246.1493101119995; train accuracy: 0.816015625; test accuracy: 0.3004 2025-09-25 01:16:57 [INFO] Round 21 Finish--------| 2025-09-25 01:16:57 [INFO] Model variance: mean: 0.002052808878943324, sum: 22937.98828125 2025-09-25 01:16:57 [INFO] g_protos_std: 0.977981448173523 2025-09-25 01:17:02 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5847 2025-09-25 01:17:02 [INFO] Round 22 starts--------| 2025-09-25 01:17:02 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:17:48 [INFO] Epoch 22 loss: 453.7359342575073; train accuracy: 0.7655239762931034; test accuracy: 0.4492 2025-09-25 01:17:48 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:18:02 [INFO] Epoch 22 loss: 107.11192274093628; train accuracy: 0.8372896634615384; test accuracy: 0.1773 2025-09-25 01:18:02 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:18:13 [INFO] Epoch 22 loss: 94.93793773651123; train accuracy: 0.8487215909090909; test accuracy: 0.1031 2025-09-25 01:18:13 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:18:51 [INFO] Epoch 22 loss: 376.2215232849121; train accuracy: 0.7258560505319149; test accuracy: 0.3617 2025-09-25 01:18:51 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:19:14 [INFO] Epoch 22 loss: 241.68733882904053; train accuracy: 0.7947916666666667; test accuracy: 0.2865 2025-09-25 01:19:14 [INFO] Round 22 Finish--------| 2025-09-25 01:19:14 [INFO] Model variance: mean: 0.0021031987853348255, sum: 23501.041015625 2025-09-25 01:19:14 [INFO] g_protos_std: 0.9765297174453735 2025-09-25 01:19:19 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5765 2025-09-25 01:19:19 [INFO] Round 23 starts--------| 2025-09-25 01:19:19 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:20:06 [INFO] Epoch 23 loss: 448.88222646713257; train accuracy: 0.8495083512931034; test accuracy: 0.4973 2025-09-25 01:20:06 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:20:18 [INFO] Epoch 23 loss: 105.56383609771729; train accuracy: 0.8637319711538461; test accuracy: 0.1538 2025-09-25 01:20:18 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:20:29 [INFO] Epoch 23 loss: 95.02266883850098; train accuracy: 0.8600852272727273; test accuracy: 0.1215 2025-09-25 01:20:29 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:21:07 [INFO] Epoch 23 loss: 369.1491208076477; train accuracy: 0.8703041888297872; test accuracy: 0.4313 2025-09-25 01:21:07 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:21:33 [INFO] Epoch 23 loss: 238.13538265228271; train accuracy: 0.826171875; test accuracy: 0.2748 2025-09-25 01:21:33 [INFO] Round 23 Finish--------| 2025-09-25 01:21:33 [INFO] Model variance: mean: 0.0021526627242565155, sum: 24053.75 2025-09-25 01:21:33 [INFO] g_protos_std: 0.9750655889511108 2025-09-25 01:21:38 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5955 2025-09-25 01:21:38 [INFO] Round 24 starts--------| 2025-09-25 01:21:38 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:22:25 [INFO] Epoch 24 loss: 443.35677766799927; train accuracy: 0.8285964439655172; test accuracy: 0.4868 2025-09-25 01:22:25 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:22:40 [INFO] Epoch 24 loss: 106.32479572296143; train accuracy: 0.8383413461538461; test accuracy: 0.144 2025-09-25 01:22:40 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:22:51 [INFO] Epoch 24 loss: 94.8365650177002; train accuracy: 0.8254616477272727; test accuracy: 0.131 2025-09-25 01:22:51 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:23:27 [INFO] Epoch 24 loss: 370.48194122314453; train accuracy: 0.831781914893617; test accuracy: 0.4149 2025-09-25 01:23:27 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:23:53 [INFO] Epoch 24 loss: 239.54052066802979; train accuracy: 0.7300130208333333; test accuracy: 0.2549 2025-09-25 01:23:53 [INFO] Round 24 Finish--------| 2025-09-25 01:23:53 [INFO] Model variance: mean: 0.0022004740312695503, sum: 24587.9921875 2025-09-25 01:23:53 [INFO] g_protos_std: 0.9736233949661255 2025-09-25 01:23:58 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5976 2025-09-25 01:23:58 [INFO] Round 25 starts--------| 2025-09-25 01:23:58 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:24:45 [INFO] Epoch 25 loss: 443.54913330078125; train accuracy: 0.8203461745689655; test accuracy: 0.4811 2025-09-25 01:24:46 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:24:59 [INFO] Epoch 25 loss: 105.78928232192993; train accuracy: 0.7231069711538461; test accuracy: 0.1628 2025-09-25 01:24:59 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:25:11 [INFO] Epoch 25 loss: 94.77082633972168; train accuracy: 0.8465909090909091; test accuracy: 0.1 2025-09-25 01:25:12 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:25:51 [INFO] Epoch 25 loss: 366.7890272140503; train accuracy: 0.8519365026595744; test accuracy: 0.4234 2025-09-25 01:25:52 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:26:16 [INFO] Epoch 25 loss: 238.03233766555786; train accuracy: 0.8779947916666667; test accuracy: 0.309 2025-09-25 01:26:17 [INFO] Round 25 Finish--------| 2025-09-25 01:26:17 [INFO] Model variance: mean: 0.0022468767128884792, sum: 25106.4921875 2025-09-25 01:26:17 [INFO] g_protos_std: 0.9721634984016418 2025-09-25 01:26:22 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6033 2025-09-25 01:26:22 [INFO] Round 26 starts--------| 2025-09-25 01:26:22 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:27:09 [INFO] Epoch 26 loss: 436.9776773452759; train accuracy: 0.8812297952586207; test accuracy: 0.5155 2025-09-25 01:27:09 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:27:22 [INFO] Epoch 26 loss: 106.0999207496643; train accuracy: 0.8832632211538461; test accuracy: 0.1721 2025-09-25 01:27:22 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:27:31 [INFO] Epoch 26 loss: 94.61460781097412; train accuracy: 0.6962002840909091; test accuracy: 0.1157 2025-09-25 01:27:31 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:28:10 [INFO] Epoch 26 loss: 366.66863441467285; train accuracy: 0.7432263962765957; test accuracy: 0.3734 2025-09-25 01:28:10 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:28:36 [INFO] Epoch 26 loss: 240.26737117767334; train accuracy: 0.7404296875; test accuracy: 0.2579 2025-09-25 01:28:36 [INFO] Round 26 Finish--------| 2025-09-25 01:28:36 [INFO] Model variance: mean: 0.0022932481952011585, sum: 25624.64453125 2025-09-25 01:28:36 [INFO] g_protos_std: 0.9707149863243103 2025-09-25 01:28:41 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5998 2025-09-25 01:28:41 [INFO] Round 27 starts--------| 2025-09-25 01:28:41 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:29:27 [INFO] Epoch 27 loss: 439.32049036026; train accuracy: 0.8615638469827587; test accuracy: 0.5052 2025-09-25 01:29:27 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:29:39 [INFO] Epoch 27 loss: 105.6183409690857; train accuracy: 0.8553185096153846; test accuracy: 0.1783 2025-09-25 01:29:39 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:29:50 [INFO] Epoch 27 loss: 94.77261734008789; train accuracy: 0.8519176136363636; test accuracy: 0.1036 2025-09-25 01:29:50 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:30:28 [INFO] Epoch 27 loss: 357.4094591140747; train accuracy: 0.8668550531914894; test accuracy: 0.4294 2025-09-25 01:30:28 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:30:52 [INFO] Epoch 27 loss: 239.45450973510742; train accuracy: 0.8317708333333333; test accuracy: 0.3187 2025-09-25 01:30:52 [INFO] Round 27 Finish--------| 2025-09-25 01:30:52 [INFO] Model variance: mean: 0.0023405710235238075, sum: 26153.427734375 2025-09-25 01:30:52 [INFO] g_protos_std: 0.9692422151565552 2025-09-25 01:30:58 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6159 2025-09-25 01:30:58 [INFO] Round 28 starts--------| 2025-09-25 01:30:58 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:31:43 [INFO] Epoch 28 loss: 440.12441873550415; train accuracy: 0.8355670797413793; test accuracy: 0.4867 2025-09-25 01:31:43 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:31:56 [INFO] Epoch 28 loss: 105.45790767669678; train accuracy: 0.7839543269230769; test accuracy: 0.1672 2025-09-25 01:31:56 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:32:08 [INFO] Epoch 28 loss: 93.85036945343018; train accuracy: 0.8485440340909091; test accuracy: 0.1014 2025-09-25 01:32:08 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:32:47 [INFO] Epoch 28 loss: 358.5202794075012; train accuracy: 0.8240109707446809; test accuracy: 0.4085 2025-09-25 01:32:47 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:33:13 [INFO] Epoch 28 loss: 239.4398922920227; train accuracy: 0.8548177083333334; test accuracy: 0.3102 2025-09-25 01:33:13 [INFO] Round 28 Finish--------| 2025-09-25 01:33:13 [INFO] Model variance: mean: 0.0023833801969885826, sum: 26631.775390625 2025-09-25 01:33:13 [INFO] g_protos_std: 0.9678259491920471 2025-09-25 01:33:18 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6109 2025-09-25 01:33:18 [INFO] Round 29 starts--------| 2025-09-25 01:33:18 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:34:03 [INFO] Epoch 29 loss: 435.5294089317322; train accuracy: 0.8243534482758621; test accuracy: 0.48 2025-09-25 01:34:03 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:34:15 [INFO] Epoch 29 loss: 104.8795075416565; train accuracy: 0.6527944711538461; test accuracy: 0.1506 2025-09-25 01:34:15 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:34:25 [INFO] Epoch 29 loss: 93.70612144470215; train accuracy: 0.8606178977272727; test accuracy: 0.1115 2025-09-25 01:34:25 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:35:04 [INFO] Epoch 29 loss: 361.76818323135376; train accuracy: 0.8143700132978723; test accuracy: 0.4059 2025-09-25 01:35:04 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:35:31 [INFO] Epoch 29 loss: 237.09226512908936; train accuracy: 0.8953776041666667; test accuracy: 0.3375 2025-09-25 01:35:31 [INFO] Round 29 Finish--------| 2025-09-25 01:35:31 [INFO] Model variance: mean: 0.0024288706481456757, sum: 27140.083984375 2025-09-25 01:35:31 [INFO] g_protos_std: 0.9663414359092712 2025-09-25 01:35:36 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6101 2025-09-25 01:35:36 [INFO] Round 30 starts--------| 2025-09-25 01:35:36 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:36:22 [INFO] Epoch 30 loss: 442.94843673706055; train accuracy: 0.8344558189655172; test accuracy: 0.4858 2025-09-25 01:36:22 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:36:34 [INFO] Epoch 30 loss: 105.44514465332031; train accuracy: 0.9185697115384616; test accuracy: 0.1816 2025-09-25 01:36:35 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:36:46 [INFO] Epoch 30 loss: 94.41131973266602; train accuracy: 0.8631036931818182; test accuracy: 0.114 2025-09-25 01:36:47 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:37:24 [INFO] Epoch 30 loss: 363.09755659103394; train accuracy: 0.7696974734042553; test accuracy: 0.3863 2025-09-25 01:37:24 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:37:49 [INFO] Epoch 30 loss: 236.36800003051758; train accuracy: 0.8490885416666667; test accuracy: 0.3219 2025-09-25 01:37:50 [INFO] Round 30 Finish--------| 2025-09-25 01:37:50 [INFO] Model variance: mean: 0.0024711403530091047, sum: 27612.40234375 2025-09-25 01:37:50 [INFO] g_protos_std: 0.9649386405944824 2025-09-25 01:37:54 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6136 2025-09-25 01:37:55 [INFO] Round 31 starts--------| 2025-09-25 01:37:55 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:38:44 [INFO] Epoch 31 loss: 431.3442792892456; train accuracy: 0.8391029094827587; test accuracy: 0.488 2025-09-25 01:38:44 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:38:55 [INFO] Epoch 31 loss: 105.66013050079346; train accuracy: 0.9017427884615384; test accuracy: 0.1768 2025-09-25 01:38:55 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:39:05 [INFO] Epoch 31 loss: 94.62785053253174; train accuracy: 0.8512073863636364; test accuracy: 0.1009 2025-09-25 01:39:05 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:39:42 [INFO] Epoch 31 loss: 356.6225423812866; train accuracy: 0.8208527260638298; test accuracy: 0.4052 2025-09-25 01:39:42 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:40:06 [INFO] Epoch 31 loss: 236.09935760498047; train accuracy: 0.8616536458333334; test accuracy: 0.3098 2025-09-25 01:40:06 [INFO] Round 31 Finish--------| 2025-09-25 01:40:06 [INFO] Model variance: mean: 0.002513960702344775, sum: 28090.875 2025-09-25 01:40:06 [INFO] g_protos_std: 0.9634535312652588 2025-09-25 01:40:11 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6108 2025-09-25 01:40:11 [INFO] Round 32 starts--------| 2025-09-25 01:40:11 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:40:55 [INFO] Epoch 32 loss: 432.15060091018677; train accuracy: 0.9043978987068966; test accuracy: 0.5281 2025-09-25 01:40:55 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:41:07 [INFO] Epoch 32 loss: 104.49148941040039; train accuracy: 0.7593149038461539; test accuracy: 0.1161 2025-09-25 01:41:07 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:41:20 [INFO] Epoch 32 loss: 94.14997959136963; train accuracy: 0.8575994318181818; test accuracy: 0.1075 2025-09-25 01:41:20 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:41:59 [INFO] Epoch 32 loss: 354.215247631073; train accuracy: 0.8362699468085106; test accuracy: 0.4143 2025-09-25 01:41:59 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:42:25 [INFO] Epoch 32 loss: 235.25138998031616; train accuracy: 0.8384765625; test accuracy: 0.3114 2025-09-25 01:42:25 [INFO] Round 32 Finish--------| 2025-09-25 01:42:25 [INFO] Model variance: mean: 0.002556476043537259, sum: 28565.939453125 2025-09-25 01:42:25 [INFO] g_protos_std: 0.9619735479354858 2025-09-25 01:42:30 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6219 2025-09-25 01:42:30 [INFO] Round 33 starts--------| 2025-09-25 01:42:30 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:43:19 [INFO] Epoch 33 loss: 431.3441410064697; train accuracy: 0.7784886853448276; test accuracy: 0.4507 2025-09-25 01:43:19 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:43:33 [INFO] Epoch 33 loss: 104.4120078086853; train accuracy: 0.6696213942307693; test accuracy: 0.1549 2025-09-25 01:43:33 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:43:44 [INFO] Epoch 33 loss: 94.15637874603271; train accuracy: 0.8497869318181818; test accuracy: 0.1036 2025-09-25 01:43:44 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:44:24 [INFO] Epoch 33 loss: 350.2099823951721; train accuracy: 0.8679770611702128; test accuracy: 0.4346 2025-09-25 01:44:24 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:44:51 [INFO] Epoch 33 loss: 235.61729097366333; train accuracy: 0.825390625; test accuracy: 0.3434 2025-09-25 01:44:51 [INFO] Round 33 Finish--------| 2025-09-25 01:44:51 [INFO] Model variance: mean: 0.0025995862670242786, sum: 29047.65234375 2025-09-25 01:44:51 [INFO] g_protos_std: 0.9604570865631104 2025-09-25 01:44:57 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6298 2025-09-25 01:44:57 [INFO] Round 34 starts--------| 2025-09-25 01:44:57 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:45:46 [INFO] Epoch 34 loss: 432.74267387390137; train accuracy: 0.8733836206896551; test accuracy: 0.5087 2025-09-25 01:45:46 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:45:59 [INFO] Epoch 34 loss: 104.49336385726929; train accuracy: 0.8834134615384616; test accuracy: 0.1825 2025-09-25 01:45:59 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:46:10 [INFO] Epoch 34 loss: 94.1089563369751; train accuracy: 0.8473011363636364; test accuracy: 0.1 2025-09-25 01:46:10 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:46:50 [INFO] Epoch 34 loss: 352.7373185157776; train accuracy: 0.8917885638297872; test accuracy: 0.4431 2025-09-25 01:46:50 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:47:16 [INFO] Epoch 34 loss: 233.16438150405884; train accuracy: 0.8787760416666667; test accuracy: 0.3426 2025-09-25 01:47:16 [INFO] Round 34 Finish--------| 2025-09-25 01:47:16 [INFO] Model variance: mean: 0.0026400049682706594, sum: 29499.2890625 2025-09-25 01:47:16 [INFO] g_protos_std: 0.9589839577674866 2025-09-25 01:47:21 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6327 2025-09-25 01:47:21 [INFO] Round 35 starts--------| 2025-09-25 01:47:21 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:48:09 [INFO] Epoch 35 loss: 420.867910861969; train accuracy: 0.8614291487068966; test accuracy: 0.4999 2025-09-25 01:48:10 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:48:23 [INFO] Epoch 35 loss: 103.51241493225098; train accuracy: 0.8577223557692307; test accuracy: 0.1799 2025-09-25 01:48:23 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:48:34 [INFO] Epoch 35 loss: 94.00955486297607; train accuracy: 0.8563565340909091; test accuracy: 0.1087 2025-09-25 01:48:35 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:49:17 [INFO] Epoch 35 loss: 355.8147511482239; train accuracy: 0.8668966090425532; test accuracy: 0.4276 2025-09-25 01:49:17 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:49:44 [INFO] Epoch 35 loss: 233.5451807975769; train accuracy: 0.858203125; test accuracy: 0.3375 2025-09-25 01:49:45 [INFO] Round 35 Finish--------| 2025-09-25 01:49:45 [INFO] Model variance: mean: 0.0026815845631062984, sum: 29963.896484375 2025-09-25 01:49:45 [INFO] g_protos_std: 0.9574845433235168 2025-09-25 01:49:50 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6326 2025-09-25 01:49:50 [INFO] Round 36 starts--------| 2025-09-25 01:49:50 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:50:42 [INFO] Epoch 36 loss: 430.1089811325073; train accuracy: 0.8595770474137931; test accuracy: 0.4973 2025-09-25 01:50:42 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:50:54 [INFO] Epoch 36 loss: 103.38157558441162; train accuracy: 0.8079927884615384; test accuracy: 0.172 2025-09-25 01:50:54 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:51:06 [INFO] Epoch 36 loss: 93.73410987854004; train accuracy: 0.8473011363636364; test accuracy: 0.1 2025-09-25 01:51:06 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:51:45 [INFO] Epoch 36 loss: 349.55739402770996; train accuracy: 0.8772855718085106; test accuracy: 0.434 2025-09-25 01:51:45 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:52:10 [INFO] Epoch 36 loss: 231.81633853912354; train accuracy: 0.7986328125; test accuracy: 0.2921 2025-09-25 01:52:10 [INFO] Round 36 Finish--------| 2025-09-25 01:52:10 [INFO] Model variance: mean: 0.0027226267848163843, sum: 30422.5 2025-09-25 01:52:10 [INFO] g_protos_std: 0.9560040831565857 2025-09-25 01:52:15 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.638 2025-09-25 01:52:15 [INFO] Round 37 starts--------| 2025-09-25 01:52:15 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:53:06 [INFO] Epoch 37 loss: 418.9997787475586; train accuracy: 0.8775929418103449; test accuracy: 0.5088 2025-09-25 01:53:06 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:53:21 [INFO] Epoch 37 loss: 104.62040185928345; train accuracy: 0.8862680288461539; test accuracy: 0.1665 2025-09-25 01:53:21 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:53:33 [INFO] Epoch 37 loss: 93.3118200302124; train accuracy: 0.7833806818181818; test accuracy: 0.1458 2025-09-25 01:53:33 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:54:13 [INFO] Epoch 37 loss: 353.7464828491211; train accuracy: 0.8211436170212766; test accuracy: 0.4061 2025-09-25 01:54:13 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:54:40 [INFO] Epoch 37 loss: 235.4066505432129; train accuracy: 0.8442057291666667; test accuracy: 0.2986 2025-09-25 01:54:40 [INFO] Round 37 Finish--------| 2025-09-25 01:54:40 [INFO] Model variance: mean: 0.002761986805126071, sum: 30862.306640625 2025-09-25 01:54:40 [INFO] g_protos_std: 0.9545606970787048 2025-09-25 01:54:44 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6288 2025-09-25 01:54:44 [INFO] Round 38 starts--------| 2025-09-25 01:54:44 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:55:31 [INFO] Epoch 38 loss: 423.9741654396057; train accuracy: 0.8288995150862069; test accuracy: 0.4806 2025-09-25 01:55:31 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:55:43 [INFO] Epoch 38 loss: 105.18396997451782; train accuracy: 0.8341346153846154; test accuracy: 0.1761 2025-09-25 01:55:43 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:55:55 [INFO] Epoch 38 loss: 93.82442474365234; train accuracy: 0.8492542613636364; test accuracy: 0.1003 2025-09-25 01:55:55 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:56:31 [INFO] Epoch 38 loss: 352.65960788726807; train accuracy: 0.8551778590425532; test accuracy: 0.4226 2025-09-25 01:56:31 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:56:58 [INFO] Epoch 38 loss: 231.5789279937744; train accuracy: 0.8431640625; test accuracy: 0.2961 2025-09-25 01:56:58 [INFO] Round 38 Finish--------| 2025-09-25 01:56:58 [INFO] Model variance: mean: 0.0028001193422824144, sum: 31288.3984375 2025-09-25 01:56:58 [INFO] g_protos_std: 0.9530877470970154 2025-09-25 01:57:03 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6423 2025-09-25 01:57:03 [INFO] Round 39 starts--------| 2025-09-25 01:57:03 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:57:50 [INFO] Epoch 39 loss: 422.08601236343384; train accuracy: 0.8652007004310345; test accuracy: 0.5015 2025-09-25 01:57:50 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:58:02 [INFO] Epoch 39 loss: 103.88855361938477; train accuracy: 0.8930288461538461; test accuracy: 0.1652 2025-09-25 01:58:02 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:58:14 [INFO] Epoch 39 loss: 93.41244697570801; train accuracy: 0.8785511363636364; test accuracy: 0.1366 2025-09-25 01:58:14 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:58:53 [INFO] Epoch 39 loss: 350.8707695007324; train accuracy: 0.8368932845744681; test accuracy: 0.4149 2025-09-25 01:58:53 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:59:18 [INFO] Epoch 39 loss: 228.2872018814087; train accuracy: 0.8522786458333333; test accuracy: 0.3143 2025-09-25 01:59:18 [INFO] Round 39 Finish--------| 2025-09-25 01:59:18 [INFO] Model variance: mean: 0.002838816726580262, sum: 31720.802734375 2025-09-25 01:59:18 [INFO] g_protos_std: 0.9516083002090454 2025-09-25 01:59:23 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6361 2025-09-25 01:59:23 [INFO] Round 40 starts--------| 2025-09-25 01:59:23 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:00:08 [INFO] Epoch 40 loss: 427.6072807312012; train accuracy: 0.8763469827586207; test accuracy: 0.5094 2025-09-25 02:00:09 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:00:23 [INFO] Epoch 40 loss: 104.53511190414429; train accuracy: 0.822265625; test accuracy: 0.176 2025-09-25 02:00:23 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:00:34 [INFO] Epoch 40 loss: 93.5022554397583; train accuracy: 0.8480113636363636; test accuracy: 0.1 2025-09-25 02:00:34 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:01:15 [INFO] Epoch 40 loss: 345.95661449432373; train accuracy: 0.8479886968085106; test accuracy: 0.4224 2025-09-25 02:01:16 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:01:41 [INFO] Epoch 40 loss: 231.70499420166016; train accuracy: 0.811328125; test accuracy: 0.3045 2025-09-25 02:01:41 [INFO] Round 40 Finish--------| 2025-09-25 02:01:41 [INFO] Model variance: mean: 0.002876737853512168, sum: 32144.529296875 2025-09-25 02:01:41 [INFO] g_protos_std: 0.9501413702964783 2025-09-25 02:01:46 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6481 2025-09-25 02:01:46 [INFO] Round 41 starts--------| 2025-09-25 02:01:46 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:02:33 [INFO] Epoch 41 loss: 414.11775398254395; train accuracy: 0.8490705818965517; test accuracy: 0.4922 2025-09-25 02:02:33 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:02:45 [INFO] Epoch 41 loss: 103.20233345031738; train accuracy: 0.7593149038461539; test accuracy: 0.168 2025-09-25 02:02:45 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:02:56 [INFO] Epoch 41 loss: 93.84698104858398; train accuracy: 0.8488991477272727; test accuracy: 0.1003 2025-09-25 02:02:56 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:03:34 [INFO] Epoch 41 loss: 345.6678228378296; train accuracy: 0.8768284574468085; test accuracy: 0.4338 2025-09-25 02:03:34 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:04:01 [INFO] Epoch 41 loss: 230.8500337600708; train accuracy: 0.8266276041666667; test accuracy: 0.3413 2025-09-25 02:04:01 [INFO] Round 41 Finish--------| 2025-09-25 02:04:01 [INFO] Model variance: mean: 0.002915455959737301, sum: 32577.1640625 2025-09-25 02:04:01 [INFO] g_protos_std: 0.9486329555511475 2025-09-25 02:04:05 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.65 2025-09-25 02:04:05 [INFO] Round 42 starts--------| 2025-09-25 02:04:05 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:04:49 [INFO] Epoch 42 loss: 408.4057502746582; train accuracy: 0.8870891702586207; test accuracy: 0.5125 2025-09-25 02:04:49 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:05:02 [INFO] Epoch 42 loss: 102.81404209136963; train accuracy: 0.9097055288461539; test accuracy: 0.1896 2025-09-25 02:05:02 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:05:13 [INFO] Epoch 42 loss: 93.5898962020874; train accuracy: 0.8570667613636364; test accuracy: 0.1082 2025-09-25 02:05:13 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:05:51 [INFO] Epoch 42 loss: 338.1574058532715; train accuracy: 0.8947390292553191; test accuracy: 0.4396 2025-09-25 02:05:51 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:06:16 [INFO] Epoch 42 loss: 228.59603023529053; train accuracy: 0.878515625; test accuracy: 0.3743 2025-09-25 02:06:16 [INFO] Round 42 Finish--------| 2025-09-25 02:06:16 [INFO] Model variance: mean: 0.0029543626587837934, sum: 33011.90625 2025-09-25 02:06:16 [INFO] g_protos_std: 0.947084367275238 2025-09-25 02:06:21 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6538 2025-09-25 02:06:21 [INFO] Round 43 starts--------| 2025-09-25 02:06:21 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:07:11 [INFO] Epoch 43 loss: 414.2278151512146; train accuracy: 0.896417025862069; test accuracy: 0.5175 2025-09-25 02:07:11 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:07:23 [INFO] Epoch 43 loss: 102.92868089675903; train accuracy: 0.8934795673076923; test accuracy: 0.1794 2025-09-25 02:07:23 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:07:33 [INFO] Epoch 43 loss: 93.64302158355713; train accuracy: 0.8604403409090909; test accuracy: 0.1145 2025-09-25 02:07:33 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:08:11 [INFO] Epoch 43 loss: 349.7528839111328; train accuracy: 0.8452460106382979; test accuracy: 0.4181 2025-09-25 02:08:11 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:08:36 [INFO] Epoch 43 loss: 230.13422393798828; train accuracy: 0.8046875; test accuracy: 0.3018 2025-09-25 02:08:36 [INFO] Round 43 Finish--------| 2025-09-25 02:08:36 [INFO] Model variance: mean: 0.002989655127748847, sum: 33406.26171875 2025-09-25 02:08:36 [INFO] g_protos_std: 0.9456518292427063 2025-09-25 02:08:41 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.645 2025-09-25 02:08:41 [INFO] Round 44 starts--------| 2025-09-25 02:08:41 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:09:28 [INFO] Epoch 44 loss: 410.68554496765137; train accuracy: 0.8720366379310345; test accuracy: 0.5042 2025-09-25 02:09:28 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:09:41 [INFO] Epoch 44 loss: 103.02716445922852; train accuracy: 0.8820612980769231; test accuracy: 0.1767 2025-09-25 02:09:41 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:09:51 [INFO] Epoch 44 loss: 92.92575454711914; train accuracy: 0.8490767045454546; test accuracy: 0.1008 2025-09-25 02:09:51 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:10:30 [INFO] Epoch 44 loss: 346.0431532859802; train accuracy: 0.8642370345744681; test accuracy: 0.4314 2025-09-25 02:10:30 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:10:56 [INFO] Epoch 44 loss: 224.46783208847046; train accuracy: 0.8787760416666667; test accuracy: 0.3704 2025-09-25 02:10:56 [INFO] Round 44 Finish--------| 2025-09-25 02:10:56 [INFO] Model variance: mean: 0.003026422346010804, sum: 33817.09765625 2025-09-25 02:10:56 [INFO] g_protos_std: 0.9441730976104736 2025-09-25 02:11:01 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6519 2025-09-25 02:11:01 [INFO] Round 45 starts--------| 2025-09-25 02:11:01 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:11:46 [INFO] Epoch 45 loss: 410.9147720336914; train accuracy: 0.9255792025862069; test accuracy: 0.5357 2025-09-25 02:11:46 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:11:59 [INFO] Epoch 45 loss: 103.99080991744995; train accuracy: 0.9343449519230769; test accuracy: 0.1877 2025-09-25 02:12:00 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:12:11 [INFO] Epoch 45 loss: 93.26614952087402; train accuracy: 0.8485440340909091; test accuracy: 0.1 2025-09-25 02:12:11 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:12:51 [INFO] Epoch 45 loss: 339.9042720794678; train accuracy: 0.8919963430851063; test accuracy: 0.4383 2025-09-25 02:12:52 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:13:18 [INFO] Epoch 45 loss: 224.3485131263733; train accuracy: 0.8824869791666666; test accuracy: 0.3893 2025-09-25 02:13:19 [INFO] Round 45 Finish--------| 2025-09-25 02:13:19 [INFO] Model variance: mean: 0.00306335324421525, sum: 34229.76171875 2025-09-25 02:13:19 [INFO] g_protos_std: 0.9426956176757812 2025-09-25 02:13:24 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6603 2025-09-25 02:13:24 [INFO] Round 46 starts--------| 2025-09-25 02:13:24 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:14:11 [INFO] Epoch 46 loss: 410.1452159881592; train accuracy: 0.9044989224137931; test accuracy: 0.5225 2025-09-25 02:14:11 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:14:23 [INFO] Epoch 46 loss: 103.43073177337646; train accuracy: 0.8028846153846154; test accuracy: 0.1721 2025-09-25 02:14:23 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:14:34 [INFO] Epoch 46 loss: 92.9111099243164; train accuracy: 0.8810369318181818; test accuracy: 0.1271 2025-09-25 02:14:34 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:15:15 [INFO] Epoch 46 loss: 336.24608421325684; train accuracy: 0.8767869015957447; test accuracy: 0.4317 2025-09-25 02:15:15 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:15:41 [INFO] Epoch 46 loss: 227.9521074295044; train accuracy: 0.8995442708333333; test accuracy: 0.3492 2025-09-25 02:15:41 [INFO] Round 46 Finish--------| 2025-09-25 02:15:41 [INFO] Model variance: mean: 0.003100208705291152, sum: 34641.58203125 2025-09-25 02:15:41 [INFO] g_protos_std: 0.9412134885787964 2025-09-25 02:15:46 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6707 2025-09-25 02:15:46 [INFO] Round 47 starts--------| 2025-09-25 02:15:46 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:16:35 [INFO] Epoch 47 loss: 411.2818112373352; train accuracy: 0.8768184267241379; test accuracy: 0.5059 2025-09-25 02:16:35 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:16:49 [INFO] Epoch 47 loss: 102.75798749923706; train accuracy: 0.8737980769230769; test accuracy: 0.2091 2025-09-25 02:16:49 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:17:00 [INFO] Epoch 47 loss: 92.82379531860352; train accuracy: 0.8641690340909091; test accuracy: 0.1118 2025-09-25 02:17:00 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:17:41 [INFO] Epoch 47 loss: 337.70804023742676; train accuracy: 0.8707197473404256; test accuracy: 0.4288 2025-09-25 02:17:41 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:18:08 [INFO] Epoch 47 loss: 226.44215154647827; train accuracy: 0.8955729166666667; test accuracy: 0.3414 2025-09-25 02:18:08 [INFO] Round 47 Finish--------| 2025-09-25 02:18:08 [INFO] Model variance: mean: 0.0031364643946290016, sum: 35046.703125 2025-09-25 02:18:08 [INFO] g_protos_std: 0.9397090077400208 2025-09-25 02:18:13 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6713 2025-09-25 02:18:13 [INFO] Round 48 starts--------| 2025-09-25 02:18:13 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:19:03 [INFO] Epoch 48 loss: 410.94825315475464; train accuracy: 0.8802532327586207; test accuracy: 0.507 2025-09-25 02:19:03 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:19:16 [INFO] Epoch 48 loss: 104.12703657150269; train accuracy: 0.9089543269230769; test accuracy: 0.1882 2025-09-25 02:19:16 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:19:28 [INFO] Epoch 48 loss: 92.41326904296875; train accuracy: 0.8703835227272727; test accuracy: 0.1393 2025-09-25 02:19:28 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:20:08 [INFO] Epoch 48 loss: 343.78309535980225; train accuracy: 0.8587101063829787; test accuracy: 0.4253 2025-09-25 02:20:08 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:20:35 [INFO] Epoch 48 loss: 228.06921482086182; train accuracy: 0.8124348958333333; test accuracy: 0.3265 2025-09-25 02:20:35 [INFO] Round 48 Finish--------| 2025-09-25 02:20:35 [INFO] Model variance: mean: 0.0031702746637165546, sum: 35424.49609375 2025-09-25 02:20:35 [INFO] g_protos_std: 0.9382510781288147 2025-09-25 02:20:40 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6773 2025-09-25 02:20:40 [INFO] Round 49 starts--------| 2025-09-25 02:20:40 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:21:29 [INFO] Epoch 49 loss: 412.94067907333374; train accuracy: 0.8568830818965517; test accuracy: 0.4968 2025-09-25 02:21:29 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:21:42 [INFO] Epoch 49 loss: 101.91434907913208; train accuracy: 0.8778545673076923; test accuracy: 0.1826 2025-09-25 02:21:42 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:21:53 [INFO] Epoch 49 loss: 92.16723155975342; train accuracy: 0.8797940340909091; test accuracy: 0.1336 2025-09-25 02:21:53 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:22:33 [INFO] Epoch 49 loss: 335.3517789840698; train accuracy: 0.924077460106383; test accuracy: 0.4506 2025-09-25 02:22:33 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:22:59 [INFO] Epoch 49 loss: 229.8614158630371; train accuracy: 0.8279296875; test accuracy: 0.3045 2025-09-25 02:22:59 [INFO] Round 49 Finish--------| 2025-09-25 02:22:59 [INFO] Model variance: mean: 0.0032043573446571827, sum: 35805.3359375 2025-09-25 02:22:59 [INFO] g_protos_std: 0.9368035793304443 2025-09-25 02:23:04 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6644 2025-09-25 02:23:04 [INFO] Round 50 starts--------| 2025-09-25 02:23:04 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:23:53 [INFO] Epoch 50 loss: 405.59311628341675; train accuracy: 0.9252761314655172; test accuracy: 0.535 2025-09-25 02:23:54 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:24:06 [INFO] Epoch 50 loss: 103.02079153060913; train accuracy: 0.8979867788461539; test accuracy: 0.1724 2025-09-25 02:24:07 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:24:19 [INFO] Epoch 50 loss: 92.96579074859619; train accuracy: 0.8735795454545454; test accuracy: 0.1208 2025-09-25 02:24:20 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:24:58 [INFO] Epoch 50 loss: 337.462628364563; train accuracy: 0.8999750664893617; test accuracy: 0.4711 2025-09-25 02:24:58 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:25:25 [INFO] Epoch 50 loss: 224.68081045150757; train accuracy: 0.8815755208333333; test accuracy: 0.3398 2025-09-25 02:25:25 [INFO] Round 50 Finish--------| 2025-09-25 02:25:25 [INFO] Model variance: mean: 0.0032390886917710304, sum: 36193.421875 2025-09-25 02:25:25 [INFO] g_protos_std: 0.9353156685829163 2025-09-25 02:25:31 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6744 2025-09-25 00:25:17 [INFO] Load config from ./configs/CIFAR10_alpha0.1.yaml 2025-09-25 00:25:17 [INFO] config: {'exp_name': 'CIFAR10_alpha0.1', 'dataset': {'data_name': 'CIFAR10', 'root_path': 'H:/codes/dataset', 'train_batch_size': 512, 'test_batch_size': 256, 'channels': 3, 'num_classes': 10, 'image_size': 32}, 'distribution': {'type': 'dirichlet', 'label_num_per_client': 2, 'alpha': 0.1}, 'client': {'num_clients': 5}, 'server': {'num_rounds': 300, 'frac_clients': 1.0, 'lr': 0.05, 'local_epochs': 1, 'optimizer': 'sgd', 'momentum': 0.9, 'weight_decay': 0.0001, 'loss_name': 'ce', 'model_name': 'resnet18', 'aggregated_by_datasize': True, 'lr_decay_per_round': 0.998}, 'device': 'cuda:0', 'checkpoint': {'save_path': './checkpoints/', 'save_freq': 5, 'result_file': 'CIFAR10_results.yaml'}, 'pretrain': {'lr': 0.01, 'epoch': 70, 'model_path': './pretrain/', 'momentum': 0.9, 'weight_decay': 0.0001, 'model_name': 'resnet18', 'model_file_name': 'resnet18-f37072fd.pth'}, 'DBCD': {'alpha_l_pa': 1, 'alpha_l_pb': 1, 'alpha_l_pc': 0.0, 'Beta_alpha': 0.2, 'unsup_method': 'infonce', 'contrastive_temperature': 0.5, 'encoder_epoch': 40, 'projector_epoch': 10, 'use_pretrain': False, 'aug_batch_size': 512, 'encoder_lr': 0.03, 'cls_optimizer': 'sgd', 'cls_lr': 0.05, 'supcon_temp': 0.07, 'super_gr': 100, 'aux_with_public': True}, 'etf': {'loss_name': 'ce'}, 'visualization': {'interval': 5, 'save_path': 'visualization/resnet18', 'vis_size': 16}, 'resume': True, 'resume_best': False, 'seed': 1} 2025-09-25 00:25:19 [INFO] Dataset CIFAR10 loaded 2025-09-25 00:25:19 [INFO] Dataset index dict loaded from preprocessed_data/CIFAR10.pt 2025-09-25 00:25:20 [INFO] OneshotOursV5 with Decoupled Representation and Classifier Learning (DRCL) 2025-09-25 00:25:21 [INFO] Initialized fixed anchors with shape: torch.Size([10, 512]) 2025-09-25 00:25:21 [INFO] Round 0 starts--------| 2025-09-25 00:25:21 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:25:28 [INFO] generating sample per sample 2025-09-25 00:26:22 [INFO] Epoch 0 loss: 532.734977722168; train accuracy: 0.3312581380208333; test accuracy: 0.1663 2025-09-25 00:26:23 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:26:24 [INFO] generating sample per sample 2025-09-25 00:26:42 [INFO] Epoch 0 loss: 139.68202877044678; train accuracy: 0.7235576923076923; test accuracy: 0.1 2025-09-25 00:26:42 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:26:48 [INFO] generating sample per sample 2025-09-25 00:27:32 [INFO] Epoch 0 loss: 444.32789039611816; train accuracy: 0.264306640625; test accuracy: 0.113 2025-09-25 00:27:32 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:27:39 [INFO] generating sample per sample 2025-09-25 00:28:35 [INFO] Epoch 0 loss: 560.1138801574707; train accuracy: 0.2875; test accuracy: 0.1482 2025-09-25 00:28:36 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:28:41 [INFO] generating sample per sample 2025-09-25 00:29:23 [INFO] Epoch 0 loss: 426.58472442626953; train accuracy: 0.32592147435897434; test accuracy: 0.1333 2025-09-25 00:29:24 [INFO] Round 0 Finish--------| 2025-09-25 00:29:24 [INFO] Model variance: mean: 0.0005574628594331443, sum: 6229.06298828125 2025-09-25 00:29:24 [INFO] g_protos_std: 1.0051023960113525 2025-09-25 00:29:33 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.3112 2025-09-25 00:29:33 [INFO] Round 1 starts--------| 2025-09-25 00:29:33 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:30:25 [INFO] Epoch 1 loss: 484.5121965408325; train accuracy: 0.4079996744791667; test accuracy: 0.2076 2025-09-25 00:30:25 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:30:42 [INFO] Epoch 1 loss: 122.33062362670898; train accuracy: 0.7234074519230769; test accuracy: 0.1001 2025-09-25 00:30:42 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:31:24 [INFO] Epoch 1 loss: 411.0210180282593; train accuracy: 0.2447265625; test accuracy: 0.1014 2025-09-25 00:31:24 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:32:22 [INFO] Epoch 1 loss: 509.7458906173706; train accuracy: 0.3533984375; test accuracy: 0.1859 2025-09-25 00:32:22 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:33:06 [INFO] Epoch 1 loss: 380.9545421600342; train accuracy: 0.3391927083333333; test accuracy: 0.1375 2025-09-25 00:33:06 [INFO] Round 1 Finish--------| 2025-09-25 00:33:07 [INFO] Model variance: mean: 0.0007189096068032086, sum: 8033.0615234375 2025-09-25 00:33:07 [INFO] g_protos_std: 1.0037208795547485 2025-09-25 00:33:15 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.3579 2025-09-25 00:33:15 [INFO] Round 2 starts--------| 2025-09-25 00:33:15 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:34:10 [INFO] Epoch 2 loss: 474.1809015274048; train accuracy: 0.271484375; test accuracy: 0.1367 2025-09-25 00:34:10 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:34:27 [INFO] Epoch 2 loss: 119.17526531219482; train accuracy: 0.7175480769230769; test accuracy: 0.1044 2025-09-25 00:34:27 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:35:13 [INFO] Epoch 2 loss: 401.7353639602661; train accuracy: 0.316259765625; test accuracy: 0.1387 2025-09-25 00:35:13 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:36:08 [INFO] Epoch 2 loss: 502.02863693237305; train accuracy: 0.4240234375; test accuracy: 0.2352 2025-09-25 00:36:08 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:36:52 [INFO] Epoch 2 loss: 365.6588354110718; train accuracy: 0.5768729967948718; test accuracy: 0.236 2025-09-25 00:36:52 [INFO] Round 2 Finish--------| 2025-09-25 00:36:52 [INFO] Model variance: mean: 0.000851588963996619, sum: 9515.6142578125 2025-09-25 00:36:52 [INFO] g_protos_std: 1.002281904220581 2025-09-25 00:37:01 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.3762 2025-09-25 00:37:01 [INFO] Round 3 starts--------| 2025-09-25 00:37:01 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:37:55 [INFO] Epoch 3 loss: 463.8874397277832; train accuracy: 0.3878580729166667; test accuracy: 0.2012 2025-09-25 00:37:55 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:38:12 [INFO] Epoch 3 loss: 117.32913589477539; train accuracy: 0.7253605769230769; test accuracy: 0.1002 2025-09-25 00:38:12 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:38:58 [INFO] Epoch 3 loss: 393.7869291305542; train accuracy: 0.482470703125; test accuracy: 0.2102 2025-09-25 00:38:58 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:39:54 [INFO] Epoch 3 loss: 490.41869735717773; train accuracy: 0.474765625; test accuracy: 0.2512 2025-09-25 00:39:54 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:40:41 [INFO] Epoch 3 loss: 356.2111072540283; train accuracy: 0.4713541666666667; test accuracy: 0.1932 2025-09-25 00:40:41 [INFO] Round 3 Finish--------| 2025-09-25 00:40:41 [INFO] Model variance: mean: 0.0009679014328867197, sum: 10815.2841796875 2025-09-25 00:40:41 [INFO] g_protos_std: 1.0008127689361572 2025-09-25 00:40:49 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.3883 2025-09-25 00:40:49 [INFO] Round 4 starts--------| 2025-09-25 00:40:49 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:41:45 [INFO] Epoch 4 loss: 457.1672134399414; train accuracy: 0.3857828776041667; test accuracy: 0.1964 2025-09-25 00:41:45 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:42:02 [INFO] Epoch 4 loss: 117.45943832397461; train accuracy: 0.7261117788461539; test accuracy: 0.1014 2025-09-25 00:42:02 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:42:50 [INFO] Epoch 4 loss: 390.932089805603; train accuracy: 0.378662109375; test accuracy: 0.1699 2025-09-25 00:42:50 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:43:48 [INFO] Epoch 4 loss: 477.5887212753296; train accuracy: 0.414609375; test accuracy: 0.2226 2025-09-25 00:43:48 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:44:36 [INFO] Epoch 4 loss: 350.7991886138916; train accuracy: 0.6099258814102564; test accuracy: 0.2491 2025-09-25 00:44:36 [INFO] Round 4 Finish--------| 2025-09-25 00:44:36 [INFO] Model variance: mean: 0.0010726505424827337, sum: 11985.74609375 2025-09-25 00:44:36 [INFO] g_protos_std: 0.9993358254432678 2025-09-25 00:44:44 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.4173 2025-09-25 00:44:44 [INFO] Round 5 starts--------| 2025-09-25 00:44:44 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:45:40 [INFO] Epoch 5 loss: 446.88255500793457; train accuracy: 0.4390462239583333; test accuracy: 0.2176 2025-09-25 00:45:40 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:45:57 [INFO] Epoch 5 loss: 116.7756118774414; train accuracy: 0.7582632211538461; test accuracy: 0.118 2025-09-25 00:45:58 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:46:46 [INFO] Epoch 5 loss: 387.2411985397339; train accuracy: 0.382421875; test accuracy: 0.175 2025-09-25 00:46:46 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:47:44 [INFO] Epoch 5 loss: 465.7836151123047; train accuracy: 0.5860546875; test accuracy: 0.3233 2025-09-25 00:47:44 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:48:26 [INFO] Epoch 5 loss: 344.443302154541; train accuracy: 0.6775841346153846; test accuracy: 0.2726 2025-09-25 00:48:26 [INFO] Round 5 Finish--------| 2025-09-25 00:48:26 [INFO] Model variance: mean: 0.0011690082028508186, sum: 13062.44140625 2025-09-25 00:48:26 [INFO] g_protos_std: 0.9978469610214233 2025-09-25 00:48:35 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.4349 2025-09-25 00:48:35 [INFO] Round 6 starts--------| 2025-09-25 00:48:35 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:49:26 [INFO] Epoch 6 loss: 443.77543354034424; train accuracy: 0.5692952473958334; test accuracy: 0.282 2025-09-25 00:49:26 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:49:42 [INFO] Epoch 6 loss: 116.47174739837646; train accuracy: 0.7241586538461539; test accuracy: 0.1008 2025-09-25 00:49:42 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:50:25 [INFO] Epoch 6 loss: 375.2791795730591; train accuracy: 0.423388671875; test accuracy: 0.1854 2025-09-25 00:50:25 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:51:19 [INFO] Epoch 6 loss: 463.6551866531372; train accuracy: 0.4783984375; test accuracy: 0.2801 2025-09-25 00:51:19 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:52:03 [INFO] Epoch 6 loss: 341.135048866272; train accuracy: 0.5695612980769231; test accuracy: 0.2315 2025-09-25 00:52:03 [INFO] Round 6 Finish--------| 2025-09-25 00:52:03 [INFO] Model variance: mean: 0.0012617119355127215, sum: 14098.30859375 2025-09-25 00:52:03 [INFO] g_protos_std: 0.9963639974594116 2025-09-25 00:52:11 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.4588 2025-09-25 00:52:11 [INFO] Round 7 starts--------| 2025-09-25 00:52:11 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:53:04 [INFO] Epoch 7 loss: 430.9647636413574; train accuracy: 0.591796875; test accuracy: 0.2989 2025-09-25 00:53:04 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:53:21 [INFO] Epoch 7 loss: 116.25802898406982; train accuracy: 0.7211538461538461; test accuracy: 0.1206 2025-09-25 00:53:21 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:54:03 [INFO] Epoch 7 loss: 372.6108989715576; train accuracy: 0.596826171875; test accuracy: 0.2596 2025-09-25 00:54:03 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:54:59 [INFO] Epoch 7 loss: 449.15981006622314; train accuracy: 0.6006640625; test accuracy: 0.3698 2025-09-25 00:54:59 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:55:43 [INFO] Epoch 7 loss: 340.3856544494629; train accuracy: 0.5876903044871795; test accuracy: 0.2398 2025-09-25 00:55:43 [INFO] Round 7 Finish--------| 2025-09-25 00:55:43 [INFO] Model variance: mean: 0.0013504443923011422, sum: 15089.80078125 2025-09-25 00:55:43 [INFO] g_protos_std: 0.9948722124099731 2025-09-25 00:55:52 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.4916 2025-09-25 00:55:52 [INFO] Round 8 starts--------| 2025-09-25 00:55:52 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:56:45 [INFO] Epoch 8 loss: 425.749680519104; train accuracy: 0.6424560546875; test accuracy: 0.3184 2025-09-25 00:56:45 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:57:00 [INFO] Epoch 8 loss: 115.68131637573242; train accuracy: 0.7225060096153846; test accuracy: 0.1002 2025-09-25 00:57:00 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:57:43 [INFO] Epoch 8 loss: 371.63150691986084; train accuracy: 0.48642578125; test accuracy: 0.2117 2025-09-25 00:57:43 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:58:36 [INFO] Epoch 8 loss: 450.2892875671387; train accuracy: 0.565703125; test accuracy: 0.3438 2025-09-25 00:58:36 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:59:20 [INFO] Epoch 8 loss: 338.05079460144043; train accuracy: 0.7157451923076923; test accuracy: 0.286 2025-09-25 00:59:20 [INFO] Round 8 Finish--------| 2025-09-25 00:59:20 [INFO] Model variance: mean: 0.0014321738854050636, sum: 16003.0419921875 2025-09-25 00:59:20 [INFO] g_protos_std: 0.9933699369430542 2025-09-25 00:59:29 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.4964 2025-09-25 00:59:29 [INFO] Round 9 starts--------| 2025-09-25 00:59:29 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:00:23 [INFO] Epoch 9 loss: 415.2678904533386; train accuracy: 0.5550944010416666; test accuracy: 0.2816 2025-09-25 01:00:23 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:00:41 [INFO] Epoch 9 loss: 115.33902645111084; train accuracy: 0.7414362980769231; test accuracy: 0.1066 2025-09-25 01:00:41 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:01:28 [INFO] Epoch 9 loss: 360.72581005096436; train accuracy: 0.682958984375; test accuracy: 0.309 2025-09-25 01:01:28 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:02:24 [INFO] Epoch 9 loss: 452.21510124206543; train accuracy: 0.62578125; test accuracy: 0.3518 2025-09-25 01:02:24 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:03:10 [INFO] Epoch 9 loss: 335.78288650512695; train accuracy: 0.7062800480769231; test accuracy: 0.2859 2025-09-25 01:03:10 [INFO] Round 9 Finish--------| 2025-09-25 01:03:10 [INFO] Model variance: mean: 0.0015174978179857135, sum: 16956.447265625 2025-09-25 01:03:10 [INFO] g_protos_std: 0.9918171167373657 2025-09-25 01:03:19 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5186 2025-09-25 01:03:19 [INFO] Round 10 starts--------| 2025-09-25 01:03:19 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:04:13 [INFO] Epoch 10 loss: 417.2631821632385; train accuracy: 0.6635335286458334; test accuracy: 0.3307 2025-09-25 01:04:14 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:04:31 [INFO] Epoch 10 loss: 115.1042709350586; train accuracy: 0.7475961538461539; test accuracy: 0.1114 2025-09-25 01:04:32 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:05:18 [INFO] Epoch 10 loss: 362.1894245147705; train accuracy: 0.567724609375; test accuracy: 0.2385 2025-09-25 01:05:19 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:06:18 [INFO] Epoch 10 loss: 437.1931686401367; train accuracy: 0.6059765625; test accuracy: 0.3905 2025-09-25 01:06:18 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:07:03 [INFO] Epoch 10 loss: 326.665997505188; train accuracy: 0.7425380608974359; test accuracy: 0.2944 2025-09-25 01:07:04 [INFO] Round 10 Finish--------| 2025-09-25 01:07:04 [INFO] Model variance: mean: 0.0015962113393470645, sum: 17835.98828125 2025-09-25 01:07:04 [INFO] g_protos_std: 0.9902372360229492 2025-09-25 01:07:12 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5331 2025-09-25 01:07:12 [INFO] Round 11 starts--------| 2025-09-25 01:07:12 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:08:09 [INFO] Epoch 11 loss: 406.8082938194275; train accuracy: 0.6186930338541666; test accuracy: 0.3068 2025-09-25 01:08:09 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:08:26 [INFO] Epoch 11 loss: 115.01060390472412; train accuracy: 0.7599158653846154; test accuracy: 0.1232 2025-09-25 01:08:26 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:09:13 [INFO] Epoch 11 loss: 359.7119836807251; train accuracy: 0.63583984375; test accuracy: 0.308 2025-09-25 01:09:13 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:10:12 [INFO] Epoch 11 loss: 425.6353602409363; train accuracy: 0.5532421875; test accuracy: 0.3377 2025-09-25 01:10:12 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:10:56 [INFO] Epoch 11 loss: 328.2495560646057; train accuracy: 0.809745592948718; test accuracy: 0.323 2025-09-25 01:10:56 [INFO] Round 11 Finish--------| 2025-09-25 01:10:56 [INFO] Model variance: mean: 0.0016746078617870808, sum: 18711.98828125 2025-09-25 01:10:56 [INFO] g_protos_std: 0.9886462688446045 2025-09-25 01:11:05 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5666 2025-09-25 01:11:05 [INFO] Round 12 starts--------| 2025-09-25 01:11:05 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:12:02 [INFO] Epoch 12 loss: 407.7234764099121; train accuracy: 0.6565755208333334; test accuracy: 0.3259 2025-09-25 01:12:02 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:12:19 [INFO] Epoch 12 loss: 114.39575481414795; train accuracy: 0.7659254807692307; test accuracy: 0.121 2025-09-25 01:12:19 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:13:04 [INFO] Epoch 12 loss: 353.3360319137573; train accuracy: 0.634130859375; test accuracy: 0.2986 2025-09-25 01:13:04 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:14:01 [INFO] Epoch 12 loss: 426.1062731742859; train accuracy: 0.604609375; test accuracy: 0.3381 2025-09-25 01:14:01 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:14:44 [INFO] Epoch 12 loss: 325.31907844543457; train accuracy: 0.7290164262820513; test accuracy: 0.2926 2025-09-25 01:14:44 [INFO] Round 12 Finish--------| 2025-09-25 01:14:44 [INFO] Model variance: mean: 0.0017501137917861342, sum: 19555.6875 2025-09-25 01:14:44 [INFO] g_protos_std: 0.9870588779449463 2025-09-25 01:14:53 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5476 2025-09-25 01:14:53 [INFO] Round 13 starts--------| 2025-09-25 01:14:53 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:15:46 [INFO] Epoch 13 loss: 399.7813444137573; train accuracy: 0.7176513671875; test accuracy: 0.3592 2025-09-25 01:15:46 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:16:02 [INFO] Epoch 13 loss: 114.72645282745361; train accuracy: 0.5345552884615384; test accuracy: 0.124 2025-09-25 01:16:02 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:16:49 [INFO] Epoch 13 loss: 348.93604469299316; train accuracy: 0.72880859375; test accuracy: 0.3408 2025-09-25 01:16:49 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:17:48 [INFO] Epoch 13 loss: 423.94299507141113; train accuracy: 0.67140625; test accuracy: 0.4097 2025-09-25 01:17:48 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:18:33 [INFO] Epoch 13 loss: 321.67818117141724; train accuracy: 0.7917668269230769; test accuracy: 0.3173 2025-09-25 01:18:33 [INFO] Round 13 Finish--------| 2025-09-25 01:18:33 [INFO] Model variance: mean: 0.001823753584176302, sum: 20378.53515625 2025-09-25 01:18:33 [INFO] g_protos_std: 0.9854230880737305 2025-09-25 01:18:42 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5686 2025-09-25 01:18:42 [INFO] Round 14 starts--------| 2025-09-25 01:18:42 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:19:38 [INFO] Epoch 14 loss: 401.7701563835144; train accuracy: 0.7884521484375; test accuracy: 0.3911 2025-09-25 01:19:38 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:19:54 [INFO] Epoch 14 loss: 115.10611343383789; train accuracy: 0.7217548076923077; test accuracy: 0.1 2025-09-25 01:19:54 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:20:39 [INFO] Epoch 14 loss: 348.25321769714355; train accuracy: 0.637255859375; test accuracy: 0.3049 2025-09-25 01:20:39 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:21:36 [INFO] Epoch 14 loss: 416.10859394073486; train accuracy: 0.654609375; test accuracy: 0.3804 2025-09-25 01:21:36 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:22:21 [INFO] Epoch 14 loss: 319.8430423736572; train accuracy: 0.7860076121794872; test accuracy: 0.3107 2025-09-25 01:22:21 [INFO] Round 14 Finish--------| 2025-09-25 01:22:21 [INFO] Model variance: mean: 0.0018935691332444549, sum: 21158.650390625 2025-09-25 01:22:21 [INFO] g_protos_std: 0.9837654232978821 2025-09-25 01:22:30 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5758 2025-09-25 01:22:30 [INFO] Round 15 starts--------| 2025-09-25 01:22:30 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:23:25 [INFO] Epoch 15 loss: 391.85939931869507; train accuracy: 0.805419921875; test accuracy: 0.398 2025-09-25 01:23:26 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:23:44 [INFO] Epoch 15 loss: 113.45403575897217; train accuracy: 0.755859375; test accuracy: 0.1122 2025-09-25 01:23:44 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:24:32 [INFO] Epoch 15 loss: 343.0264434814453; train accuracy: 0.724755859375; test accuracy: 0.3545 2025-09-25 01:24:32 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:25:32 [INFO] Epoch 15 loss: 413.4137649536133; train accuracy: 0.663984375; test accuracy: 0.4107 2025-09-25 01:25:32 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:26:18 [INFO] Epoch 15 loss: 323.40567779541016; train accuracy: 0.7161458333333334; test accuracy: 0.2841 2025-09-25 01:26:18 [INFO] Round 15 Finish--------| 2025-09-25 01:26:18 [INFO] Model variance: mean: 0.0019642903935164213, sum: 21948.88671875 2025-09-25 01:26:18 [INFO] g_protos_std: 0.982068657875061 2025-09-25 01:26:27 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6032 2025-09-25 01:26:27 [INFO] Round 16 starts--------| 2025-09-25 01:26:27 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:27:20 [INFO] Epoch 16 loss: 390.13715744018555; train accuracy: 0.8116455078125; test accuracy: 0.3982 2025-09-25 01:27:20 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:27:37 [INFO] Epoch 16 loss: 113.82831859588623; train accuracy: 0.7608173076923077; test accuracy: 0.1136 2025-09-25 01:27:37 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:28:21 [INFO] Epoch 16 loss: 345.87555837631226; train accuracy: 0.689404296875; test accuracy: 0.3256 2025-09-25 01:28:21 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:29:16 [INFO] Epoch 16 loss: 418.89790964126587; train accuracy: 0.643984375; test accuracy: 0.4023 2025-09-25 01:29:16 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:30:01 [INFO] Epoch 16 loss: 316.5581202507019; train accuracy: 0.8416466346153846; test accuracy: 0.3324 2025-09-25 01:30:01 [INFO] Round 16 Finish--------| 2025-09-25 01:30:01 [INFO] Model variance: mean: 0.0020282985642552376, sum: 22664.109375 2025-09-25 01:30:01 [INFO] g_protos_std: 0.9804133176803589 2025-09-25 01:30:09 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6194 2025-09-25 01:30:09 [INFO] Round 17 starts--------| 2025-09-25 01:30:09 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:31:05 [INFO] Epoch 17 loss: 392.2185974121094; train accuracy: 0.7575276692708334; test accuracy: 0.3739 2025-09-25 01:31:05 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:31:21 [INFO] Epoch 17 loss: 112.89857196807861; train accuracy: 0.7349759615384616; test accuracy: 0.1038 2025-09-25 01:31:21 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:32:07 [INFO] Epoch 17 loss: 340.78005743026733; train accuracy: 0.76064453125; test accuracy: 0.3799 2025-09-25 01:32:07 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:33:04 [INFO] Epoch 17 loss: 413.87739086151123; train accuracy: 0.7651953125; test accuracy: 0.4854 2025-09-25 01:33:04 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:33:46 [INFO] Epoch 17 loss: 318.27923583984375; train accuracy: 0.8216646634615384; test accuracy: 0.3239 2025-09-25 01:33:46 [INFO] Round 17 Finish--------| 2025-09-25 01:33:46 [INFO] Model variance: mean: 0.002093934454023838, sum: 23397.5234375 2025-09-25 01:33:46 [INFO] g_protos_std: 0.9787413477897644 2025-09-25 01:33:55 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6207 2025-09-25 01:33:55 [INFO] Round 18 starts--------| 2025-09-25 01:33:55 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:34:47 [INFO] Epoch 18 loss: 383.0698628425598; train accuracy: 0.7317301432291666; test accuracy: 0.3637 2025-09-25 01:34:47 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:35:03 [INFO] Epoch 18 loss: 113.4825029373169; train accuracy: 0.7417367788461539; test accuracy: 0.1053 2025-09-25 01:35:03 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:35:48 [INFO] Epoch 18 loss: 341.37339782714844; train accuracy: 0.72177734375; test accuracy: 0.3546 2025-09-25 01:35:48 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:36:45 [INFO] Epoch 18 loss: 406.24923944473267; train accuracy: 0.7418359375; test accuracy: 0.4738 2025-09-25 01:36:45 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:37:30 [INFO] Epoch 18 loss: 316.1068911552429; train accuracy: 0.7973758012820513; test accuracy: 0.3145 2025-09-25 01:37:30 [INFO] Round 18 Finish--------| 2025-09-25 01:37:30 [INFO] Model variance: mean: 0.002156602218747139, sum: 24097.76953125 2025-09-25 01:37:30 [INFO] g_protos_std: 0.9770326018333435 2025-09-25 01:37:39 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6353 2025-09-25 01:37:39 [INFO] Round 19 starts--------| 2025-09-25 01:37:39 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:38:34 [INFO] Epoch 19 loss: 386.81457471847534; train accuracy: 0.7696533203125; test accuracy: 0.3802 2025-09-25 01:38:34 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:38:51 [INFO] Epoch 19 loss: 113.41086387634277; train accuracy: 0.7481971153846154; test accuracy: 0.1086 2025-09-25 01:38:51 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:39:36 [INFO] Epoch 19 loss: 333.9674367904663; train accuracy: 0.705908203125; test accuracy: 0.324 2025-09-25 01:39:36 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:40:31 [INFO] Epoch 19 loss: 402.1046862602234; train accuracy: 0.6945703125; test accuracy: 0.4407 2025-09-25 01:40:31 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:41:14 [INFO] Epoch 19 loss: 310.9672169685364; train accuracy: 0.6704727564102564; test accuracy: 0.2661 2025-09-25 01:41:14 [INFO] Round 19 Finish--------| 2025-09-25 01:41:14 [INFO] Model variance: mean: 0.0022191277239471674, sum: 24796.42578125 2025-09-25 01:41:14 [INFO] g_protos_std: 0.97528475522995 2025-09-25 01:41:23 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6379 2025-09-25 01:41:23 [INFO] Round 20 starts--------| 2025-09-25 01:41:23 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:42:17 [INFO] Epoch 20 loss: 376.0015549659729; train accuracy: 0.843505859375; test accuracy: 0.4118 2025-09-25 01:42:17 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:42:34 [INFO] Epoch 20 loss: 112.95122814178467; train accuracy: 0.8072415865384616; test accuracy: 0.1396 2025-09-25 01:42:34 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:43:20 [INFO] Epoch 20 loss: 331.52138805389404; train accuracy: 0.7111328125; test accuracy: 0.3822 2025-09-25 01:43:21 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:44:18 [INFO] Epoch 20 loss: 404.67920207977295; train accuracy: 0.7669140625; test accuracy: 0.4963 2025-09-25 01:44:19 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:45:05 [INFO] Epoch 20 loss: 310.94306325912476; train accuracy: 0.814453125; test accuracy: 0.3244 2025-09-25 01:45:05 [INFO] Round 20 Finish--------| 2025-09-25 01:45:05 [INFO] Model variance: mean: 0.0022784422617405653, sum: 25459.203125 2025-09-25 01:45:05 [INFO] g_protos_std: 0.9735725522041321 2025-09-25 01:45:14 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6477 2025-09-25 01:45:14 [INFO] Round 21 starts--------| 2025-09-25 01:45:14 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:46:10 [INFO] Epoch 21 loss: 379.8941020965576; train accuracy: 0.8326009114583334; test accuracy: 0.4097 2025-09-25 01:46:10 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:46:28 [INFO] Epoch 21 loss: 112.72473907470703; train accuracy: 0.7931189903846154; test accuracy: 0.1284 2025-09-25 01:46:28 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:47:14 [INFO] Epoch 21 loss: 333.08072662353516; train accuracy: 0.786767578125; test accuracy: 0.3886 2025-09-25 01:47:14 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:48:09 [INFO] Epoch 21 loss: 395.0313911437988; train accuracy: 0.774921875; test accuracy: 0.5068 2025-09-25 01:48:09 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:48:54 [INFO] Epoch 21 loss: 309.9110655784607; train accuracy: 0.771484375; test accuracy: 0.3069 2025-09-25 01:48:54 [INFO] Round 21 Finish--------| 2025-09-25 01:48:54 [INFO] Model variance: mean: 0.0023367481771856546, sum: 26110.7109375 2025-09-25 01:48:54 [INFO] g_protos_std: 0.9718657732009888 2025-09-25 01:49:03 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6684 2025-09-25 01:49:03 [INFO] Round 22 starts--------| 2025-09-25 01:49:03 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:49:58 [INFO] Epoch 22 loss: 376.3553490638733; train accuracy: 0.7900390625; test accuracy: 0.3899 2025-09-25 01:49:58 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:50:15 [INFO] Epoch 22 loss: 114.02775287628174; train accuracy: 0.7373798076923077; test accuracy: 0.1064 2025-09-25 01:50:15 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:51:01 [INFO] Epoch 22 loss: 329.5731153488159; train accuracy: 0.740673828125; test accuracy: 0.4047 2025-09-25 01:51:01 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:51:58 [INFO] Epoch 22 loss: 397.82994318008423; train accuracy: 0.751953125; test accuracy: 0.4962 2025-09-25 01:51:58 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:52:44 [INFO] Epoch 22 loss: 306.24830436706543; train accuracy: 0.7907652243589743; test accuracy: 0.3138 2025-09-25 01:52:44 [INFO] Round 22 Finish--------| 2025-09-25 01:52:44 [INFO] Model variance: mean: 0.0023936450015753508, sum: 26746.474609375 2025-09-25 01:52:44 [INFO] g_protos_std: 0.9701809287071228 2025-09-25 01:52:52 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.667 2025-09-25 01:52:52 [INFO] Round 23 starts--------| 2025-09-25 01:52:52 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:53:48 [INFO] Epoch 23 loss: 374.05247735977173; train accuracy: 0.8494466145833334; test accuracy: 0.415 2025-09-25 01:53:48 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:54:04 [INFO] Epoch 23 loss: 111.98943042755127; train accuracy: 0.7890625; test accuracy: 0.1637 2025-09-25 01:54:04 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:54:49 [INFO] Epoch 23 loss: 330.7764844894409; train accuracy: 0.774658203125; test accuracy: 0.4319 2025-09-25 01:54:49 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:55:45 [INFO] Epoch 23 loss: 398.13622426986694; train accuracy: 0.808515625; test accuracy: 0.5131 2025-09-25 01:55:45 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:56:29 [INFO] Epoch 23 loss: 307.9058656692505; train accuracy: 0.7992788461538461; test accuracy: 0.3176 2025-09-25 01:56:29 [INFO] Round 23 Finish--------| 2025-09-25 01:56:29 [INFO] Model variance: mean: 0.0024496898986399174, sum: 27372.716796875 2025-09-25 01:56:29 [INFO] g_protos_std: 0.9684375524520874 2025-09-25 01:56:38 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6666 2025-09-25 01:56:38 [INFO] Round 24 starts--------| 2025-09-25 01:56:38 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:57:33 [INFO] Epoch 24 loss: 376.3593707084656; train accuracy: 0.7064615885416666; test accuracy: 0.3459 2025-09-25 01:57:33 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:57:51 [INFO] Epoch 24 loss: 112.43581008911133; train accuracy: 0.8028846153846154; test accuracy: 0.134 2025-09-25 01:57:51 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:58:34 [INFO] Epoch 24 loss: 327.98671102523804; train accuracy: 0.756494140625; test accuracy: 0.4051 2025-09-25 01:58:34 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:59:27 [INFO] Epoch 24 loss: 390.58901834487915; train accuracy: 0.74796875; test accuracy: 0.4521 2025-09-25 01:59:27 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:00:09 [INFO] Epoch 24 loss: 307.0868754386902; train accuracy: 0.8757011217948718; test accuracy: 0.3463 2025-09-25 02:00:09 [INFO] Round 24 Finish--------| 2025-09-25 02:00:09 [INFO] Model variance: mean: 0.002505624433979392, sum: 27997.7265625 2025-09-25 02:00:09 [INFO] g_protos_std: 0.9667114615440369 2025-09-25 02:00:17 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6699 2025-09-25 02:00:17 [INFO] Round 25 starts--------| 2025-09-25 02:00:17 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:01:12 [INFO] Epoch 25 loss: 370.7548670768738; train accuracy: 0.8651936848958334; test accuracy: 0.4228 2025-09-25 02:01:13 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:01:29 [INFO] Epoch 25 loss: 113.44371223449707; train accuracy: 0.8380408653846154; test accuracy: 0.1471 2025-09-25 02:01:30 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:02:16 [INFO] Epoch 25 loss: 324.9195885658264; train accuracy: 0.816064453125; test accuracy: 0.4053 2025-09-25 02:02:16 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:03:10 [INFO] Epoch 25 loss: 393.2287368774414; train accuracy: 0.786953125; test accuracy: 0.4681 2025-09-25 02:03:11 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:03:54 [INFO] Epoch 25 loss: 310.53358364105225; train accuracy: 0.5755709134615384; test accuracy: 0.2282 2025-09-25 02:03:55 [INFO] Round 25 Finish--------| 2025-09-25 02:03:55 [INFO] Model variance: mean: 0.002559119602665305, sum: 28595.48046875 2025-09-25 02:03:55 [INFO] g_protos_std: 0.965002715587616 2025-09-25 02:04:04 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.69 2025-09-25 02:04:04 [INFO] Round 26 starts--------| 2025-09-25 02:04:04 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:04:56 [INFO] Epoch 26 loss: 380.33136081695557; train accuracy: 0.8229166666666666; test accuracy: 0.4033 2025-09-25 02:04:56 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:05:13 [INFO] Epoch 26 loss: 112.59000492095947; train accuracy: 0.5764723557692307; test accuracy: 0.1374 2025-09-25 02:05:13 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:05:57 [INFO] Epoch 26 loss: 328.76331186294556; train accuracy: 0.74853515625; test accuracy: 0.3829 2025-09-25 02:05:57 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:06:51 [INFO] Epoch 26 loss: 389.18515253067017; train accuracy: 0.7677734375; test accuracy: 0.4398 2025-09-25 02:06:51 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:07:34 [INFO] Epoch 26 loss: 302.84501123428345; train accuracy: 0.8107972756410257; test accuracy: 0.3226 2025-09-25 02:07:34 [INFO] Round 26 Finish--------| 2025-09-25 02:07:34 [INFO] Model variance: mean: 0.002611925359815359, sum: 29185.529296875 2025-09-25 02:07:34 [INFO] g_protos_std: 0.9633070230484009 2025-09-25 02:07:43 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6784 2025-09-25 02:07:43 [INFO] Round 27 starts--------| 2025-09-25 02:07:43 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:08:34 [INFO] Epoch 27 loss: 372.9301424026489; train accuracy: 0.8563232421875; test accuracy: 0.4168 2025-09-25 02:08:34 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:08:50 [INFO] Epoch 27 loss: 111.60134601593018; train accuracy: 0.6245492788461539; test accuracy: 0.1366 2025-09-25 02:08:50 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:09:35 [INFO] Epoch 27 loss: 322.63325023651123; train accuracy: 0.61337890625; test accuracy: 0.3254 2025-09-25 02:09:35 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:10:29 [INFO] Epoch 27 loss: 387.6493525505066; train accuracy: 0.6993359375; test accuracy: 0.4618 2025-09-25 02:10:29 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:11:13 [INFO] Epoch 27 loss: 302.2830858230591; train accuracy: 0.8542167467948718; test accuracy: 0.3396 2025-09-25 02:11:13 [INFO] Round 27 Finish--------| 2025-09-25 02:11:13 [INFO] Model variance: mean: 0.002664976753294468, sum: 29778.322265625 2025-09-25 02:11:13 [INFO] g_protos_std: 0.9615743160247803 2025-09-25 02:11:22 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6939 2025-09-25 02:11:22 [INFO] Round 28 starts--------| 2025-09-25 02:11:22 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:12:14 [INFO] Epoch 28 loss: 368.119092464447; train accuracy: 0.8192138671875; test accuracy: 0.3989 2025-09-25 02:12:14 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:12:31 [INFO] Epoch 28 loss: 112.24646949768066; train accuracy: 0.8251201923076923; test accuracy: 0.1457 2025-09-25 02:12:31 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:13:15 [INFO] Epoch 28 loss: 321.5590982437134; train accuracy: 0.746728515625; test accuracy: 0.4132 2025-09-25 02:13:15 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:14:10 [INFO] Epoch 28 loss: 383.73119735717773; train accuracy: 0.8083203125; test accuracy: 0.4847 2025-09-25 02:14:10 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:14:53 [INFO] Epoch 28 loss: 308.5401711463928; train accuracy: 0.8131510416666666; test accuracy: 0.3214 2025-09-25 02:14:53 [INFO] Round 28 Finish--------| 2025-09-25 02:14:53 [INFO] Model variance: mean: 0.0027169547975063324, sum: 30359.12109375 2025-09-25 02:14:53 [INFO] g_protos_std: 0.9598561525344849 2025-09-25 02:15:02 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6915 2025-09-25 02:15:02 [INFO] Round 29 starts--------| 2025-09-25 02:15:02 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:15:55 [INFO] Epoch 29 loss: 362.0984516143799; train accuracy: 0.828369140625; test accuracy: 0.4069 2025-09-25 02:15:55 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:16:11 [INFO] Epoch 29 loss: 111.80750942230225; train accuracy: 0.7504507211538461; test accuracy: 0.1098 2025-09-25 02:16:11 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:16:56 [INFO] Epoch 29 loss: 323.8703899383545; train accuracy: 0.77158203125; test accuracy: 0.4352 2025-09-25 02:16:56 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:17:51 [INFO] Epoch 29 loss: 387.8568730354309; train accuracy: 0.8005078125; test accuracy: 0.4981 2025-09-25 02:17:51 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:18:34 [INFO] Epoch 29 loss: 298.9135627746582; train accuracy: 0.7943209134615384; test accuracy: 0.3149 2025-09-25 02:18:34 [INFO] Round 29 Finish--------| 2025-09-25 02:18:34 [INFO] Model variance: mean: 0.0027677775360643864, sum: 30927.01171875 2025-09-25 02:18:34 [INFO] g_protos_std: 0.9581122398376465 2025-09-25 02:18:43 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6896 2025-09-25 02:18:43 [INFO] Round 30 starts--------| 2025-09-25 02:18:43 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:19:37 [INFO] Epoch 30 loss: 366.86649084091187; train accuracy: 0.8138020833333334; test accuracy: 0.4009 2025-09-25 02:19:37 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:19:54 [INFO] Epoch 30 loss: 111.46060085296631; train accuracy: 0.7533052884615384; test accuracy: 0.1112 2025-09-25 02:19:54 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:20:38 [INFO] Epoch 30 loss: 320.07087755203247; train accuracy: 0.74619140625; test accuracy: 0.4186 2025-09-25 02:20:39 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:21:34 [INFO] Epoch 30 loss: 382.9016737937927; train accuracy: 0.71875; test accuracy: 0.4764 2025-09-25 02:21:34 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:22:19 [INFO] Epoch 30 loss: 296.211865901947; train accuracy: 0.8661858974358975; test accuracy: 0.3416 2025-09-25 02:22:20 [INFO] Round 30 Finish--------| 2025-09-25 02:22:20 [INFO] Model variance: mean: 0.0028180687222629786, sum: 31488.96484375 2025-09-25 02:22:20 [INFO] g_protos_std: 0.9563918709754944 2025-09-25 02:22:29 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7102 2025-09-25 02:22:29 [INFO] Round 31 starts--------| 2025-09-25 02:22:29 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:23:25 [INFO] Epoch 31 loss: 363.7234582901001; train accuracy: 0.8668212890625; test accuracy: 0.4289 2025-09-25 02:23:25 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:23:42 [INFO] Epoch 31 loss: 112.3851900100708; train accuracy: 0.5869891826923077; test accuracy: 0.1386 2025-09-25 02:23:42 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:24:27 [INFO] Epoch 31 loss: 313.6374988555908; train accuracy: 0.703857421875; test accuracy: 0.431 2025-09-25 02:24:27 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:25:24 [INFO] Epoch 31 loss: 380.57375383377075; train accuracy: 0.799921875; test accuracy: 0.5199 2025-09-25 02:25:24 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:26:07 [INFO] Epoch 31 loss: 302.193585395813; train accuracy: 0.8204627403846154; test accuracy: 0.3246 2025-09-25 02:26:07 [INFO] Round 31 Finish--------| 2025-09-25 02:26:07 [INFO] Model variance: mean: 0.002868249546736479, sum: 32049.68359375 2025-09-25 02:26:07 [INFO] g_protos_std: 0.9546381235122681 2025-09-25 02:26:16 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7131 2025-09-25 02:26:16 [INFO] Round 32 starts--------| 2025-09-25 02:26:16 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:27:09 [INFO] Epoch 32 loss: 363.5642547607422; train accuracy: 0.8883056640625; test accuracy: 0.4308 2025-09-25 02:27:09 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:27:26 [INFO] Epoch 32 loss: 111.82136821746826; train accuracy: 0.7478966346153846; test accuracy: 0.1095 2025-09-25 02:27:26 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:28:09 [INFO] Epoch 32 loss: 322.58599042892456; train accuracy: 0.814892578125; test accuracy: 0.4451 2025-09-25 02:28:09 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:29:04 [INFO] Epoch 32 loss: 382.33029651641846; train accuracy: 0.77625; test accuracy: 0.5078 2025-09-25 02:29:04 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:29:48 [INFO] Epoch 32 loss: 298.5770835876465; train accuracy: 0.8505608974358975; test accuracy: 0.3348 2025-09-25 02:29:48 [INFO] Round 32 Finish--------| 2025-09-25 02:29:48 [INFO] Model variance: mean: 0.002915543271228671, sum: 32578.140625 2025-09-25 02:29:48 [INFO] g_protos_std: 0.9529349207878113 2025-09-25 02:29:57 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6999 2025-09-25 02:29:57 [INFO] Round 33 starts--------| 2025-09-25 02:29:57 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:30:49 [INFO] Epoch 33 loss: 360.36370849609375; train accuracy: 0.8931070963541666; test accuracy: 0.4348 2025-09-25 02:30:49 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:31:06 [INFO] Epoch 33 loss: 111.07821655273438; train accuracy: 0.8215144230769231; test accuracy: 0.1433 2025-09-25 02:31:06 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:31:50 [INFO] Epoch 33 loss: 323.8897285461426; train accuracy: 0.7466796875; test accuracy: 0.3786 2025-09-25 02:31:50 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:32:45 [INFO] Epoch 33 loss: 375.7988142967224; train accuracy: 0.7925; test accuracy: 0.5042 2025-09-25 02:32:45 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:33:27 [INFO] Epoch 33 loss: 296.39327335357666; train accuracy: 0.8723457532051282; test accuracy: 0.3457 2025-09-25 02:33:27 [INFO] Round 33 Finish--------| 2025-09-25 02:33:27 [INFO] Model variance: mean: 0.002964141545817256, sum: 33121.17578125 2025-09-25 02:33:27 [INFO] g_protos_std: 0.9511980414390564 2025-09-25 02:33:36 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7075 2025-09-25 02:33:36 [INFO] Round 34 starts--------| 2025-09-25 02:33:36 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:34:28 [INFO] Epoch 34 loss: 361.9299101829529; train accuracy: 0.8780924479166666; test accuracy: 0.4261 2025-09-25 02:34:28 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:34:45 [INFO] Epoch 34 loss: 112.13030338287354; train accuracy: 0.8275240384615384; test accuracy: 0.1507 2025-09-25 02:34:45 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:35:27 [INFO] Epoch 34 loss: 318.50617122650146; train accuracy: 0.79599609375; test accuracy: 0.414 2025-09-25 02:35:27 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:36:18 [INFO] Epoch 34 loss: 379.40685081481934; train accuracy: 0.7458203125; test accuracy: 0.4733 2025-09-25 02:36:18 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:36:59 [INFO] Epoch 34 loss: 298.22767210006714; train accuracy: 0.842598157051282; test accuracy: 0.3349 2025-09-25 02:36:59 [INFO] Round 34 Finish--------| 2025-09-25 02:36:59 [INFO] Model variance: mean: 0.003010622225701809, sum: 33640.546875 2025-09-25 02:36:59 [INFO] g_protos_std: 0.9494765996932983 2025-09-25 02:37:07 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7096 2025-09-25 02:37:07 [INFO] Round 35 starts--------| 2025-09-25 02:37:07 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:37:57 [INFO] Epoch 35 loss: 358.20355701446533; train accuracy: 0.825439453125; test accuracy: 0.4068 2025-09-25 02:37:57 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:38:14 [INFO] Epoch 35 loss: 111.75574684143066; train accuracy: 0.7182992788461539; test accuracy: 0.1552 2025-09-25 02:38:14 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:38:59 [INFO] Epoch 35 loss: 319.73312044143677; train accuracy: 0.808984375; test accuracy: 0.4197 2025-09-25 02:39:00 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:39:55 [INFO] Epoch 35 loss: 379.0152335166931; train accuracy: 0.7708984375; test accuracy: 0.4812 2025-09-25 02:39:56 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:40:40 [INFO] Epoch 35 loss: 296.82000207901; train accuracy: 0.8225661057692307; test accuracy: 0.3257 2025-09-25 02:40:40 [INFO] Round 35 Finish--------| 2025-09-25 02:40:40 [INFO] Model variance: mean: 0.0030576547142118216, sum: 34166.0859375 2025-09-25 02:40:40 [INFO] g_protos_std: 0.9477582573890686 2025-09-25 02:40:49 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7168 2025-09-25 02:40:49 [INFO] Round 36 starts--------| 2025-09-25 02:40:49 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:41:41 [INFO] Epoch 36 loss: 354.84426641464233; train accuracy: 0.85693359375; test accuracy: 0.4225 2025-09-25 02:41:41 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:41:59 [INFO] Epoch 36 loss: 110.4043197631836; train accuracy: 0.7889122596153846; test accuracy: 0.1237 2025-09-25 02:41:59 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:42:43 [INFO] Epoch 36 loss: 311.56645917892456; train accuracy: 0.770068359375; test accuracy: 0.4187 2025-09-25 02:42:43 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:43:37 [INFO] Epoch 36 loss: 374.3693833351135; train accuracy: 0.810078125; test accuracy: 0.5178 2025-09-25 02:43:37 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:44:20 [INFO] Epoch 36 loss: 294.1402564048767; train accuracy: 0.8819110576923077; test accuracy: 0.3472 2025-09-25 02:44:20 [INFO] Round 36 Finish--------| 2025-09-25 02:44:20 [INFO] Model variance: mean: 0.00310440082103014, sum: 34688.42578125 2025-09-25 02:44:20 [INFO] g_protos_std: 0.9460078477859497 2025-09-25 02:44:29 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7334 2025-09-25 02:44:29 [INFO] Round 37 starts--------| 2025-09-25 02:44:29 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:45:23 [INFO] Epoch 37 loss: 354.7580828666687; train accuracy: 0.860107421875; test accuracy: 0.4221 2025-09-25 02:45:23 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:45:40 [INFO] Epoch 37 loss: 111.05290412902832; train accuracy: 0.8345853365384616; test accuracy: 0.1625 2025-09-25 02:45:40 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:46:27 [INFO] Epoch 37 loss: 321.4683156013489; train accuracy: 0.815478515625; test accuracy: 0.4643 2025-09-25 02:46:27 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:47:23 [INFO] Epoch 37 loss: 377.97518253326416; train accuracy: 0.73109375; test accuracy: 0.4397 2025-09-25 02:47:23 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:48:07 [INFO] Epoch 37 loss: 295.43434476852417; train accuracy: 0.8584735576923077; test accuracy: 0.3373 2025-09-25 02:48:07 [INFO] Round 37 Finish--------| 2025-09-25 02:48:07 [INFO] Model variance: mean: 0.003148875432088971, sum: 35185.3828125 2025-09-25 02:48:07 [INFO] g_protos_std: 0.9443053007125854 2025-09-25 02:48:16 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7252 2025-09-25 02:48:16 [INFO] Round 38 starts--------| 2025-09-25 02:48:16 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:49:10 [INFO] Epoch 38 loss: 352.1975393295288; train accuracy: 0.8991292317708334; test accuracy: 0.4442 2025-09-25 02:49:10 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:49:27 [INFO] Epoch 38 loss: 110.92198371887207; train accuracy: 0.791015625; test accuracy: 0.1552 2025-09-25 02:49:27 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:50:15 [INFO] Epoch 38 loss: 310.4802598953247; train accuracy: 0.605224609375; test accuracy: 0.3648 2025-09-25 02:50:15 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:51:12 [INFO] Epoch 38 loss: 372.28792095184326; train accuracy: 0.780625; test accuracy: 0.4982 2025-09-25 02:51:12 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:51:58 [INFO] Epoch 38 loss: 290.85429096221924; train accuracy: 0.8581229967948718; test accuracy: 0.3367 2025-09-25 02:51:58 [INFO] Round 38 Finish--------| 2025-09-25 02:51:58 [INFO] Model variance: mean: 0.0031952066347002983, sum: 35703.0859375 2025-09-25 02:51:58 [INFO] g_protos_std: 0.9425596594810486 2025-09-25 02:52:07 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7396 2025-09-25 02:52:07 [INFO] Round 39 starts--------| 2025-09-25 02:52:07 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:53:03 [INFO] Epoch 39 loss: 352.908597946167; train accuracy: 0.8988037109375; test accuracy: 0.433 2025-09-25 02:53:03 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:53:20 [INFO] Epoch 39 loss: 111.30329322814941; train accuracy: 0.8524639423076923; test accuracy: 0.1581 2025-09-25 02:53:20 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:54:07 [INFO] Epoch 39 loss: 314.2889266014099; train accuracy: 0.6671875; test accuracy: 0.4121 2025-09-25 02:54:07 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:55:02 [INFO] Epoch 39 loss: 370.29631900787354; train accuracy: 0.8503515625; test accuracy: 0.53 2025-09-25 02:55:02 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:55:45 [INFO] Epoch 39 loss: 293.7109971046448; train accuracy: 0.8756009615384616; test accuracy: 0.3449 2025-09-25 02:55:45 [INFO] Round 39 Finish--------| 2025-09-25 02:55:45 [INFO] Model variance: mean: 0.00323861395008862, sum: 36188.1171875 2025-09-25 02:55:45 [INFO] g_protos_std: 0.9408292174339294 2025-09-25 02:55:54 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7287 2025-09-25 02:55:54 [INFO] Round 40 starts--------| 2025-09-25 02:55:54 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:56:47 [INFO] Epoch 40 loss: 349.509238243103; train accuracy: 0.8655192057291666; test accuracy: 0.4222 2025-09-25 02:56:47 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:57:03 [INFO] Epoch 40 loss: 110.82562828063965; train accuracy: 0.8623798076923077; test accuracy: 0.1559 2025-09-25 02:57:03 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:57:46 [INFO] Epoch 40 loss: 308.01414823532104; train accuracy: 0.813818359375; test accuracy: 0.4442 2025-09-25 02:57:47 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:58:38 [INFO] Epoch 40 loss: 364.5778293609619; train accuracy: 0.8026171875; test accuracy: 0.482 2025-09-25 02:58:39 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:59:22 [INFO] Epoch 40 loss: 289.0030303001404; train accuracy: 0.8901241987179487; test accuracy: 0.3495 2025-09-25 02:59:23 [INFO] Round 40 Finish--------| 2025-09-25 02:59:23 [INFO] Model variance: mean: 0.0032845379319041967, sum: 36701.26953125 2025-09-25 02:59:23 [INFO] g_protos_std: 0.9390506744384766 2025-09-25 02:59:32 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7389 2025-09-25 02:59:32 [INFO] Round 41 starts--------| 2025-09-25 02:59:32 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:00:25 [INFO] Epoch 41 loss: 349.8749933242798; train accuracy: 0.8820393880208334; test accuracy: 0.4353 2025-09-25 03:00:25 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:00:42 [INFO] Epoch 41 loss: 111.51977157592773; train accuracy: 0.7729867788461539; test accuracy: 0.1177 2025-09-25 03:00:42 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:01:26 [INFO] Epoch 41 loss: 313.15505027770996; train accuracy: 0.845556640625; test accuracy: 0.4489 2025-09-25 03:01:26 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:02:19 [INFO] Epoch 41 loss: 367.4705023765564; train accuracy: 0.8257421875; test accuracy: 0.5055 2025-09-25 03:02:19 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:03:03 [INFO] Epoch 41 loss: 288.83569526672363; train accuracy: 0.8335837339743589; test accuracy: 0.3304 2025-09-25 03:03:03 [INFO] Round 41 Finish--------| 2025-09-25 03:03:03 [INFO] Model variance: mean: 0.0033280595671385527, sum: 37187.578125 2025-09-25 03:03:03 [INFO] g_protos_std: 0.9373196959495544 2025-09-25 03:03:12 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7425 2025-09-25 03:03:12 [INFO] Round 42 starts--------| 2025-09-25 03:03:12 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:04:06 [INFO] Epoch 42 loss: 352.1746234893799; train accuracy: 0.9016927083333334; test accuracy: 0.4328 2025-09-25 03:04:06 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:04:22 [INFO] Epoch 42 loss: 110.59216403961182; train accuracy: 0.8455528846153846; test accuracy: 0.1482 2025-09-25 03:04:22 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:05:08 [INFO] Epoch 42 loss: 305.9170846939087; train accuracy: 0.78828125; test accuracy: 0.438 2025-09-25 03:05:08 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:06:03 [INFO] Epoch 42 loss: 364.56182289123535; train accuracy: 0.8825390625; test accuracy: 0.5542 2025-09-25 03:06:03 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:06:47 [INFO] Epoch 42 loss: 292.7957901954651; train accuracy: 0.8393930288461539; test accuracy: 0.3299 2025-09-25 03:06:47 [INFO] Round 42 Finish--------| 2025-09-25 03:06:47 [INFO] Model variance: mean: 0.0033716249745339155, sum: 37674.375 2025-09-25 03:06:47 [INFO] g_protos_std: 0.935569167137146 2025-09-25 03:06:56 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7402 2025-09-25 03:06:56 [INFO] Round 43 starts--------| 2025-09-25 03:06:56 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:07:48 [INFO] Epoch 43 loss: 349.68472146987915; train accuracy: 0.8994954427083334; test accuracy: 0.441 2025-09-25 03:07:48 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:08:05 [INFO] Epoch 43 loss: 110.24975395202637; train accuracy: 0.7937199519230769; test accuracy: 0.1571 2025-09-25 03:08:05 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:08:49 [INFO] Epoch 43 loss: 310.46863985061646; train accuracy: 0.74599609375; test accuracy: 0.3963 2025-09-25 03:08:49 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:09:43 [INFO] Epoch 43 loss: 367.44605255126953; train accuracy: 0.776328125; test accuracy: 0.4668 2025-09-25 03:09:43 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:10:26 [INFO] Epoch 43 loss: 286.7513675689697; train accuracy: 0.8618289262820513; test accuracy: 0.3395 2025-09-25 03:10:26 [INFO] Round 43 Finish--------| 2025-09-25 03:10:26 [INFO] Model variance: mean: 0.003414259757846594, sum: 38150.7734375 2025-09-25 03:10:26 [INFO] g_protos_std: 0.9338232278823853 2025-09-25 03:10:35 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7338 2025-09-25 03:10:35 [INFO] Round 44 starts--------| 2025-09-25 03:10:35 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:11:27 [INFO] Epoch 44 loss: 348.02121591567993; train accuracy: 0.8931884765625; test accuracy: 0.4322 2025-09-25 03:11:27 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:11:45 [INFO] Epoch 44 loss: 109.30460834503174; train accuracy: 0.716796875; test accuracy: 0.1566 2025-09-25 03:11:45 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:12:30 [INFO] Epoch 44 loss: 308.3379693031311; train accuracy: 0.80625; test accuracy: 0.4447 2025-09-25 03:12:30 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:13:23 [INFO] Epoch 44 loss: 370.42055225372314; train accuracy: 0.818515625; test accuracy: 0.5223 2025-09-25 03:13:23 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:14:08 [INFO] Epoch 44 loss: 287.98918294906616; train accuracy: 0.8754507211538461; test accuracy: 0.3435 2025-09-25 03:14:08 [INFO] Round 44 Finish--------| 2025-09-25 03:14:08 [INFO] Model variance: mean: 0.003456911537796259, sum: 38627.36328125 2025-09-25 03:14:08 [INFO] g_protos_std: 0.9321130514144897 2025-09-25 03:14:16 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7449 2025-09-25 03:14:16 [INFO] Round 45 starts--------| 2025-09-25 03:14:16 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:15:08 [INFO] Epoch 45 loss: 349.1533250808716; train accuracy: 0.9150390625; test accuracy: 0.4666 2025-09-25 03:15:09 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:15:25 [INFO] Epoch 45 loss: 109.68014812469482; train accuracy: 0.8557692307692307; test accuracy: 0.1643 2025-09-25 03:15:26 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:16:10 [INFO] Epoch 45 loss: 303.3593873977661; train accuracy: 0.756494140625; test accuracy: 0.4016 2025-09-25 03:16:10 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:17:04 [INFO] Epoch 45 loss: 367.3938088417053; train accuracy: 0.862109375; test accuracy: 0.5501 2025-09-25 03:17:04 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:17:48 [INFO] Epoch 45 loss: 288.0779848098755; train accuracy: 0.8577724358974359; test accuracy: 0.3364 2025-09-25 03:17:48 [INFO] Round 45 Finish--------| 2025-09-25 03:17:48 [INFO] Model variance: mean: 0.0034989442210644484, sum: 39097.03515625 2025-09-25 03:17:48 [INFO] g_protos_std: 0.9303708672523499 2025-09-25 03:17:57 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7469 2025-09-25 03:17:57 [INFO] Round 46 starts--------| 2025-09-25 03:17:57 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:18:47 [INFO] Epoch 46 loss: 352.61885499954224; train accuracy: 0.9063720703125; test accuracy: 0.4357 2025-09-25 03:18:47 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:19:03 [INFO] Epoch 46 loss: 109.99947261810303; train accuracy: 0.7671274038461539; test accuracy: 0.1541 2025-09-25 03:19:03 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:19:48 [INFO] Epoch 46 loss: 303.7676501274109; train accuracy: 0.77431640625; test accuracy: 0.4273 2025-09-25 03:19:48 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:20:41 [INFO] Epoch 46 loss: 365.6222577095032; train accuracy: 0.8273046875; test accuracy: 0.5313 2025-09-25 03:20:41 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:21:24 [INFO] Epoch 46 loss: 285.50947666168213; train accuracy: 0.8789563301282052; test accuracy: 0.3465 2025-09-25 03:21:24 [INFO] Round 46 Finish--------| 2025-09-25 03:21:24 [INFO] Model variance: mean: 0.003540458856150508, sum: 39560.91796875 2025-09-25 03:21:24 [INFO] g_protos_std: 0.928669273853302 2025-09-25 03:21:33 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7456 2025-09-25 03:21:33 [INFO] Round 47 starts--------| 2025-09-25 03:21:33 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:22:26 [INFO] Epoch 47 loss: 344.79975271224976; train accuracy: 0.9274495442708334; test accuracy: 0.451 2025-09-25 03:22:26 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:22:43 [INFO] Epoch 47 loss: 109.34115314483643; train accuracy: 0.8401442307692307; test accuracy: 0.1449 2025-09-25 03:22:43 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:23:26 [INFO] Epoch 47 loss: 306.3670029640198; train accuracy: 0.82724609375; test accuracy: 0.4375 2025-09-25 03:23:26 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:24:18 [INFO] Epoch 47 loss: 358.87293910980225; train accuracy: 0.85984375; test accuracy: 0.5542 2025-09-25 03:24:18 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:25:02 [INFO] Epoch 47 loss: 284.8566184043884; train accuracy: 0.8738982371794872; test accuracy: 0.3427 2025-09-25 03:25:02 [INFO] Round 47 Finish--------| 2025-09-25 03:25:02 [INFO] Model variance: mean: 0.003581613302230835, sum: 40020.7734375 2025-09-25 03:25:02 [INFO] g_protos_std: 0.9269425868988037 2025-09-25 03:25:11 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7429 2025-09-25 03:25:11 [INFO] Round 48 starts--------| 2025-09-25 03:25:11 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:26:04 [INFO] Epoch 48 loss: 344.24630308151245; train accuracy: 0.8902587890625; test accuracy: 0.4308 2025-09-25 03:26:04 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:26:21 [INFO] Epoch 48 loss: 110.19005680084229; train accuracy: 0.8173076923076923; test accuracy: 0.1371 2025-09-25 03:26:21 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:27:06 [INFO] Epoch 48 loss: 304.2320280075073; train accuracy: 0.85703125; test accuracy: 0.4402 2025-09-25 03:27:06 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:28:01 [INFO] Epoch 48 loss: 364.68793869018555; train accuracy: 0.8751953125; test accuracy: 0.5374 2025-09-25 03:28:01 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:28:45 [INFO] Epoch 48 loss: 288.2083668708801; train accuracy: 0.8477564102564102; test accuracy: 0.3299 2025-09-25 03:28:45 [INFO] Round 48 Finish--------| 2025-09-25 03:28:45 [INFO] Model variance: mean: 0.0036218378227204084, sum: 40470.2421875 2025-09-25 03:28:45 [INFO] g_protos_std: 0.9252445101737976 2025-09-25 03:28:54 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7506 2025-09-25 03:28:54 [INFO] Round 49 starts--------| 2025-09-25 03:28:54 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:29:47 [INFO] Epoch 49 loss: 349.36681032180786; train accuracy: 0.8813069661458334; test accuracy: 0.4256 2025-09-25 03:29:47 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:30:03 [INFO] Epoch 49 loss: 110.92463111877441; train accuracy: 0.7907151442307693; test accuracy: 0.126 2025-09-25 03:30:03 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:30:48 [INFO] Epoch 49 loss: 299.35122203826904; train accuracy: 0.8021484375; test accuracy: 0.4453 2025-09-25 03:30:48 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:31:43 [INFO] Epoch 49 loss: 359.62333726882935; train accuracy: 0.7851171875; test accuracy: 0.4824 2025-09-25 03:31:43 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:32:23 [INFO] Epoch 49 loss: 285.12149810791016; train accuracy: 0.9280348557692307; test accuracy: 0.3605 2025-09-25 03:32:23 [INFO] Round 49 Finish--------| 2025-09-25 03:32:23 [INFO] Model variance: mean: 0.003661916358396411, sum: 40918.078125 2025-09-25 03:32:23 [INFO] g_protos_std: 0.9235285520553589 2025-09-25 03:32:32 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7449 2025-09-25 03:32:32 [INFO] Round 50 starts--------| 2025-09-25 03:32:32 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:33:25 [INFO] Epoch 50 loss: 340.4090385437012; train accuracy: 0.9088134765625; test accuracy: 0.4408 2025-09-25 03:33:25 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:33:41 [INFO] Epoch 50 loss: 110.26754474639893; train accuracy: 0.8557692307692307; test accuracy: 0.1558 2025-09-25 03:33:42 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:34:26 [INFO] Epoch 50 loss: 299.15621042251587; train accuracy: 0.838134765625; test accuracy: 0.4611 2025-09-25 03:34:26 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:35:19 [INFO] Epoch 50 loss: 359.7766590118408; train accuracy: 0.847265625; test accuracy: 0.5185 2025-09-25 03:35:20 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:36:02 [INFO] Epoch 50 loss: 287.01074600219727; train accuracy: 0.9043469551282052; test accuracy: 0.3515 2025-09-25 03:36:02 [INFO] Round 50 Finish--------| 2025-09-25 03:36:02 [INFO] Model variance: mean: 0.0037026137579232454, sum: 41372.828125 2025-09-25 03:36:02 [INFO] g_protos_std: 0.9217744469642639 2025-09-25 03:36:11 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7613 2025-09-25 00:25:25 [INFO] Load config from ./configs/CIFAR10_alpha0.3.yaml 2025-09-25 00:25:25 [INFO] config: {'exp_name': 'CIFAR10_alpha0.3', 'dataset': {'data_name': 'CIFAR10', 'root_path': 'H:/codes/dataset', 'train_batch_size': 512, 'test_batch_size': 256, 'channels': 3, 'num_classes': 10, 'image_size': 32}, 'distribution': {'type': 'dirichlet', 'label_num_per_client': 2, 'alpha': 0.3}, 'client': {'num_clients': 5}, 'server': {'num_rounds': 300, 'frac_clients': 1.0, 'lr': 0.05, 'local_epochs': 1, 'optimizer': 'sgd', 'momentum': 0.9, 'weight_decay': 0.0001, 'loss_name': 'ce', 'model_name': 'resnet18', 'aggregated_by_datasize': True, 'lr_decay_per_round': 0.998}, 'device': 'cuda:0', 'checkpoint': {'save_path': './checkpoints/', 'save_freq': 5, 'result_file': 'CIFAR10_results.yaml'}, 'pretrain': {'lr': 0.01, 'epoch': 70, 'model_path': './pretrain/', 'momentum': 0.9, 'weight_decay': 0.0001, 'model_name': 'resnet18', 'model_file_name': 'resnet18-f37072fd.pth'}, 'DBCD': {'alpha_l_pa': 1, 'alpha_l_pb': 1, 'alpha_l_pc': 0.0, 'Beta_alpha': 0.2, 'unsup_method': 'infonce', 'contrastive_temperature': 0.5, 'encoder_epoch': 40, 'projector_epoch': 10, 'use_pretrain': False, 'aug_batch_size': 512, 'encoder_lr': 0.03, 'cls_optimizer': 'sgd', 'cls_lr': 0.05, 'supcon_temp': 0.07, 'super_gr': 100, 'aux_with_public': True}, 'etf': {'loss_name': 'ce'}, 'visualization': {'interval': 5, 'save_path': 'visualization/resnet18', 'vis_size': 16}, 'resume': True, 'resume_best': False, 'seed': 1} 2025-09-25 00:25:27 [INFO] Dataset CIFAR10 loaded 2025-09-25 00:25:27 [INFO] Dataset index dict loaded from preprocessed_data/CIFAR10.pt 2025-09-25 00:25:28 [INFO] OneshotOursV5 with Decoupled Representation and Classifier Learning (DRCL) 2025-09-25 00:25:28 [INFO] Initialized fixed anchors with shape: torch.Size([10, 512]) 2025-09-25 00:25:28 [INFO] Round 0 starts--------| 2025-09-25 00:25:28 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:25:34 [INFO] generating sample per sample 2025-09-25 00:26:21 [INFO] Epoch 0 loss: 440.44547271728516; train accuracy: 0.2973375822368421; test accuracy: 0.115 2025-09-25 00:26:22 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:26:30 [INFO] generating sample per sample 2025-09-25 00:27:38 [INFO] Epoch 0 loss: 697.8107748031616; train accuracy: 0.3103578629032258; test accuracy: 0.2001 2025-09-25 00:27:39 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:27:48 [INFO] generating sample per sample 2025-09-25 00:29:02 [INFO] Epoch 0 loss: 790.8789176940918; train accuracy: 0.19511435688405798; test accuracy: 0.1424 2025-09-25 00:29:03 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:29:08 [INFO] generating sample per sample 2025-09-25 00:29:56 [INFO] Epoch 0 loss: 495.27711296081543; train accuracy: 0.40625; test accuracy: 0.232 2025-09-25 00:29:56 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:30:02 [INFO] generating sample per sample 2025-09-25 00:30:56 [INFO] Epoch 0 loss: 544.934910774231; train accuracy: 0.4178125; test accuracy: 0.2144 2025-09-25 00:30:57 [INFO] Round 0 Finish--------| 2025-09-25 00:30:57 [INFO] Model variance: mean: 0.0006139196339063346, sum: 6859.908203125 2025-09-25 00:30:57 [INFO] g_protos_std: 1.0044386386871338 2025-09-25 00:31:06 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.2968 2025-09-25 00:31:06 [INFO] Round 1 starts--------| 2025-09-25 00:31:06 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:31:48 [INFO] Epoch 1 loss: 394.78736782073975; train accuracy: 0.2640316611842105; test accuracy: 0.1057 2025-09-25 00:31:48 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:32:59 [INFO] Epoch 1 loss: 651.6296482086182; train accuracy: 0.23686365927419356; test accuracy: 0.1533 2025-09-25 00:32:59 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:34:17 [INFO] Epoch 1 loss: 742.8369092941284; train accuracy: 0.3233129528985507; test accuracy: 0.2347 2025-09-25 00:34:17 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:35:08 [INFO] Epoch 1 loss: 451.9696168899536; train accuracy: 0.34126420454545453; test accuracy: 0.1671 2025-09-25 00:35:09 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:36:03 [INFO] Epoch 1 loss: 503.6269578933716; train accuracy: 0.3044921875; test accuracy: 0.1608 2025-09-25 00:36:03 [INFO] Round 1 Finish--------| 2025-09-25 00:36:03 [INFO] Model variance: mean: 0.0008351924479939044, sum: 9332.400390625 2025-09-25 00:36:03 [INFO] g_protos_std: 1.0023680925369263 2025-09-25 00:36:12 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.3819 2025-09-25 00:36:12 [INFO] Round 2 starts--------| 2025-09-25 00:36:12 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:36:55 [INFO] Epoch 2 loss: 392.1287546157837; train accuracy: 0.42660361842105265; test accuracy: 0.1715 2025-09-25 00:36:55 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:38:04 [INFO] Epoch 2 loss: 625.613263130188; train accuracy: 0.3327242943548387; test accuracy: 0.2182 2025-09-25 00:38:04 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:39:21 [INFO] Epoch 2 loss: 720.1833934783936; train accuracy: 0.3509680706521739; test accuracy: 0.2507 2025-09-25 00:39:21 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:40:11 [INFO] Epoch 2 loss: 435.6604166030884; train accuracy: 0.3892489346590909; test accuracy: 0.2204 2025-09-25 00:40:11 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:41:08 [INFO] Epoch 2 loss: 489.22743701934814; train accuracy: 0.4482421875; test accuracy: 0.2283 2025-09-25 00:41:08 [INFO] Round 2 Finish--------| 2025-09-25 00:41:08 [INFO] Model variance: mean: 0.0010102610103785992, sum: 11288.607421875 2025-09-25 00:41:08 [INFO] g_protos_std: 1.0002880096435547 2025-09-25 00:41:16 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.4399 2025-09-25 00:41:16 [INFO] Round 3 starts--------| 2025-09-25 00:41:16 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:42:00 [INFO] Epoch 3 loss: 383.36599254608154; train accuracy: 0.33465254934210525; test accuracy: 0.1457 2025-09-25 00:42:00 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:43:09 [INFO] Epoch 3 loss: 621.2055654525757; train accuracy: 0.48248487903225806; test accuracy: 0.3253 2025-09-25 00:43:09 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:44:28 [INFO] Epoch 3 loss: 706.0712194442749; train accuracy: 0.29809216485507245; test accuracy: 0.2146 2025-09-25 00:44:28 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:45:15 [INFO] Epoch 3 loss: 426.0282316207886; train accuracy: 0.40043501420454547; test accuracy: 0.2026 2025-09-25 00:45:15 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:46:10 [INFO] Epoch 3 loss: 478.457124710083; train accuracy: 0.4017578125; test accuracy: 0.2066 2025-09-25 00:46:10 [INFO] Round 3 Finish--------| 2025-09-25 00:46:10 [INFO] Model variance: mean: 0.0011681956239044666, sum: 13053.361328125 2025-09-25 00:46:10 [INFO] g_protos_std: 0.998138964176178 2025-09-25 00:46:19 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.4754 2025-09-25 00:46:19 [INFO] Round 4 starts--------| 2025-09-25 00:46:19 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:47:04 [INFO] Epoch 4 loss: 373.99594020843506; train accuracy: 0.5564864309210527; test accuracy: 0.226 2025-09-25 00:47:04 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:48:12 [INFO] Epoch 4 loss: 594.8919801712036; train accuracy: 0.5472215221774194; test accuracy: 0.3768 2025-09-25 00:48:12 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:49:28 [INFO] Epoch 4 loss: 692.3101081848145; train accuracy: 0.42569633152173914; test accuracy: 0.3054 2025-09-25 00:49:28 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:50:16 [INFO] Epoch 4 loss: 422.30813121795654; train accuracy: 0.3581764914772727; test accuracy: 0.1752 2025-09-25 00:50:16 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:51:11 [INFO] Epoch 4 loss: 465.79862880706787; train accuracy: 0.5580078125; test accuracy: 0.2883 2025-09-25 00:51:11 [INFO] Round 4 Finish--------| 2025-09-25 00:51:11 [INFO] Model variance: mean: 0.0013134597102180123, sum: 14676.53515625 2025-09-25 00:51:11 [INFO] g_protos_std: 0.9960055351257324 2025-09-25 00:51:20 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5271 2025-09-25 00:51:20 [INFO] Round 5 starts--------| 2025-09-25 00:51:20 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:52:05 [INFO] Epoch 5 loss: 373.8536729812622; train accuracy: 0.4047080592105263; test accuracy: 0.174 2025-09-25 00:52:06 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:53:15 [INFO] Epoch 5 loss: 576.0564346313477; train accuracy: 0.4444934475806452; test accuracy: 0.3104 2025-09-25 00:53:16 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:54:34 [INFO] Epoch 5 loss: 677.6283674240112; train accuracy: 0.46971240942028986; test accuracy: 0.3496 2025-09-25 00:54:34 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:55:26 [INFO] Epoch 5 loss: 417.28354835510254; train accuracy: 0.5313831676136364; test accuracy: 0.2988 2025-09-25 00:55:27 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:56:26 [INFO] Epoch 5 loss: 456.63825511932373; train accuracy: 0.5162109375; test accuracy: 0.2666 2025-09-25 00:56:27 [INFO] Round 5 Finish--------| 2025-09-25 00:56:27 [INFO] Model variance: mean: 0.001448236289434135, sum: 16182.5224609375 2025-09-25 00:56:27 [INFO] g_protos_std: 0.9938935041427612 2025-09-25 00:56:36 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5561 2025-09-25 00:56:36 [INFO] Round 6 starts--------| 2025-09-25 00:56:36 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:57:19 [INFO] Epoch 6 loss: 363.08805561065674; train accuracy: 0.45636307565789475; test accuracy: 0.2222 2025-09-25 00:57:19 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:58:28 [INFO] Epoch 6 loss: 570.9760427474976; train accuracy: 0.5164755544354839; test accuracy: 0.3894 2025-09-25 00:58:28 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:59:45 [INFO] Epoch 6 loss: 667.2616577148438; train accuracy: 0.5791440217391305; test accuracy: 0.4601 2025-09-25 00:59:45 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:00:35 [INFO] Epoch 6 loss: 405.5996799468994; train accuracy: 0.5646750710227273; test accuracy: 0.3125 2025-09-25 01:00:35 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:01:33 [INFO] Epoch 6 loss: 445.3091821670532; train accuracy: 0.4086328125; test accuracy: 0.2073 2025-09-25 01:01:33 [INFO] Round 6 Finish--------| 2025-09-25 01:01:33 [INFO] Model variance: mean: 0.001577828312292695, sum: 17630.578125 2025-09-25 01:01:33 [INFO] g_protos_std: 0.9917035102844238 2025-09-25 01:01:42 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5985 2025-09-25 01:01:42 [INFO] Round 7 starts--------| 2025-09-25 01:01:42 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:02:27 [INFO] Epoch 7 loss: 361.38672733306885; train accuracy: 0.37592516447368424; test accuracy: 0.1969 2025-09-25 01:02:27 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:03:37 [INFO] Epoch 7 loss: 556.2936410903931; train accuracy: 0.5774319556451613; test accuracy: 0.4035 2025-09-25 01:03:37 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:04:55 [INFO] Epoch 7 loss: 652.2194442749023; train accuracy: 0.5500169836956522; test accuracy: 0.4058 2025-09-25 01:04:55 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:05:46 [INFO] Epoch 7 loss: 395.14271354675293; train accuracy: 0.5971235795454546; test accuracy: 0.3343 2025-09-25 01:05:46 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:06:41 [INFO] Epoch 7 loss: 434.1483864784241; train accuracy: 0.7387890625; test accuracy: 0.3817 2025-09-25 01:06:41 [INFO] Round 7 Finish--------| 2025-09-25 01:06:41 [INFO] Model variance: mean: 0.0017051433678716421, sum: 19053.189453125 2025-09-25 01:06:41 [INFO] g_protos_std: 0.9895108342170715 2025-09-25 01:06:50 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6135 2025-09-25 01:06:50 [INFO] Round 8 starts--------| 2025-09-25 01:06:50 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:07:33 [INFO] Epoch 8 loss: 360.0579442977905; train accuracy: 0.4702919407894737; test accuracy: 0.2231 2025-09-25 01:07:33 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:08:46 [INFO] Epoch 8 loss: 551.1075191497803; train accuracy: 0.6271421370967742; test accuracy: 0.4349 2025-09-25 01:08:46 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:10:01 [INFO] Epoch 8 loss: 643.7035665512085; train accuracy: 0.5797384510869565; test accuracy: 0.4512 2025-09-25 01:10:01 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:10:50 [INFO] Epoch 8 loss: 399.5163173675537; train accuracy: 0.6283291903409091; test accuracy: 0.3579 2025-09-25 01:10:50 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:11:47 [INFO] Epoch 8 loss: 436.6772418022156; train accuracy: 0.60484375; test accuracy: 0.3152 2025-09-25 01:11:47 [INFO] Round 8 Finish--------| 2025-09-25 01:11:47 [INFO] Model variance: mean: 0.0018189317779615521, sum: 20324.65625 2025-09-25 01:11:47 [INFO] g_protos_std: 0.9873484969139099 2025-09-25 01:11:55 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6202 2025-09-25 01:11:55 [INFO] Round 9 starts--------| 2025-09-25 01:11:55 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:12:38 [INFO] Epoch 9 loss: 351.1494359970093; train accuracy: 0.4478310032894737; test accuracy: 0.2453 2025-09-25 01:12:38 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:13:48 [INFO] Epoch 9 loss: 541.8483295440674; train accuracy: 0.6209047379032258; test accuracy: 0.4561 2025-09-25 01:13:48 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:15:04 [INFO] Epoch 9 loss: 645.2647762298584; train accuracy: 0.6483525815217391; test accuracy: 0.481 2025-09-25 01:15:04 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:15:54 [INFO] Epoch 9 loss: 393.328387260437; train accuracy: 0.658203125; test accuracy: 0.3782 2025-09-25 01:15:54 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:16:49 [INFO] Epoch 9 loss: 432.7872200012207; train accuracy: 0.638359375; test accuracy: 0.331 2025-09-25 01:16:49 [INFO] Round 9 Finish--------| 2025-09-25 01:16:49 [INFO] Model variance: mean: 0.0019320354331284761, sum: 21588.470703125 2025-09-25 01:16:49 [INFO] g_protos_std: 0.9851881265640259 2025-09-25 01:16:57 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6374 2025-09-25 01:16:57 [INFO] Round 10 starts--------| 2025-09-25 01:16:57 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:17:41 [INFO] Epoch 10 loss: 347.55170726776123; train accuracy: 0.6264905427631579; test accuracy: 0.3174 2025-09-25 01:17:41 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:18:52 [INFO] Epoch 10 loss: 534.9831070899963; train accuracy: 0.5977192540322581; test accuracy: 0.4446 2025-09-25 01:18:53 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:20:09 [INFO] Epoch 10 loss: 626.5319128036499; train accuracy: 0.5493093297101449; test accuracy: 0.4262 2025-09-25 01:20:09 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:21:01 [INFO] Epoch 10 loss: 381.91286277770996; train accuracy: 0.6999289772727273; test accuracy: 0.3881 2025-09-25 01:21:01 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:21:58 [INFO] Epoch 10 loss: 419.34756660461426; train accuracy: 0.742734375; test accuracy: 0.3886 2025-09-25 01:21:58 [INFO] Round 10 Finish--------| 2025-09-25 01:21:58 [INFO] Model variance: mean: 0.0020414809696376324, sum: 22811.41015625 2025-09-25 01:21:58 [INFO] g_protos_std: 0.9829621315002441 2025-09-25 01:22:07 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6592 2025-09-25 01:22:07 [INFO] Round 11 starts--------| 2025-09-25 01:22:07 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:22:52 [INFO] Epoch 11 loss: 342.5184440612793; train accuracy: 0.4621710526315789; test accuracy: 0.2801 2025-09-25 01:22:52 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:24:03 [INFO] Epoch 11 loss: 528.0885219573975; train accuracy: 0.6785534274193549; test accuracy: 0.5164 2025-09-25 01:24:03 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:25:20 [INFO] Epoch 11 loss: 626.1825304031372; train accuracy: 0.6222826086956522; test accuracy: 0.4489 2025-09-25 01:25:20 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:26:10 [INFO] Epoch 11 loss: 384.04357051849365; train accuracy: 0.5763050426136364; test accuracy: 0.3491 2025-09-25 01:26:10 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:27:07 [INFO] Epoch 11 loss: 411.9311089515686; train accuracy: 0.7389453125; test accuracy: 0.3986 2025-09-25 01:27:07 [INFO] Round 11 Finish--------| 2025-09-25 01:27:07 [INFO] Model variance: mean: 0.0021457404363900423, sum: 23976.400390625 2025-09-25 01:27:07 [INFO] g_protos_std: 0.9807195067405701 2025-09-25 01:27:16 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6629 2025-09-25 01:27:16 [INFO] Round 12 starts--------| 2025-09-25 01:27:16 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:28:00 [INFO] Epoch 12 loss: 345.03472232818604; train accuracy: 0.39936266447368424; test accuracy: 0.2473 2025-09-25 01:28:00 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:29:07 [INFO] Epoch 12 loss: 518.6254143714905; train accuracy: 0.674836189516129; test accuracy: 0.4905 2025-09-25 01:29:07 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:30:24 [INFO] Epoch 12 loss: 621.0058431625366; train accuracy: 0.6480978260869565; test accuracy: 0.489 2025-09-25 01:30:24 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:31:15 [INFO] Epoch 12 loss: 376.64047288894653; train accuracy: 0.6617986505681818; test accuracy: 0.3884 2025-09-25 01:31:15 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:32:10 [INFO] Epoch 12 loss: 409.53289461135864; train accuracy: 0.81140625; test accuracy: 0.4251 2025-09-25 01:32:10 [INFO] Round 12 Finish--------| 2025-09-25 01:32:10 [INFO] Model variance: mean: 0.002245257841423154, sum: 25088.404296875 2025-09-25 01:32:10 [INFO] g_protos_std: 0.9784824252128601 2025-09-25 01:32:19 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6688 2025-09-25 01:32:19 [INFO] Round 13 starts--------| 2025-09-25 01:32:19 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:33:04 [INFO] Epoch 13 loss: 335.75868797302246; train accuracy: 0.6518297697368421; test accuracy: 0.395 2025-09-25 01:33:04 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:34:13 [INFO] Epoch 13 loss: 520.6588382720947; train accuracy: 0.7282321068548387; test accuracy: 0.5226 2025-09-25 01:34:13 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:35:32 [INFO] Epoch 13 loss: 615.743353843689; train accuracy: 0.6909816576086957; test accuracy: 0.5098 2025-09-25 01:35:32 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:36:22 [INFO] Epoch 13 loss: 374.50495624542236; train accuracy: 0.7234108664772727; test accuracy: 0.4807 2025-09-25 01:36:22 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:37:19 [INFO] Epoch 13 loss: 405.34782314300537; train accuracy: 0.75890625; test accuracy: 0.4086 2025-09-25 01:37:19 [INFO] Round 13 Finish--------| 2025-09-25 01:37:19 [INFO] Model variance: mean: 0.002342267194762826, sum: 26172.380859375 2025-09-25 01:37:19 [INFO] g_protos_std: 0.976239800453186 2025-09-25 01:37:28 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6957 2025-09-25 01:37:28 [INFO] Round 14 starts--------| 2025-09-25 01:37:28 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:38:09 [INFO] Epoch 14 loss: 334.1112051010132; train accuracy: 0.6575863486842105; test accuracy: 0.3524 2025-09-25 01:38:09 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:39:16 [INFO] Epoch 14 loss: 522.4117841720581; train accuracy: 0.7082283266129032; test accuracy: 0.5007 2025-09-25 01:39:16 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:40:31 [INFO] Epoch 14 loss: 597.085057258606; train accuracy: 0.6647135416666666; test accuracy: 0.4996 2025-09-25 01:40:31 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:41:20 [INFO] Epoch 14 loss: 378.9075779914856; train accuracy: 0.7584783380681818; test accuracy: 0.4705 2025-09-25 01:41:20 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:42:19 [INFO] Epoch 14 loss: 404.1835560798645; train accuracy: 0.683125; test accuracy: 0.3574 2025-09-25 01:42:19 [INFO] Round 14 Finish--------| 2025-09-25 01:42:19 [INFO] Model variance: mean: 0.0024351361207664013, sum: 27210.09375 2025-09-25 01:42:19 [INFO] g_protos_std: 0.9739930033683777 2025-09-25 01:42:28 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7009 2025-09-25 01:42:28 [INFO] Round 15 starts--------| 2025-09-25 01:42:28 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:43:12 [INFO] Epoch 15 loss: 331.06230545043945; train accuracy: 0.71875; test accuracy: 0.4335 2025-09-25 01:43:12 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:44:25 [INFO] Epoch 15 loss: 501.3328037261963; train accuracy: 0.6862399193548387; test accuracy: 0.5341 2025-09-25 01:44:25 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:45:42 [INFO] Epoch 15 loss: 591.5879645347595; train accuracy: 0.6456351902173914; test accuracy: 0.4786 2025-09-25 01:45:42 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:46:34 [INFO] Epoch 15 loss: 376.13679361343384; train accuracy: 0.7259854403409091; test accuracy: 0.4649 2025-09-25 01:46:34 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:47:31 [INFO] Epoch 15 loss: 396.6803984642029; train accuracy: 0.8304296875; test accuracy: 0.4489 2025-09-25 01:47:31 [INFO] Round 15 Finish--------| 2025-09-25 01:47:31 [INFO] Model variance: mean: 0.0025259586982429028, sum: 28224.94140625 2025-09-25 01:47:31 [INFO] g_protos_std: 0.9717313051223755 2025-09-25 01:47:41 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.703 2025-09-25 01:47:41 [INFO] Round 16 starts--------| 2025-09-25 01:47:41 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:48:25 [INFO] Epoch 16 loss: 326.4423999786377; train accuracy: 0.5610094572368421; test accuracy: 0.3183 2025-09-25 01:48:25 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:49:36 [INFO] Epoch 16 loss: 504.85852813720703; train accuracy: 0.691374747983871; test accuracy: 0.5068 2025-09-25 01:49:36 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:50:55 [INFO] Epoch 16 loss: 595.9193210601807; train accuracy: 0.6957370923913043; test accuracy: 0.5154 2025-09-25 01:50:55 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:51:45 [INFO] Epoch 16 loss: 370.6228051185608; train accuracy: 0.7856889204545454; test accuracy: 0.4775 2025-09-25 01:51:45 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:52:43 [INFO] Epoch 16 loss: 402.19857835769653; train accuracy: 0.68046875; test accuracy: 0.3699 2025-09-25 01:52:43 [INFO] Round 16 Finish--------| 2025-09-25 01:52:43 [INFO] Model variance: mean: 0.0026117288507521152, sum: 29183.33203125 2025-09-25 01:52:43 [INFO] g_protos_std: 0.9694802165031433 2025-09-25 01:52:51 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7291 2025-09-25 01:52:51 [INFO] Round 17 starts--------| 2025-09-25 01:52:51 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:53:37 [INFO] Epoch 17 loss: 328.308611869812; train accuracy: 0.6319387335526315; test accuracy: 0.4189 2025-09-25 01:53:37 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:54:47 [INFO] Epoch 17 loss: 508.6838541030884; train accuracy: 0.7298387096774194; test accuracy: 0.5362 2025-09-25 01:54:47 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:56:04 [INFO] Epoch 17 loss: 590.3608031272888; train accuracy: 0.7272418478260869; test accuracy: 0.5511 2025-09-25 01:56:04 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:56:52 [INFO] Epoch 17 loss: 369.19301652908325; train accuracy: 0.7198153409090909; test accuracy: 0.452 2025-09-25 01:56:52 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:57:48 [INFO] Epoch 17 loss: 394.3644104003906; train accuracy: 0.71796875; test accuracy: 0.3822 2025-09-25 01:57:48 [INFO] Round 17 Finish--------| 2025-09-25 01:57:48 [INFO] Model variance: mean: 0.002695860341191292, sum: 30123.4140625 2025-09-25 01:57:48 [INFO] g_protos_std: 0.9672430157661438 2025-09-25 01:57:57 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7177 2025-09-25 01:57:57 [INFO] Round 18 starts--------| 2025-09-25 01:57:57 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:58:42 [INFO] Epoch 18 loss: 326.9880266189575; train accuracy: 0.7034847861842105; test accuracy: 0.4424 2025-09-25 01:58:42 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:59:51 [INFO] Epoch 18 loss: 495.29330682754517; train accuracy: 0.6815776209677419; test accuracy: 0.5272 2025-09-25 01:59:51 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:01:09 [INFO] Epoch 18 loss: 588.8988656997681; train accuracy: 0.6864526721014492; test accuracy: 0.5089 2025-09-25 02:01:09 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:02:00 [INFO] Epoch 18 loss: 366.59775257110596; train accuracy: 0.7959872159090909; test accuracy: 0.4818 2025-09-25 02:02:00 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:02:54 [INFO] Epoch 18 loss: 390.0635461807251; train accuracy: 0.7912890625; test accuracy: 0.4427 2025-09-25 02:02:54 [INFO] Round 18 Finish--------| 2025-09-25 02:02:54 [INFO] Model variance: mean: 0.0027788677252829075, sum: 31050.93359375 2025-09-25 02:02:54 [INFO] g_protos_std: 0.9649797677993774 2025-09-25 02:03:03 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.735 2025-09-25 02:03:03 [INFO] Round 19 starts--------| 2025-09-25 02:03:03 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:03:46 [INFO] Epoch 19 loss: 320.82991456985474; train accuracy: 0.7009662828947368; test accuracy: 0.4469 2025-09-25 02:03:46 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:04:56 [INFO] Epoch 19 loss: 494.67839527130127; train accuracy: 0.795929939516129; test accuracy: 0.5865 2025-09-25 02:04:56 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:06:11 [INFO] Epoch 19 loss: 581.3980937004089; train accuracy: 0.7366961050724637; test accuracy: 0.5702 2025-09-25 02:06:11 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:07:02 [INFO] Epoch 19 loss: 364.7566981315613; train accuracy: 0.8193359375; test accuracy: 0.5254 2025-09-25 02:07:02 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:07:58 [INFO] Epoch 19 loss: 395.45764112472534; train accuracy: 0.7661328125; test accuracy: 0.43 2025-09-25 02:07:58 [INFO] Round 19 Finish--------| 2025-09-25 02:07:58 [INFO] Model variance: mean: 0.002860944252461195, sum: 31968.0546875 2025-09-25 02:07:58 [INFO] g_protos_std: 0.962706446647644 2025-09-25 02:08:07 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.741 2025-09-25 02:08:07 [INFO] Round 20 starts--------| 2025-09-25 02:08:07 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:08:48 [INFO] Epoch 20 loss: 320.79385232925415; train accuracy: 0.7171566611842105; test accuracy: 0.4192 2025-09-25 02:08:49 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:09:58 [INFO] Epoch 20 loss: 500.90174436569214; train accuracy: 0.7949848790322581; test accuracy: 0.5734 2025-09-25 02:09:59 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:11:15 [INFO] Epoch 20 loss: 573.2192788124084; train accuracy: 0.7641813858695652; test accuracy: 0.5838 2025-09-25 02:11:15 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:12:06 [INFO] Epoch 20 loss: 359.3490605354309; train accuracy: 0.7810724431818182; test accuracy: 0.4748 2025-09-25 02:12:07 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:13:03 [INFO] Epoch 20 loss: 392.06367015838623; train accuracy: 0.8325; test accuracy: 0.4677 2025-09-25 02:13:04 [INFO] Round 20 Finish--------| 2025-09-25 02:13:04 [INFO] Model variance: mean: 0.0029402419459074736, sum: 32854.12109375 2025-09-25 02:13:04 [INFO] g_protos_std: 0.9604411721229553 2025-09-25 02:13:13 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.742 2025-09-25 02:13:13 [INFO] Round 21 starts--------| 2025-09-25 02:13:13 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:13:57 [INFO] Epoch 21 loss: 316.7041988372803; train accuracy: 0.7227076480263158; test accuracy: 0.4949 2025-09-25 02:13:57 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:15:05 [INFO] Epoch 21 loss: 485.34053897857666; train accuracy: 0.7423450100806451; test accuracy: 0.5494 2025-09-25 02:15:05 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:16:24 [INFO] Epoch 21 loss: 573.7120127677917; train accuracy: 0.6828294836956522; test accuracy: 0.5205 2025-09-25 02:16:24 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:17:16 [INFO] Epoch 21 loss: 359.55423974990845; train accuracy: 0.8184481534090909; test accuracy: 0.5174 2025-09-25 02:17:16 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:18:14 [INFO] Epoch 21 loss: 388.093976020813; train accuracy: 0.7801953125; test accuracy: 0.4372 2025-09-25 02:18:14 [INFO] Round 21 Finish--------| 2025-09-25 02:18:14 [INFO] Model variance: mean: 0.0030180036555975676, sum: 33723.02734375 2025-09-25 02:18:14 [INFO] g_protos_std: 0.9581799507141113 2025-09-25 02:18:23 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7475 2025-09-25 02:18:23 [INFO] Round 22 starts--------| 2025-09-25 02:18:23 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:19:08 [INFO] Epoch 22 loss: 314.61432218551636; train accuracy: 0.7289782072368421; test accuracy: 0.4645 2025-09-25 02:19:08 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:20:19 [INFO] Epoch 22 loss: 487.3008804321289; train accuracy: 0.7323273689516129; test accuracy: 0.5577 2025-09-25 02:20:19 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:21:39 [INFO] Epoch 22 loss: 564.7343783378601; train accuracy: 0.7552083333333334; test accuracy: 0.5785 2025-09-25 02:21:39 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:22:32 [INFO] Epoch 22 loss: 355.4797201156616; train accuracy: 0.8043767755681818; test accuracy: 0.5243 2025-09-25 02:22:32 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:23:30 [INFO] Epoch 22 loss: 387.47183561325073; train accuracy: 0.80546875; test accuracy: 0.4559 2025-09-25 02:23:30 [INFO] Round 22 Finish--------| 2025-09-25 02:23:30 [INFO] Model variance: mean: 0.0030956342816352844, sum: 34590.46875 2025-09-25 02:23:30 [INFO] g_protos_std: 0.9558779001235962 2025-09-25 02:23:39 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7641 2025-09-25 02:23:39 [INFO] Round 23 starts--------| 2025-09-25 02:23:39 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:24:23 [INFO] Epoch 23 loss: 312.8163905143738; train accuracy: 0.752210115131579; test accuracy: 0.4578 2025-09-25 02:24:23 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:25:31 [INFO] Epoch 23 loss: 480.7464337348938; train accuracy: 0.7731854838709677; test accuracy: 0.565 2025-09-25 02:25:31 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:26:47 [INFO] Epoch 23 loss: 562.5885672569275; train accuracy: 0.6963881340579711; test accuracy: 0.5008 2025-09-25 02:26:47 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:27:40 [INFO] Epoch 23 loss: 348.2487668991089; train accuracy: 0.7721502130681818; test accuracy: 0.4827 2025-09-25 02:27:40 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:28:39 [INFO] Epoch 23 loss: 387.16976261138916; train accuracy: 0.851484375; test accuracy: 0.4788 2025-09-25 02:28:39 [INFO] Round 23 Finish--------| 2025-09-25 02:28:39 [INFO] Model variance: mean: 0.0031726157758384943, sum: 35450.65625 2025-09-25 02:28:39 [INFO] g_protos_std: 0.9535864591598511 2025-09-25 02:28:48 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7605 2025-09-25 02:28:48 [INFO] Round 24 starts--------| 2025-09-25 02:28:48 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:29:34 [INFO] Epoch 24 loss: 306.38044261932373; train accuracy: 0.760022615131579; test accuracy: 0.5408 2025-09-25 02:29:34 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:30:44 [INFO] Epoch 24 loss: 483.71053552627563; train accuracy: 0.8192414314516129; test accuracy: 0.6173 2025-09-25 02:30:44 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:32:01 [INFO] Epoch 24 loss: 564.563985824585; train accuracy: 0.7381680253623188; test accuracy: 0.5571 2025-09-25 02:32:01 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:32:49 [INFO] Epoch 24 loss: 346.0313105583191; train accuracy: 0.8419744318181818; test accuracy: 0.5463 2025-09-25 02:32:49 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:33:42 [INFO] Epoch 24 loss: 381.13549852371216; train accuracy: 0.7340625; test accuracy: 0.4098 2025-09-25 02:33:42 [INFO] Round 24 Finish--------| 2025-09-25 02:33:42 [INFO] Model variance: mean: 0.003245352301746607, sum: 36263.41015625 2025-09-25 02:33:42 [INFO] g_protos_std: 0.9513293504714966 2025-09-25 02:33:51 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7664 2025-09-25 02:33:51 [INFO] Round 25 starts--------| 2025-09-25 02:33:51 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:34:31 [INFO] Epoch 25 loss: 311.3749351501465; train accuracy: 0.7472759046052632; test accuracy: 0.492 2025-09-25 02:34:32 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:35:37 [INFO] Epoch 25 loss: 473.50356340408325; train accuracy: 0.8243132560483871; test accuracy: 0.6301 2025-09-25 02:35:38 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:36:50 [INFO] Epoch 25 loss: 553.6895813941956; train accuracy: 0.7526890851449275; test accuracy: 0.5866 2025-09-25 02:36:50 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:37:38 [INFO] Epoch 25 loss: 351.2754101753235; train accuracy: 0.7492009943181818; test accuracy: 0.5006 2025-09-25 02:37:38 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:38:34 [INFO] Epoch 25 loss: 382.9775676727295; train accuracy: 0.8327734375; test accuracy: 0.4649 2025-09-25 02:38:34 [INFO] Round 25 Finish--------| 2025-09-25 02:38:34 [INFO] Model variance: mean: 0.0033172250259667635, sum: 37066.51171875 2025-09-25 02:38:34 [INFO] g_protos_std: 0.9490434527397156 2025-09-25 02:38:43 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7745 2025-09-25 02:38:43 [INFO] Round 26 starts--------| 2025-09-25 02:38:43 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:39:27 [INFO] Epoch 26 loss: 308.5228543281555; train accuracy: 0.7774465460526315; test accuracy: 0.4855 2025-09-25 02:39:27 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:40:37 [INFO] Epoch 26 loss: 471.73116159439087; train accuracy: 0.7146547379032258; test accuracy: 0.5577 2025-09-25 02:40:37 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:41:56 [INFO] Epoch 26 loss: 557.714768409729; train accuracy: 0.7871659873188406; test accuracy: 0.5983 2025-09-25 02:41:56 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:42:47 [INFO] Epoch 26 loss: 348.27891874313354; train accuracy: 0.7373934659090909; test accuracy: 0.5255 2025-09-25 02:42:47 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:43:42 [INFO] Epoch 26 loss: 377.37211084365845; train accuracy: 0.7989453125; test accuracy: 0.4657 2025-09-25 02:43:42 [INFO] Round 26 Finish--------| 2025-09-25 02:43:42 [INFO] Model variance: mean: 0.003387643024325371, sum: 37853.359375 2025-09-25 02:43:42 [INFO] g_protos_std: 0.9467657804489136 2025-09-25 02:43:51 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7723 2025-09-25 02:43:51 [INFO] Round 27 starts--------| 2025-09-25 02:43:51 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:44:34 [INFO] Epoch 27 loss: 309.8078422546387; train accuracy: 0.7633634868421053; test accuracy: 0.4411 2025-09-25 02:44:34 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:45:45 [INFO] Epoch 27 loss: 471.89428091049194; train accuracy: 0.7667590725806451; test accuracy: 0.5962 2025-09-25 02:45:45 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:47:06 [INFO] Epoch 27 loss: 548.6138072013855; train accuracy: 0.7924592391304348; test accuracy: 0.5921 2025-09-25 02:47:06 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:47:57 [INFO] Epoch 27 loss: 348.7730498313904; train accuracy: 0.7159978693181818; test accuracy: 0.5072 2025-09-25 02:47:57 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:48:54 [INFO] Epoch 27 loss: 382.6844882965088; train accuracy: 0.8477734375; test accuracy: 0.5065 2025-09-25 02:48:54 [INFO] Round 27 Finish--------| 2025-09-25 02:48:54 [INFO] Model variance: mean: 0.0034559827763587236, sum: 38616.984375 2025-09-25 02:48:54 [INFO] g_protos_std: 0.9445250034332275 2025-09-25 02:49:03 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7766 2025-09-25 02:49:03 [INFO] Round 28 starts--------| 2025-09-25 02:49:03 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:49:47 [INFO] Epoch 28 loss: 308.2177166938782; train accuracy: 0.8224712171052632; test accuracy: 0.4992 2025-09-25 02:49:47 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:51:00 [INFO] Epoch 28 loss: 474.24498224258423; train accuracy: 0.8061365927419355; test accuracy: 0.6137 2025-09-25 02:51:00 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:52:19 [INFO] Epoch 28 loss: 551.9135875701904; train accuracy: 0.8004415760869565; test accuracy: 0.5986 2025-09-25 02:52:19 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:53:07 [INFO] Epoch 28 loss: 347.3987922668457; train accuracy: 0.8514293323863636; test accuracy: 0.5698 2025-09-25 02:53:07 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:54:04 [INFO] Epoch 28 loss: 383.593900680542; train accuracy: 0.85140625; test accuracy: 0.5036 2025-09-25 02:54:04 [INFO] Round 28 Finish--------| 2025-09-25 02:54:04 [INFO] Model variance: mean: 0.0035228163469582796, sum: 39363.78125 2025-09-25 02:54:04 [INFO] g_protos_std: 0.9422963857650757 2025-09-25 02:54:12 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7849 2025-09-25 02:54:12 [INFO] Round 29 starts--------| 2025-09-25 02:54:12 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:54:55 [INFO] Epoch 29 loss: 309.33323764801025; train accuracy: 0.6455592105263158; test accuracy: 0.3759 2025-09-25 02:54:55 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:56:05 [INFO] Epoch 29 loss: 470.72327613830566; train accuracy: 0.7863848286290323; test accuracy: 0.589 2025-09-25 02:56:05 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:57:22 [INFO] Epoch 29 loss: 552.1617999076843; train accuracy: 0.6893965126811594; test accuracy: 0.5069 2025-09-25 02:57:22 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:58:13 [INFO] Epoch 29 loss: 350.2117576599121; train accuracy: 0.8301669034090909; test accuracy: 0.5511 2025-09-25 02:58:13 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:59:08 [INFO] Epoch 29 loss: 369.80245065689087; train accuracy: 0.8796875; test accuracy: 0.4905 2025-09-25 02:59:08 [INFO] Round 29 Finish--------| 2025-09-25 02:59:08 [INFO] Model variance: mean: 0.0035903279203921556, sum: 40118.15234375 2025-09-25 02:59:08 [INFO] g_protos_std: 0.940043032169342 2025-09-25 02:59:17 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7838 2025-09-25 02:59:17 [INFO] Round 30 starts--------| 2025-09-25 02:59:17 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:00:01 [INFO] Epoch 30 loss: 303.31232833862305; train accuracy: 0.7962582236842105; test accuracy: 0.4642 2025-09-25 03:00:01 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:01:09 [INFO] Epoch 30 loss: 477.265615940094; train accuracy: 0.8263923891129032; test accuracy: 0.6016 2025-09-25 03:01:10 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:02:26 [INFO] Epoch 30 loss: 539.8307809829712; train accuracy: 0.8017436594202898; test accuracy: 0.6052 2025-09-25 03:02:26 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:03:16 [INFO] Epoch 30 loss: 345.30431509017944; train accuracy: 0.8340287642045454; test accuracy: 0.5484 2025-09-25 03:03:16 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:04:13 [INFO] Epoch 30 loss: 373.0971555709839; train accuracy: 0.879765625; test accuracy: 0.5167 2025-09-25 03:04:14 [INFO] Round 30 Finish--------| 2025-09-25 03:04:14 [INFO] Model variance: mean: 0.0036560213193297386, sum: 40852.20703125 2025-09-25 03:04:14 [INFO] g_protos_std: 0.9378041625022888 2025-09-25 03:04:23 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7889 2025-09-25 03:04:23 [INFO] Round 31 starts--------| 2025-09-25 03:04:23 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:05:07 [INFO] Epoch 31 loss: 306.9983205795288; train accuracy: 0.7461965460526315; test accuracy: 0.532 2025-09-25 03:05:07 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:06:17 [INFO] Epoch 31 loss: 462.22347497940063; train accuracy: 0.8067036290322581; test accuracy: 0.6127 2025-09-25 03:06:18 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:07:35 [INFO] Epoch 31 loss: 544.5251941680908; train accuracy: 0.7171648550724637; test accuracy: 0.5286 2025-09-25 03:07:35 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:08:25 [INFO] Epoch 31 loss: 336.9674816131592; train accuracy: 0.8148082386363636; test accuracy: 0.5679 2025-09-25 03:08:25 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:09:21 [INFO] Epoch 31 loss: 374.15377616882324; train accuracy: 0.8059765625; test accuracy: 0.4856 2025-09-25 03:09:21 [INFO] Round 31 Finish--------| 2025-09-25 03:09:21 [INFO] Model variance: mean: 0.0037215473130345345, sum: 41584.390625 2025-09-25 03:09:21 [INFO] g_protos_std: 0.9355428218841553 2025-09-25 03:09:30 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7964 2025-09-25 03:09:30 [INFO] Round 32 starts--------| 2025-09-25 03:09:30 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:10:14 [INFO] Epoch 32 loss: 297.49100065231323; train accuracy: 0.8325966282894737; test accuracy: 0.49 2025-09-25 03:10:14 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:11:23 [INFO] Epoch 32 loss: 467.0595107078552; train accuracy: 0.7969695060483871; test accuracy: 0.6098 2025-09-25 03:11:23 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:12:40 [INFO] Epoch 32 loss: 544.6556978225708; train accuracy: 0.7513303894927537; test accuracy: 0.5767 2025-09-25 03:12:40 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:13:30 [INFO] Epoch 32 loss: 338.8049440383911; train accuracy: 0.8381569602272727; test accuracy: 0.5744 2025-09-25 03:13:30 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:14:28 [INFO] Epoch 32 loss: 370.87238359451294; train accuracy: 0.887578125; test accuracy: 0.489 2025-09-25 03:14:28 [INFO] Round 32 Finish--------| 2025-09-25 03:14:28 [INFO] Model variance: mean: 0.0037863366305828094, sum: 42308.34375 2025-09-25 03:14:28 [INFO] g_protos_std: 0.9332869648933411 2025-09-25 03:14:36 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8037 2025-09-25 03:14:36 [INFO] Round 33 starts--------| 2025-09-25 03:14:36 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:15:20 [INFO] Epoch 33 loss: 298.86691904067993; train accuracy: 0.7982113486842105; test accuracy: 0.458 2025-09-25 03:15:20 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:16:30 [INFO] Epoch 33 loss: 459.32525634765625; train accuracy: 0.7996471774193549; test accuracy: 0.5887 2025-09-25 03:16:30 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:17:50 [INFO] Epoch 33 loss: 541.0306973457336; train accuracy: 0.7947803442028986; test accuracy: 0.5896 2025-09-25 03:17:50 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:18:39 [INFO] Epoch 33 loss: 333.501136302948; train accuracy: 0.8166281960227273; test accuracy: 0.5479 2025-09-25 03:18:39 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:19:35 [INFO] Epoch 33 loss: 366.7642984390259; train accuracy: 0.88140625; test accuracy: 0.4942 2025-09-25 03:19:35 [INFO] Round 33 Finish--------| 2025-09-25 03:19:35 [INFO] Model variance: mean: 0.0038500067312270403, sum: 43019.7890625 2025-09-25 03:19:35 [INFO] g_protos_std: 0.9310086369514465 2025-09-25 03:19:44 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8049 2025-09-25 03:19:44 [INFO] Round 34 starts--------| 2025-09-25 03:19:44 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:20:28 [INFO] Epoch 34 loss: 302.2221784591675; train accuracy: 0.8211348684210527; test accuracy: 0.5495 2025-09-25 03:20:28 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:21:40 [INFO] Epoch 34 loss: 460.30145025253296; train accuracy: 0.8289125504032258; test accuracy: 0.6049 2025-09-25 03:21:40 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:23:00 [INFO] Epoch 34 loss: 539.0890202522278; train accuracy: 0.824020606884058; test accuracy: 0.6112 2025-09-25 03:23:00 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:23:50 [INFO] Epoch 34 loss: 339.14485692977905; train accuracy: 0.7991388494318182; test accuracy: 0.5559 2025-09-25 03:23:50 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:24:46 [INFO] Epoch 34 loss: 368.7181935310364; train accuracy: 0.8706640625; test accuracy: 0.5422 2025-09-25 03:24:46 [INFO] Round 34 Finish--------| 2025-09-25 03:24:46 [INFO] Model variance: mean: 0.003912288695573807, sum: 43715.7265625 2025-09-25 03:24:46 [INFO] g_protos_std: 0.9287675619125366 2025-09-25 03:24:55 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8081 2025-09-25 03:24:55 [INFO] Round 35 starts--------| 2025-09-25 03:24:55 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:25:39 [INFO] Epoch 35 loss: 299.0182738304138; train accuracy: 0.8246299342105263; test accuracy: 0.517 2025-09-25 03:25:40 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:26:50 [INFO] Epoch 35 loss: 467.43923807144165; train accuracy: 0.8513104838709677; test accuracy: 0.6251 2025-09-25 03:26:51 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:28:08 [INFO] Epoch 35 loss: 528.7216386795044; train accuracy: 0.8166610054347826; test accuracy: 0.6041 2025-09-25 03:28:08 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:28:58 [INFO] Epoch 35 loss: 337.98231267929077; train accuracy: 0.8427290482954546; test accuracy: 0.5691 2025-09-25 03:28:59 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:29:54 [INFO] Epoch 35 loss: 365.54031896591187; train accuracy: 0.8628125; test accuracy: 0.497 2025-09-25 03:29:55 [INFO] Round 35 Finish--------| 2025-09-25 03:29:55 [INFO] Model variance: mean: 0.003973235376179218, sum: 44396.7421875 2025-09-25 03:29:55 [INFO] g_protos_std: 0.9265367984771729 2025-09-25 03:30:03 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8155 2025-09-25 03:30:03 [INFO] Round 36 starts--------| 2025-09-25 03:30:03 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:30:47 [INFO] Epoch 36 loss: 298.0881028175354; train accuracy: 0.8360916940789473; test accuracy: 0.5546 2025-09-25 03:30:47 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:32:00 [INFO] Epoch 36 loss: 460.11050271987915; train accuracy: 0.8472152217741935; test accuracy: 0.6296 2025-09-25 03:32:00 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:33:17 [INFO] Epoch 36 loss: 528.2765927314758; train accuracy: 0.7916383605072463; test accuracy: 0.6063 2025-09-25 03:33:17 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:34:07 [INFO] Epoch 36 loss: 328.3905839920044; train accuracy: 0.8212002840909091; test accuracy: 0.5644 2025-09-25 03:34:07 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:35:05 [INFO] Epoch 36 loss: 367.38371562957764; train accuracy: 0.814453125; test accuracy: 0.4592 2025-09-25 03:35:05 [INFO] Round 36 Finish--------| 2025-09-25 03:35:05 [INFO] Model variance: mean: 0.004035772290080786, sum: 45095.5234375 2025-09-25 03:35:05 [INFO] g_protos_std: 0.9243016242980957 2025-09-25 03:35:14 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8141 2025-09-25 03:35:14 [INFO] Round 37 starts--------| 2025-09-25 03:35:14 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:36:00 [INFO] Epoch 37 loss: 295.8835644721985; train accuracy: 0.8194901315789473; test accuracy: 0.5137 2025-09-25 03:36:00 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:37:09 [INFO] Epoch 37 loss: 460.1907482147217; train accuracy: 0.8658644153225806; test accuracy: 0.6273 2025-09-25 03:37:09 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:38:23 [INFO] Epoch 37 loss: 526.9773631095886; train accuracy: 0.8505717844202898; test accuracy: 0.6225 2025-09-25 03:38:23 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:39:13 [INFO] Epoch 37 loss: 326.2965097427368; train accuracy: 0.7718838778409091; test accuracy: 0.5262 2025-09-25 03:39:13 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:40:10 [INFO] Epoch 37 loss: 369.156466960907; train accuracy: 0.85859375; test accuracy: 0.5187 2025-09-25 03:40:10 [INFO] Round 37 Finish--------| 2025-09-25 03:40:10 [INFO] Model variance: mean: 0.004096233751624823, sum: 45771.12109375 2025-09-25 03:40:10 [INFO] g_protos_std: 0.9220940470695496 2025-09-25 03:40:19 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8133 2025-09-25 03:40:19 [INFO] Round 38 starts--------| 2025-09-25 03:40:19 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:41:04 [INFO] Epoch 38 loss: 295.59116220474243; train accuracy: 0.8218544407894737; test accuracy: 0.4847 2025-09-25 03:41:04 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:42:13 [INFO] Epoch 38 loss: 449.88911962509155; train accuracy: 0.8155871975806451; test accuracy: 0.6029 2025-09-25 03:42:13 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:43:29 [INFO] Epoch 38 loss: 525.5825181007385; train accuracy: 0.7262228260869565; test accuracy: 0.5361 2025-09-25 03:43:29 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:44:20 [INFO] Epoch 38 loss: 335.8522171974182; train accuracy: 0.8140980113636364; test accuracy: 0.5614 2025-09-25 03:44:20 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:45:17 [INFO] Epoch 38 loss: 357.47908782958984; train accuracy: 0.8188671875; test accuracy: 0.469 2025-09-25 03:45:17 [INFO] Round 38 Finish--------| 2025-09-25 03:45:17 [INFO] Model variance: mean: 0.0041556223295629025, sum: 46434.7265625 2025-09-25 03:45:17 [INFO] g_protos_std: 0.9198711514472961 2025-09-25 03:45:26 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8149 2025-09-25 03:45:26 [INFO] Round 39 starts--------| 2025-09-25 03:45:26 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:46:11 [INFO] Epoch 39 loss: 294.9517116546631; train accuracy: 0.8230879934210527; test accuracy: 0.5088 2025-09-25 03:46:11 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:47:24 [INFO] Epoch 39 loss: 451.5832214355469; train accuracy: 0.8674395161290323; test accuracy: 0.6429 2025-09-25 03:47:24 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:48:42 [INFO] Epoch 39 loss: 532.8436532020569; train accuracy: 0.8631397192028986; test accuracy: 0.6392 2025-09-25 03:48:42 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:49:34 [INFO] Epoch 39 loss: 333.47821378707886; train accuracy: 0.7992720170454546; test accuracy: 0.5442 2025-09-25 03:49:34 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:50:31 [INFO] Epoch 39 loss: 362.2767415046692; train accuracy: 0.9091015625; test accuracy: 0.5147 2025-09-25 03:50:31 [INFO] Round 39 Finish--------| 2025-09-25 03:50:31 [INFO] Model variance: mean: 0.0042134844698011875, sum: 47081.2734375 2025-09-25 03:50:31 [INFO] g_protos_std: 0.9176614284515381 2025-09-25 03:50:40 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8152 2025-09-25 03:50:40 [INFO] Round 40 starts--------| 2025-09-25 03:50:40 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:51:24 [INFO] Epoch 40 loss: 291.70388650894165; train accuracy: 0.845960115131579; test accuracy: 0.5492 2025-09-25 03:51:25 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:52:35 [INFO] Epoch 40 loss: 455.7672667503357; train accuracy: 0.8250063004032258; test accuracy: 0.6142 2025-09-25 03:52:35 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:53:50 [INFO] Epoch 40 loss: 528.4623990058899; train accuracy: 0.8072916666666666; test accuracy: 0.601 2025-09-25 03:53:50 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:54:39 [INFO] Epoch 40 loss: 334.7346615791321; train accuracy: 0.8146306818181818; test accuracy: 0.5917 2025-09-25 03:54:39 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:55:35 [INFO] Epoch 40 loss: 367.13654232025146; train accuracy: 0.9028125; test accuracy: 0.5104 2025-09-25 03:55:36 [INFO] Round 40 Finish--------| 2025-09-25 03:55:36 [INFO] Model variance: mean: 0.004270107485353947, sum: 47713.9765625 2025-09-25 03:55:36 [INFO] g_protos_std: 0.9154738783836365 2025-09-25 03:55:44 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8236 2025-09-25 03:55:44 [INFO] Round 41 starts--------| 2025-09-25 03:55:44 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:56:28 [INFO] Epoch 41 loss: 297.9111876487732; train accuracy: 0.864000822368421; test accuracy: 0.5398 2025-09-25 03:56:28 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:57:37 [INFO] Epoch 41 loss: 449.37849378585815; train accuracy: 0.8674710181451613; test accuracy: 0.6314 2025-09-25 03:57:37 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:58:54 [INFO] Epoch 41 loss: 518.6546063423157; train accuracy: 0.780655570652174; test accuracy: 0.5876 2025-09-25 03:58:54 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:59:43 [INFO] Epoch 41 loss: 331.91046237945557; train accuracy: 0.7853338068181818; test accuracy: 0.5748 2025-09-25 03:59:43 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 04:00:38 [INFO] Epoch 41 loss: 363.7816061973572; train accuracy: 0.9186328125; test accuracy: 0.5088 2025-09-25 04:00:38 [INFO] Round 41 Finish--------| 2025-09-25 04:00:38 [INFO] Model variance: mean: 0.0043268934823572636, sum: 48348.5 2025-09-25 04:00:38 [INFO] g_protos_std: 0.9132862091064453 2025-09-25 04:00:47 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.823 2025-09-25 04:00:47 [INFO] Round 42 starts--------| 2025-09-25 04:00:47 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 04:01:32 [INFO] Epoch 42 loss: 286.8113441467285; train accuracy: 0.8032483552631579; test accuracy: 0.4934 2025-09-25 04:01:32 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 04:02:40 [INFO] Epoch 42 loss: 445.0474181175232; train accuracy: 0.8020728326612904; test accuracy: 0.6085 2025-09-25 04:02:40 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 04:03:59 [INFO] Epoch 42 loss: 522.0652980804443; train accuracy: 0.8406929347826086; test accuracy: 0.6235 2025-09-25 04:03:59 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 04:04:48 [INFO] Epoch 42 loss: 330.6468644142151; train accuracy: 0.8660333806818182; test accuracy: 0.5989 2025-09-25 04:04:48 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 04:05:46 [INFO] Epoch 42 loss: 356.8287739753723; train accuracy: 0.8829296875; test accuracy: 0.5082 2025-09-25 04:05:46 [INFO] Round 42 Finish--------| 2025-09-25 04:05:46 [INFO] Model variance: mean: 0.004383333493024111, sum: 48979.15625 2025-09-25 04:05:46 [INFO] g_protos_std: 0.9110618829727173 2025-09-25 04:05:55 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8143 2025-09-25 04:05:55 [INFO] Round 43 starts--------| 2025-09-25 04:05:55 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 04:06:40 [INFO] Epoch 43 loss: 294.2719101905823; train accuracy: 0.862561677631579; test accuracy: 0.5256 2025-09-25 04:06:40 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 04:07:47 [INFO] Epoch 43 loss: 442.64677906036377; train accuracy: 0.8163432459677419; test accuracy: 0.6097 2025-09-25 04:07:47 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 04:09:06 [INFO] Epoch 43 loss: 511.3338418006897; train accuracy: 0.835343070652174; test accuracy: 0.6181 2025-09-25 04:09:06 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 04:09:58 [INFO] Epoch 43 loss: 323.7261438369751; train accuracy: 0.8812144886363636; test accuracy: 0.6148 2025-09-25 04:09:58 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 04:10:55 [INFO] Epoch 43 loss: 360.99835777282715; train accuracy: 0.8786328125; test accuracy: 0.5392 2025-09-25 04:10:55 [INFO] Round 43 Finish--------| 2025-09-25 04:10:55 [INFO] Model variance: mean: 0.00443967105820775, sum: 49608.671875 2025-09-25 04:10:55 [INFO] g_protos_std: 0.908857524394989 2025-09-25 04:11:04 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8219 2025-09-25 04:11:04 [INFO] Round 44 starts--------| 2025-09-25 04:11:04 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 04:11:47 [INFO] Epoch 44 loss: 292.6469774246216; train accuracy: 0.8429276315789473; test accuracy: 0.5471 2025-09-25 04:11:47 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 04:12:54 [INFO] Epoch 44 loss: 442.0253825187683; train accuracy: 0.8653603830645161; test accuracy: 0.6205 2025-09-25 04:12:54 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 04:14:15 [INFO] Epoch 44 loss: 507.86746883392334; train accuracy: 0.7848731884057971; test accuracy: 0.5928 2025-09-25 04:14:15 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 04:15:06 [INFO] Epoch 44 loss: 324.3473081588745; train accuracy: 0.8790838068181818; test accuracy: 0.5912 2025-09-25 04:15:06 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 04:16:04 [INFO] Epoch 44 loss: 366.0539884567261; train accuracy: 0.8771484375; test accuracy: 0.5049 2025-09-25 04:16:04 [INFO] Round 44 Finish--------| 2025-09-25 04:16:04 [INFO] Model variance: mean: 0.004495898261666298, sum: 50236.94921875 2025-09-25 04:16:04 [INFO] g_protos_std: 0.9066330790519714 2025-09-25 04:16:12 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8327 2025-09-25 04:16:12 [INFO] Round 45 starts--------| 2025-09-25 04:16:12 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 04:16:56 [INFO] Epoch 45 loss: 290.07440757751465; train accuracy: 0.853515625; test accuracy: 0.5345 2025-09-25 04:16:57 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 04:18:06 [INFO] Epoch 45 loss: 445.0655016899109; train accuracy: 0.8696761592741935; test accuracy: 0.6401 2025-09-25 04:18:06 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 04:19:25 [INFO] Epoch 45 loss: 508.50724029541016; train accuracy: 0.8606204710144928; test accuracy: 0.6455 2025-09-25 04:19:26 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 04:20:17 [INFO] Epoch 45 loss: 323.3018341064453; train accuracy: 0.8330522017045454; test accuracy: 0.5821 2025-09-25 04:20:17 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 04:21:13 [INFO] Epoch 45 loss: 353.32395935058594; train accuracy: 0.8634375; test accuracy: 0.4968 2025-09-25 04:21:14 [INFO] Round 45 Finish--------| 2025-09-25 04:21:14 [INFO] Model variance: mean: 0.004551439546048641, sum: 50857.56640625 2025-09-25 04:21:14 [INFO] g_protos_std: 0.9043986797332764 2025-09-25 04:21:23 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8311 2025-09-25 04:21:23 [INFO] Round 46 starts--------| 2025-09-25 04:21:23 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 04:22:08 [INFO] Epoch 46 loss: 284.78943395614624; train accuracy: 0.8875411184210527; test accuracy: 0.5996 2025-09-25 04:22:08 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 04:23:14 [INFO] Epoch 46 loss: 448.5055160522461; train accuracy: 0.8129095262096774; test accuracy: 0.6045 2025-09-25 04:23:14 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 04:24:28 [INFO] Epoch 46 loss: 510.994188785553; train accuracy: 0.8360507246376812; test accuracy: 0.6239 2025-09-25 04:24:28 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 04:25:18 [INFO] Epoch 46 loss: 321.9636273384094; train accuracy: 0.8298561789772727; test accuracy: 0.589 2025-09-25 04:25:18 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 04:26:13 [INFO] Epoch 46 loss: 355.5318274497986; train accuracy: 0.9213671875; test accuracy: 0.5486 2025-09-25 04:26:13 [INFO] Round 46 Finish--------| 2025-09-25 04:26:13 [INFO] Model variance: mean: 0.0046043554320931435, sum: 51448.84375 2025-09-25 04:26:13 [INFO] g_protos_std: 0.9022119641304016 2025-09-25 04:26:21 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8373 2025-09-25 04:26:21 [INFO] Round 47 starts--------| 2025-09-25 04:26:21 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 04:27:04 [INFO] Epoch 47 loss: 285.1940288543701; train accuracy: 0.8523848684210527; test accuracy: 0.5296 2025-09-25 04:27:04 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 04:28:14 [INFO] Epoch 47 loss: 445.46668815612793; train accuracy: 0.8270539314516129; test accuracy: 0.6053 2025-09-25 04:28:14 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 04:29:28 [INFO] Epoch 47 loss: 513.9808473587036; train accuracy: 0.8319746376811594; test accuracy: 0.6145 2025-09-25 04:29:28 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 04:30:20 [INFO] Epoch 47 loss: 328.1928415298462; train accuracy: 0.8801935369318182; test accuracy: 0.6185 2025-09-25 04:30:20 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 04:31:18 [INFO] Epoch 47 loss: 354.600848197937; train accuracy: 0.8873046875; test accuracy: 0.5348 2025-09-25 04:31:19 [INFO] Round 47 Finish--------| 2025-09-25 04:31:19 [INFO] Model variance: mean: 0.004657735116779804, sum: 52045.30859375 2025-09-25 04:31:19 [INFO] g_protos_std: 0.9000404477119446 2025-09-25 04:31:27 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8397 2025-09-25 04:31:27 [INFO] Round 48 starts--------| 2025-09-25 04:31:27 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 04:32:11 [INFO] Epoch 48 loss: 285.1102433204651; train accuracy: 0.8375822368421053; test accuracy: 0.4829 2025-09-25 04:32:11 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 04:33:21 [INFO] Epoch 48 loss: 435.14625120162964; train accuracy: 0.8419543850806451; test accuracy: 0.6207 2025-09-25 04:33:21 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 04:34:35 [INFO] Epoch 48 loss: 501.11381435394287; train accuracy: 0.8171422101449275; test accuracy: 0.6104 2025-09-25 04:34:35 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 04:35:23 [INFO] Epoch 48 loss: 322.4871244430542; train accuracy: 0.8531161221590909; test accuracy: 0.5957 2025-09-25 04:35:23 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 04:36:20 [INFO] Epoch 48 loss: 351.7556300163269; train accuracy: 0.8536328125; test accuracy: 0.5086 2025-09-25 04:36:20 [INFO] Round 48 Finish--------| 2025-09-25 04:36:20 [INFO] Model variance: mean: 0.004712346475571394, sum: 52655.53125 2025-09-25 04:36:20 [INFO] g_protos_std: 0.8978045582771301 2025-09-25 04:36:29 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8393 2025-09-25 04:36:29 [INFO] Round 49 starts--------| 2025-09-25 04:36:29 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 04:37:13 [INFO] Epoch 49 loss: 280.6311240196228; train accuracy: 0.8614309210526315; test accuracy: 0.5875 2025-09-25 04:37:13 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 04:38:24 [INFO] Epoch 49 loss: 435.6756982803345; train accuracy: 0.8566343245967742; test accuracy: 0.6247 2025-09-25 04:38:24 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 04:39:43 [INFO] Epoch 49 loss: 499.1441707611084; train accuracy: 0.8138303894927537; test accuracy: 0.6067 2025-09-25 04:39:43 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 04:40:36 [INFO] Epoch 49 loss: 320.378915309906; train accuracy: 0.9092240767045454; test accuracy: 0.6007 2025-09-25 04:40:36 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 04:41:35 [INFO] Epoch 49 loss: 352.18346214294434; train accuracy: 0.9284765625; test accuracy: 0.5636 2025-09-25 04:41:35 [INFO] Round 49 Finish--------| 2025-09-25 04:41:35 [INFO] Model variance: mean: 0.004765549674630165, sum: 53250.0234375 2025-09-25 04:41:35 [INFO] g_protos_std: 0.8955948948860168 2025-09-25 04:41:44 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8281 2025-09-25 04:41:44 [INFO] Round 50 starts--------| 2025-09-25 04:41:44 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 04:42:31 [INFO] Epoch 50 loss: 285.6090703010559; train accuracy: 0.8478104440789473; test accuracy: 0.5421 2025-09-25 04:42:31 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 04:43:42 [INFO] Epoch 50 loss: 437.530170917511; train accuracy: 0.7375567036290323; test accuracy: 0.55 2025-09-25 04:43:43 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 04:45:04 [INFO] Epoch 50 loss: 501.41080236434937; train accuracy: 0.8569123641304348; test accuracy: 0.6365 2025-09-25 04:45:04 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 04:45:56 [INFO] Epoch 50 loss: 318.8330636024475; train accuracy: 0.8899147727272727; test accuracy: 0.6508 2025-09-25 04:45:56 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 04:46:54 [INFO] Epoch 50 loss: 349.50234031677246; train accuracy: 0.8470703125; test accuracy: 0.4696 2025-09-25 04:46:55 [INFO] Round 50 Finish--------| 2025-09-25 04:46:55 [INFO] Model variance: mean: 0.0048181237652897835, sum: 53837.484375 2025-09-25 04:46:55 [INFO] g_protos_std: 0.8934081196784973 2025-09-25 04:47:04 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8407 2025-09-25 00:25:30 [INFO] Load config from ./configs/CIFAR10_alpha0.5.yaml 2025-09-25 00:25:30 [INFO] config: {'exp_name': 'CIFAR10_alpha0.5', 'dataset': {'data_name': 'CIFAR10', 'root_path': 'H:/codes/dataset', 'train_batch_size': 512, 'test_batch_size': 256, 'channels': 3, 'num_classes': 10, 'image_size': 32}, 'distribution': {'type': 'dirichlet', 'label_num_per_client': 2, 'alpha': 0.5}, 'client': {'num_clients': 5}, 'server': {'num_rounds': 300, 'frac_clients': 1.0, 'lr': 0.05, 'local_epochs': 1, 'optimizer': 'sgd', 'momentum': 0.9, 'weight_decay': 0.0001, 'loss_name': 'ce', 'model_name': 'resnet18', 'aggregated_by_datasize': True, 'lr_decay_per_round': 0.998}, 'device': 'cuda:0', 'checkpoint': {'save_path': './checkpoints/', 'save_freq': 5, 'result_file': 'CIFAR10_results.yaml'}, 'pretrain': {'lr': 0.01, 'epoch': 70, 'model_path': './pretrain/', 'momentum': 0.9, 'weight_decay': 0.0001, 'model_name': 'resnet18', 'model_file_name': 'resnet18-f37072fd.pth'}, 'DBCD': {'alpha_l_pa': 1, 'alpha_l_pb': 1, 'alpha_l_pc': 0.0, 'Beta_alpha': 0.2, 'unsup_method': 'infonce', 'contrastive_temperature': 0.5, 'encoder_epoch': 40, 'projector_epoch': 10, 'use_pretrain': False, 'aug_batch_size': 512, 'encoder_lr': 0.03, 'cls_optimizer': 'sgd', 'cls_lr': 0.05, 'supcon_temp': 0.07, 'super_gr': 100, 'aux_with_public': True}, 'etf': {'loss_name': 'ce'}, 'visualization': {'interval': 5, 'save_path': 'visualization/resnet18', 'vis_size': 16}, 'resume': True, 'resume_best': False, 'seed': 1} 2025-09-25 00:25:31 [INFO] Dataset CIFAR10 loaded 2025-09-25 00:25:31 [INFO] Dataset index dict loaded from preprocessed_data/CIFAR10.pt 2025-09-25 00:25:32 [INFO] OneshotOursV5 with Decoupled Representation and Classifier Learning (DRCL) 2025-09-25 00:25:33 [INFO] Initialized fixed anchors with shape: torch.Size([10, 512]) 2025-09-25 00:25:33 [INFO] Round 0 starts--------| 2025-09-25 00:25:33 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:25:43 [INFO] generating sample per sample 2025-09-25 00:26:49 [INFO] Epoch 0 loss: 880.2206649780273; train accuracy: 0.20623458059210525; test accuracy: 0.1813 2025-09-25 00:26:50 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:26:58 [INFO] generating sample per sample 2025-09-25 00:27:49 [INFO] Epoch 0 loss: 700.5306196212769; train accuracy: 0.2854397681451613; test accuracy: 0.1849 2025-09-25 00:27:49 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:27:56 [INFO] generating sample per sample 2025-09-25 00:28:43 [INFO] Epoch 0 loss: 675.8422517776489; train accuracy: 0.2316136853448276; test accuracy: 0.1441 2025-09-25 00:28:44 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:28:53 [INFO] generating sample per sample 2025-09-25 00:29:50 [INFO] Epoch 0 loss: 815.1601448059082; train accuracy: 0.2984212239583333; test accuracy: 0.223 2025-09-25 00:29:51 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:29:55 [INFO] generating sample per sample 2025-09-25 00:30:28 [INFO] Epoch 0 loss: 442.95068359375; train accuracy: 0.31455328525641024; test accuracy: 0.1476 2025-09-25 00:30:28 [INFO] Round 0 Finish--------| 2025-09-25 00:30:28 [INFO] Model variance: mean: 0.000666496460326016, sum: 7447.3994140625 2025-09-25 00:30:28 [INFO] g_protos_std: 1.003981351852417 2025-09-25 00:30:34 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.3948 2025-09-25 00:30:34 [INFO] Round 1 starts--------| 2025-09-25 00:30:34 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:31:35 [INFO] Epoch 1 loss: 809.5993986129761; train accuracy: 0.3352179276315789; test accuracy: 0.2831 2025-09-25 00:31:35 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:32:27 [INFO] Epoch 1 loss: 644.2045612335205; train accuracy: 0.2633568548387097; test accuracy: 0.179 2025-09-25 00:32:27 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:33:18 [INFO] Epoch 1 loss: 641.0300579071045; train accuracy: 0.18558054956896552; test accuracy: 0.1142 2025-09-25 00:33:18 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:34:22 [INFO] Epoch 1 loss: 762.0914525985718; train accuracy: 0.3744574652777778; test accuracy: 0.287 2025-09-25 00:34:22 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:34:57 [INFO] Epoch 1 loss: 411.68340587615967; train accuracy: 0.271083733974359; test accuracy: 0.1129 2025-09-25 00:34:57 [INFO] Round 1 Finish--------| 2025-09-25 00:34:57 [INFO] Model variance: mean: 0.0009209740674123168, sum: 10290.919921875 2025-09-25 00:34:57 [INFO] g_protos_std: 1.0014922618865967 2025-09-25 00:35:03 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.4676 2025-09-25 00:35:03 [INFO] Round 2 starts--------| 2025-09-25 00:35:03 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:36:08 [INFO] Epoch 2 loss: 772.807373046875; train accuracy: 0.36225328947368424; test accuracy: 0.3252 2025-09-25 00:36:08 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:37:02 [INFO] Epoch 2 loss: 621.831446647644; train accuracy: 0.3815209173387097; test accuracy: 0.255 2025-09-25 00:37:02 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:37:53 [INFO] Epoch 2 loss: 620.2854642868042; train accuracy: 0.39665274784482757; test accuracy: 0.2823 2025-09-25 00:37:53 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:38:56 [INFO] Epoch 2 loss: 723.5134229660034; train accuracy: 0.4289822048611111; test accuracy: 0.3623 2025-09-25 00:38:56 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:39:31 [INFO] Epoch 2 loss: 395.5018482208252; train accuracy: 0.4234775641025641; test accuracy: 0.2399 2025-09-25 00:39:31 [INFO] Round 2 Finish--------| 2025-09-25 00:39:31 [INFO] Model variance: mean: 0.0011313294526189566, sum: 12641.4208984375 2025-09-25 00:39:31 [INFO] g_protos_std: 0.9989892244338989 2025-09-25 00:39:36 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.537 2025-09-25 00:39:36 [INFO] Round 3 starts--------| 2025-09-25 00:39:36 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:40:41 [INFO] Epoch 3 loss: 743.8614196777344; train accuracy: 0.5003083881578947; test accuracy: 0.4154 2025-09-25 00:40:41 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:41:34 [INFO] Epoch 3 loss: 603.2176742553711; train accuracy: 0.5422127016129032; test accuracy: 0.3634 2025-09-25 00:41:34 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:42:24 [INFO] Epoch 3 loss: 606.3857040405273; train accuracy: 0.3837890625; test accuracy: 0.2776 2025-09-25 00:42:24 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:43:24 [INFO] Epoch 3 loss: 707.9754056930542; train accuracy: 0.515625; test accuracy: 0.4047 2025-09-25 00:43:24 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:43:56 [INFO] Epoch 3 loss: 385.14844036102295; train accuracy: 0.27779447115384615; test accuracy: 0.1309 2025-09-25 00:43:56 [INFO] Round 3 Finish--------| 2025-09-25 00:43:56 [INFO] Model variance: mean: 0.001309303566813469, sum: 14630.095703125 2025-09-25 00:43:56 [INFO] g_protos_std: 0.9965214729309082 2025-09-25 00:44:02 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.5735 2025-09-25 00:44:02 [INFO] Round 4 starts--------| 2025-09-25 00:44:02 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:45:07 [INFO] Epoch 4 loss: 721.6588954925537; train accuracy: 0.5019788240131579; test accuracy: 0.4314 2025-09-25 00:45:07 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:46:01 [INFO] Epoch 4 loss: 598.2219486236572; train accuracy: 0.5737147177419355; test accuracy: 0.39 2025-09-25 00:46:01 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:46:52 [INFO] Epoch 4 loss: 595.7223625183105; train accuracy: 0.46945716594827586; test accuracy: 0.3311 2025-09-25 00:46:52 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:47:55 [INFO] Epoch 4 loss: 690.0873756408691; train accuracy: 0.4756401909722222; test accuracy: 0.3819 2025-09-25 00:47:55 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:48:27 [INFO] Epoch 4 loss: 381.42855072021484; train accuracy: 0.39888822115384615; test accuracy: 0.1988 2025-09-25 00:48:27 [INFO] Round 4 Finish--------| 2025-09-25 00:48:27 [INFO] Model variance: mean: 0.0014781573554500937, sum: 16516.859375 2025-09-25 00:48:27 [INFO] g_protos_std: 0.9940693974494934 2025-09-25 00:48:32 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6191 2025-09-25 00:48:32 [INFO] Round 5 starts--------| 2025-09-25 00:48:32 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:49:33 [INFO] Epoch 5 loss: 704.7259817123413; train accuracy: 0.4942434210526316; test accuracy: 0.4377 2025-09-25 00:49:34 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:50:26 [INFO] Epoch 5 loss: 580.5704698562622; train accuracy: 0.5493951612903226; test accuracy: 0.3733 2025-09-25 00:50:26 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:51:16 [INFO] Epoch 5 loss: 588.1447134017944; train accuracy: 0.4926252693965517; test accuracy: 0.3769 2025-09-25 00:51:17 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:52:20 [INFO] Epoch 5 loss: 663.0911283493042; train accuracy: 0.5105794270833334; test accuracy: 0.4208 2025-09-25 00:52:20 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:52:54 [INFO] Epoch 5 loss: 376.05449199676514; train accuracy: 0.44931891025641024; test accuracy: 0.2533 2025-09-25 00:52:54 [INFO] Round 5 Finish--------| 2025-09-25 00:52:54 [INFO] Model variance: mean: 0.001637185807339847, sum: 18293.8359375 2025-09-25 00:52:54 [INFO] g_protos_std: 0.9915629029273987 2025-09-25 00:53:00 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6527 2025-09-25 00:53:00 [INFO] Round 6 starts--------| 2025-09-25 00:53:00 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:54:07 [INFO] Epoch 6 loss: 687.5506725311279; train accuracy: 0.58056640625; test accuracy: 0.5089 2025-09-25 00:54:07 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:55:04 [INFO] Epoch 6 loss: 570.2811527252197; train accuracy: 0.6026020665322581; test accuracy: 0.3941 2025-09-25 00:55:04 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 00:55:56 [INFO] Epoch 6 loss: 574.4654903411865; train accuracy: 0.5215853987068966; test accuracy: 0.4103 2025-09-25 00:55:56 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 00:56:59 [INFO] Epoch 6 loss: 647.0600414276123; train accuracy: 0.5466579861111112; test accuracy: 0.4396 2025-09-25 00:56:59 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 00:57:35 [INFO] Epoch 6 loss: 367.8403596878052; train accuracy: 0.47250600961538464; test accuracy: 0.2647 2025-09-25 00:57:35 [INFO] Round 6 Finish--------| 2025-09-25 00:57:35 [INFO] Model variance: mean: 0.0017883388791233301, sum: 19982.8125 2025-09-25 00:57:35 [INFO] g_protos_std: 0.9890275597572327 2025-09-25 00:57:41 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6777 2025-09-25 00:57:41 [INFO] Round 7 starts--------| 2025-09-25 00:57:41 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 00:58:45 [INFO] Epoch 7 loss: 674.5485763549805; train accuracy: 0.6186009457236842; test accuracy: 0.5071 2025-09-25 00:58:45 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 00:59:38 [INFO] Epoch 7 loss: 562.9198589324951; train accuracy: 0.6256300403225806; test accuracy: 0.4188 2025-09-25 00:59:38 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:00:27 [INFO] Epoch 7 loss: 563.6799964904785; train accuracy: 0.4910088900862069; test accuracy: 0.3385 2025-09-25 01:00:27 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:01:28 [INFO] Epoch 7 loss: 633.4179186820984; train accuracy: 0.5365125868055556; test accuracy: 0.4694 2025-09-25 01:01:28 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:02:00 [INFO] Epoch 7 loss: 353.6407299041748; train accuracy: 0.4896834935897436; test accuracy: 0.2855 2025-09-25 01:02:00 [INFO] Round 7 Finish--------| 2025-09-25 01:02:00 [INFO] Model variance: mean: 0.001926434924826026, sum: 21525.890625 2025-09-25 01:02:00 [INFO] g_protos_std: 0.9864674806594849 2025-09-25 01:02:05 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.6886 2025-09-25 01:02:05 [INFO] Round 8 starts--------| 2025-09-25 01:02:05 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:03:09 [INFO] Epoch 8 loss: 655.0927910804749; train accuracy: 0.7158974095394737; test accuracy: 0.6244 2025-09-25 01:03:09 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:03:59 [INFO] Epoch 8 loss: 557.5382690429688; train accuracy: 0.6339465725806451; test accuracy: 0.4211 2025-09-25 01:03:59 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:04:47 [INFO] Epoch 8 loss: 554.4728031158447; train accuracy: 0.5663725754310345; test accuracy: 0.4337 2025-09-25 01:04:47 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:05:49 [INFO] Epoch 8 loss: 629.4757127761841; train accuracy: 0.6869303385416666; test accuracy: 0.5337 2025-09-25 01:05:49 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:06:23 [INFO] Epoch 8 loss: 351.69763946533203; train accuracy: 0.46704727564102566; test accuracy: 0.2575 2025-09-25 01:06:23 [INFO] Round 8 Finish--------| 2025-09-25 01:06:23 [INFO] Model variance: mean: 0.0020558948162943125, sum: 22972.46875 2025-09-25 01:06:23 [INFO] g_protos_std: 0.983925998210907 2025-09-25 01:06:28 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7152 2025-09-25 01:06:28 [INFO] Round 9 starts--------| 2025-09-25 01:06:28 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:07:34 [INFO] Epoch 9 loss: 648.6346569061279; train accuracy: 0.5847810444078947; test accuracy: 0.4831 2025-09-25 01:07:34 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:08:29 [INFO] Epoch 9 loss: 545.3045320510864; train accuracy: 0.6099735383064516; test accuracy: 0.4052 2025-09-25 01:08:29 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:09:19 [INFO] Epoch 9 loss: 544.3006906509399; train accuracy: 0.6282327586206896; test accuracy: 0.477 2025-09-25 01:09:19 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:10:22 [INFO] Epoch 9 loss: 619.0179948806763; train accuracy: 0.5878363715277778; test accuracy: 0.5086 2025-09-25 01:10:22 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:10:56 [INFO] Epoch 9 loss: 351.5873746871948; train accuracy: 0.6213942307692307; test accuracy: 0.326 2025-09-25 01:10:56 [INFO] Round 9 Finish--------| 2025-09-25 01:10:56 [INFO] Model variance: mean: 0.002184105571359396, sum: 24405.091796875 2025-09-25 01:10:56 [INFO] g_protos_std: 0.9813291430473328 2025-09-25 01:11:01 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7104 2025-09-25 01:11:01 [INFO] Round 10 starts--------| 2025-09-25 01:11:01 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:12:09 [INFO] Epoch 10 loss: 639.0235104560852; train accuracy: 0.7819181743421053; test accuracy: 0.6654 2025-09-25 01:12:10 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:13:04 [INFO] Epoch 10 loss: 538.26429271698; train accuracy: 0.6565335181451613; test accuracy: 0.4487 2025-09-25 01:13:05 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:13:55 [INFO] Epoch 10 loss: 535.1133222579956; train accuracy: 0.5646214978448276; test accuracy: 0.3861 2025-09-25 01:13:56 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:14:58 [INFO] Epoch 10 loss: 607.0154948234558; train accuracy: 0.6231011284722222; test accuracy: 0.5045 2025-09-25 01:14:58 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:15:35 [INFO] Epoch 10 loss: 348.22003078460693; train accuracy: 0.5715645032051282; test accuracy: 0.3152 2025-09-25 01:15:35 [INFO] Round 10 Finish--------| 2025-09-25 01:15:35 [INFO] Model variance: mean: 0.0023061190731823444, sum: 25768.46484375 2025-09-25 01:15:35 [INFO] g_protos_std: 0.9787212014198303 2025-09-25 01:15:41 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7436 2025-09-25 01:15:41 [INFO] Round 11 starts--------| 2025-09-25 01:15:41 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:16:46 [INFO] Epoch 11 loss: 622.9968047142029; train accuracy: 0.6377467105263158; test accuracy: 0.5367 2025-09-25 01:16:46 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:17:37 [INFO] Epoch 11 loss: 532.6530518531799; train accuracy: 0.6909652217741935; test accuracy: 0.4526 2025-09-25 01:17:37 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:18:29 [INFO] Epoch 11 loss: 536.8909730911255; train accuracy: 0.6561153017241379; test accuracy: 0.5014 2025-09-25 01:18:29 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:19:31 [INFO] Epoch 11 loss: 611.9565577507019; train accuracy: 0.7340766059027778; test accuracy: 0.5929 2025-09-25 01:19:31 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:20:06 [INFO] Epoch 11 loss: 342.70738792419434; train accuracy: 0.4811698717948718; test accuracy: 0.2581 2025-09-25 01:20:06 [INFO] Round 11 Finish--------| 2025-09-25 01:20:06 [INFO] Model variance: mean: 0.002421262441202998, sum: 27055.0703125 2025-09-25 01:20:06 [INFO] g_protos_std: 0.97611004114151 2025-09-25 01:20:11 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7507 2025-09-25 01:20:11 [INFO] Round 12 starts--------| 2025-09-25 01:20:11 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:21:19 [INFO] Epoch 12 loss: 634.4619998931885; train accuracy: 0.745374177631579; test accuracy: 0.6471 2025-09-25 01:21:19 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:22:12 [INFO] Epoch 12 loss: 528.0544900894165; train accuracy: 0.7111265120967742; test accuracy: 0.4847 2025-09-25 01:22:12 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:23:04 [INFO] Epoch 12 loss: 529.2836332321167; train accuracy: 0.5829741379310345; test accuracy: 0.4922 2025-09-25 01:23:04 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:24:06 [INFO] Epoch 12 loss: 589.1565976142883; train accuracy: 0.6538357204861112; test accuracy: 0.5425 2025-09-25 01:24:06 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:24:40 [INFO] Epoch 12 loss: 344.72134494781494; train accuracy: 0.6422776442307693; test accuracy: 0.3605 2025-09-25 01:24:40 [INFO] Round 12 Finish--------| 2025-09-25 01:24:40 [INFO] Model variance: mean: 0.0025314863305538893, sum: 28286.70703125 2025-09-25 01:24:40 [INFO] g_protos_std: 0.9735046029090881 2025-09-25 01:24:45 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7591 2025-09-25 01:24:46 [INFO] Round 13 starts--------| 2025-09-25 01:24:46 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:25:49 [INFO] Epoch 13 loss: 626.6858072280884; train accuracy: 0.8018349095394737; test accuracy: 0.6863 2025-09-25 01:25:49 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:26:43 [INFO] Epoch 13 loss: 528.8427491188049; train accuracy: 0.7021484375; test accuracy: 0.4729 2025-09-25 01:26:43 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:27:33 [INFO] Epoch 13 loss: 516.971658706665; train accuracy: 0.708917025862069; test accuracy: 0.5519 2025-09-25 01:27:33 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:28:39 [INFO] Epoch 13 loss: 600.31254529953; train accuracy: 0.7063530815972222; test accuracy: 0.582 2025-09-25 01:28:39 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:29:15 [INFO] Epoch 13 loss: 336.7286968231201; train accuracy: 0.585136217948718; test accuracy: 0.3248 2025-09-25 01:29:15 [INFO] Round 13 Finish--------| 2025-09-25 01:29:15 [INFO] Model variance: mean: 0.0026379202026873827, sum: 29475.9921875 2025-09-25 01:29:15 [INFO] g_protos_std: 0.9709143042564392 2025-09-25 01:29:20 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7635 2025-09-25 01:29:20 [INFO] Round 14 starts--------| 2025-09-25 01:29:20 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:30:27 [INFO] Epoch 14 loss: 612.9193115234375; train accuracy: 0.7773951480263158; test accuracy: 0.6751 2025-09-25 01:30:27 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:31:23 [INFO] Epoch 14 loss: 516.0036277770996; train accuracy: 0.6889490927419355; test accuracy: 0.4631 2025-09-25 01:31:23 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:32:15 [INFO] Epoch 14 loss: 521.5664987564087; train accuracy: 0.6604593211206896; test accuracy: 0.4875 2025-09-25 01:32:15 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:33:18 [INFO] Epoch 14 loss: 581.6727070808411; train accuracy: 0.75927734375; test accuracy: 0.6048 2025-09-25 01:33:18 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:33:53 [INFO] Epoch 14 loss: 335.5805902481079; train accuracy: 0.676933092948718; test accuracy: 0.4007 2025-09-25 01:33:53 [INFO] Round 14 Finish--------| 2025-09-25 01:33:53 [INFO] Model variance: mean: 0.0027422187849879265, sum: 30641.421875 2025-09-25 01:33:53 [INFO] g_protos_std: 0.9682636260986328 2025-09-25 01:33:59 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.777 2025-09-25 01:33:59 [INFO] Round 15 starts--------| 2025-09-25 01:33:59 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:35:06 [INFO] Epoch 15 loss: 612.9738540649414; train accuracy: 0.7993421052631579; test accuracy: 0.6726 2025-09-25 01:35:07 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:36:02 [INFO] Epoch 15 loss: 515.7678732872009; train accuracy: 0.7538432459677419; test accuracy: 0.504 2025-09-25 01:36:03 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:36:52 [INFO] Epoch 15 loss: 513.3599214553833; train accuracy: 0.7291554418103449; test accuracy: 0.5696 2025-09-25 01:36:52 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:37:54 [INFO] Epoch 15 loss: 582.5791568756104; train accuracy: 0.7153049045138888; test accuracy: 0.5593 2025-09-25 01:37:55 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:38:31 [INFO] Epoch 15 loss: 334.01055574417114; train accuracy: 0.6872996794871795; test accuracy: 0.3526 2025-09-25 01:38:32 [INFO] Round 15 Finish--------| 2025-09-25 01:38:32 [INFO] Model variance: mean: 0.002841453067958355, sum: 31750.259765625 2025-09-25 01:38:32 [INFO] g_protos_std: 0.9656541347503662 2025-09-25 01:38:37 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7873 2025-09-25 01:38:37 [INFO] Round 16 starts--------| 2025-09-25 01:38:37 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:39:40 [INFO] Epoch 16 loss: 603.282865524292; train accuracy: 0.812731291118421; test accuracy: 0.6944 2025-09-25 01:39:40 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:40:32 [INFO] Epoch 16 loss: 514.221622467041; train accuracy: 0.7537487399193549; test accuracy: 0.5134 2025-09-25 01:40:32 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:41:22 [INFO] Epoch 16 loss: 509.65202617645264; train accuracy: 0.6393116918103449; test accuracy: 0.5286 2025-09-25 01:41:22 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:42:25 [INFO] Epoch 16 loss: 572.11851978302; train accuracy: 0.6007758246527778; test accuracy: 0.5039 2025-09-25 01:42:25 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:43:01 [INFO] Epoch 16 loss: 330.1406011581421; train accuracy: 0.6253505608974359; test accuracy: 0.3498 2025-09-25 01:43:01 [INFO] Round 16 Finish--------| 2025-09-25 01:43:01 [INFO] Model variance: mean: 0.002939977217465639, sum: 32851.1640625 2025-09-25 01:43:01 [INFO] g_protos_std: 0.963010847568512 2025-09-25 01:43:06 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.7888 2025-09-25 01:43:06 [INFO] Round 17 starts--------| 2025-09-25 01:43:06 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:44:12 [INFO] Epoch 17 loss: 604.9200077056885; train accuracy: 0.7464535361842105; test accuracy: 0.6295 2025-09-25 01:44:12 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:45:08 [INFO] Epoch 17 loss: 508.5023856163025; train accuracy: 0.7260269657258065; test accuracy: 0.5066 2025-09-25 01:45:08 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:45:59 [INFO] Epoch 17 loss: 503.8510184288025; train accuracy: 0.6302195581896551; test accuracy: 0.5072 2025-09-25 01:45:59 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:47:04 [INFO] Epoch 17 loss: 575.0074391365051; train accuracy: 0.7368706597222222; test accuracy: 0.6035 2025-09-25 01:47:04 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:47:40 [INFO] Epoch 17 loss: 329.0535283088684; train accuracy: 0.6768830128205128; test accuracy: 0.3667 2025-09-25 01:47:40 [INFO] Round 17 Finish--------| 2025-09-25 01:47:40 [INFO] Model variance: mean: 0.0030355744529515505, sum: 33919.36328125 2025-09-25 01:47:40 [INFO] g_protos_std: 0.9604048132896423 2025-09-25 01:47:46 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8021 2025-09-25 01:47:46 [INFO] Round 18 starts--------| 2025-09-25 01:47:46 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:48:54 [INFO] Epoch 18 loss: 590.3006205558777; train accuracy: 0.7916324013157895; test accuracy: 0.6864 2025-09-25 01:48:54 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:49:53 [INFO] Epoch 18 loss: 504.35767459869385; train accuracy: 0.7660660282258065; test accuracy: 0.5366 2025-09-25 01:49:53 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:50:41 [INFO] Epoch 18 loss: 507.47152042388916; train accuracy: 0.7506398168103449; test accuracy: 0.5838 2025-09-25 01:50:41 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:51:42 [INFO] Epoch 18 loss: 572.4390897750854; train accuracy: 0.7918023003472222; test accuracy: 0.6726 2025-09-25 01:51:42 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:52:17 [INFO] Epoch 18 loss: 320.07566595077515; train accuracy: 0.5604467147435898; test accuracy: 0.3478 2025-09-25 01:52:17 [INFO] Round 18 Finish--------| 2025-09-25 01:52:17 [INFO] Model variance: mean: 0.003129109274595976, sum: 34964.515625 2025-09-25 01:52:17 [INFO] g_protos_std: 0.9577664136886597 2025-09-25 01:52:22 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8028 2025-09-25 01:52:22 [INFO] Round 19 starts--------| 2025-09-25 01:52:22 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:53:29 [INFO] Epoch 19 loss: 591.0898489952087; train accuracy: 0.7791426809210527; test accuracy: 0.6695 2025-09-25 01:53:29 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:54:23 [INFO] Epoch 19 loss: 506.12625312805176; train accuracy: 0.7633253528225806; test accuracy: 0.5279 2025-09-25 01:54:23 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:55:14 [INFO] Epoch 19 loss: 501.779541015625; train accuracy: 0.7394261853448276; test accuracy: 0.5825 2025-09-25 01:55:14 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 01:56:19 [INFO] Epoch 19 loss: 567.0523772239685; train accuracy: 0.6820475260416666; test accuracy: 0.5786 2025-09-25 01:56:19 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 01:56:54 [INFO] Epoch 19 loss: 316.38841676712036; train accuracy: 0.7250100160256411; test accuracy: 0.4298 2025-09-25 01:56:54 [INFO] Round 19 Finish--------| 2025-09-25 01:56:54 [INFO] Model variance: mean: 0.0032205558381974697, sum: 35986.3359375 2025-09-25 01:56:54 [INFO] g_protos_std: 0.9551532864570618 2025-09-25 01:56:59 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8085 2025-09-25 01:56:59 [INFO] Round 20 starts--------| 2025-09-25 01:56:59 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 01:58:07 [INFO] Epoch 20 loss: 594.171929359436; train accuracy: 0.8213918585526315; test accuracy: 0.7038 2025-09-25 01:58:07 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 01:59:01 [INFO] Epoch 20 loss: 497.9045715332031; train accuracy: 0.6860194052419355; test accuracy: 0.4823 2025-09-25 01:59:02 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 01:59:51 [INFO] Epoch 20 loss: 503.3265104293823; train accuracy: 0.6182987607758621; test accuracy: 0.5063 2025-09-25 01:59:52 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:00:52 [INFO] Epoch 20 loss: 558.7582530975342; train accuracy: 0.7501356336805556; test accuracy: 0.6149 2025-09-25 02:00:53 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:01:28 [INFO] Epoch 20 loss: 319.2559781074524; train accuracy: 0.7763922275641025; test accuracy: 0.4353 2025-09-25 02:01:29 [INFO] Round 20 Finish--------| 2025-09-25 02:01:29 [INFO] Model variance: mean: 0.0033072172664105892, sum: 36954.6875 2025-09-25 02:01:29 [INFO] g_protos_std: 0.9525404572486877 2025-09-25 02:01:34 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.809 2025-09-25 02:01:34 [INFO] Round 21 starts--------| 2025-09-25 02:01:34 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:02:40 [INFO] Epoch 21 loss: 578.0698819160461; train accuracy: 0.8545178865131579; test accuracy: 0.7159 2025-09-25 02:02:40 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:03:34 [INFO] Epoch 21 loss: 492.1358060836792; train accuracy: 0.7254914314516129; test accuracy: 0.5207 2025-09-25 02:03:34 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:04:26 [INFO] Epoch 21 loss: 496.08921241760254; train accuracy: 0.7353852370689655; test accuracy: 0.5589 2025-09-25 02:04:26 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:05:28 [INFO] Epoch 21 loss: 568.4292821884155; train accuracy: 0.7093098958333334; test accuracy: 0.5916 2025-09-25 02:05:28 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:06:03 [INFO] Epoch 21 loss: 317.50357007980347; train accuracy: 0.7184995993589743; test accuracy: 0.4525 2025-09-25 02:06:03 [INFO] Round 21 Finish--------| 2025-09-25 02:06:03 [INFO] Model variance: mean: 0.003393470775336027, sum: 37918.48046875 2025-09-25 02:06:03 [INFO] g_protos_std: 0.9499322772026062 2025-09-25 02:06:08 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8093 2025-09-25 02:06:08 [INFO] Round 22 starts--------| 2025-09-25 02:06:08 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:07:12 [INFO] Epoch 22 loss: 578.2260856628418; train accuracy: 0.84375; test accuracy: 0.7176 2025-09-25 02:07:12 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:08:06 [INFO] Epoch 22 loss: 493.96677446365356; train accuracy: 0.8065146169354839; test accuracy: 0.5732 2025-09-25 02:08:06 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:08:55 [INFO] Epoch 22 loss: 494.7396297454834; train accuracy: 0.6572265625; test accuracy: 0.4999 2025-09-25 02:08:55 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:09:58 [INFO] Epoch 22 loss: 565.3508644104004; train accuracy: 0.7343207465277778; test accuracy: 0.6196 2025-09-25 02:09:58 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:10:30 [INFO] Epoch 22 loss: 321.7281918525696; train accuracy: 0.5830829326923077; test accuracy: 0.3014 2025-09-25 02:10:30 [INFO] Round 22 Finish--------| 2025-09-25 02:10:30 [INFO] Model variance: mean: 0.0034772951621562243, sum: 38855.12890625 2025-09-25 02:10:30 [INFO] g_protos_std: 0.9473296403884888 2025-09-25 02:10:36 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8135 2025-09-25 02:10:36 [INFO] Round 23 starts--------| 2025-09-25 02:10:36 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:11:41 [INFO] Epoch 23 loss: 578.0635886192322; train accuracy: 0.8118575246710527; test accuracy: 0.6801 2025-09-25 02:11:41 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:12:35 [INFO] Epoch 23 loss: 492.5937089920044; train accuracy: 0.7659400201612904; test accuracy: 0.5382 2025-09-25 02:12:35 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:13:27 [INFO] Epoch 23 loss: 484.30293893814087; train accuracy: 0.7418844288793104; test accuracy: 0.601 2025-09-25 02:13:27 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:14:31 [INFO] Epoch 23 loss: 552.6693806648254; train accuracy: 0.7306586371527778; test accuracy: 0.6077 2025-09-25 02:14:31 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:15:08 [INFO] Epoch 23 loss: 313.1990270614624; train accuracy: 0.8016826923076923; test accuracy: 0.4778 2025-09-25 02:15:08 [INFO] Round 23 Finish--------| 2025-09-25 02:15:08 [INFO] Model variance: mean: 0.0035607432946562767, sum: 39787.57421875 2025-09-25 02:15:08 [INFO] g_protos_std: 0.9447194337844849 2025-09-25 02:15:14 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8207 2025-09-25 02:15:14 [INFO] Round 24 starts--------| 2025-09-25 02:15:14 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:16:26 [INFO] Epoch 24 loss: 580.3095073699951; train accuracy: 0.825452302631579; test accuracy: 0.6882 2025-09-25 02:16:26 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:17:25 [INFO] Epoch 24 loss: 484.24109649658203; train accuracy: 0.7874558971774194; test accuracy: 0.5619 2025-09-25 02:17:25 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:18:17 [INFO] Epoch 24 loss: 478.47294902801514; train accuracy: 0.7899043642241379; test accuracy: 0.6396 2025-09-25 02:18:17 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:19:19 [INFO] Epoch 24 loss: 548.8953757286072; train accuracy: 0.7902018229166666; test accuracy: 0.678 2025-09-25 02:19:19 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:19:56 [INFO] Epoch 24 loss: 315.49441051483154; train accuracy: 0.7889623397435898; test accuracy: 0.484 2025-09-25 02:19:56 [INFO] Round 24 Finish--------| 2025-09-25 02:19:56 [INFO] Model variance: mean: 0.003643219592049718, sum: 40709.16015625 2025-09-25 02:19:56 [INFO] g_protos_std: 0.9421058893203735 2025-09-25 02:20:02 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.832 2025-09-25 02:20:02 [INFO] Round 25 starts--------| 2025-09-25 02:20:02 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:21:08 [INFO] Epoch 25 loss: 581.8100275993347; train accuracy: 0.7289268092105263; test accuracy: 0.6172 2025-09-25 02:21:09 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:22:04 [INFO] Epoch 25 loss: 489.66217279434204; train accuracy: 0.7751071068548387; test accuracy: 0.5449 2025-09-25 02:22:05 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:22:59 [INFO] Epoch 25 loss: 481.86814165115356; train accuracy: 0.7349137931034483; test accuracy: 0.5546 2025-09-25 02:22:59 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:24:06 [INFO] Epoch 25 loss: 537.0681500434875; train accuracy: 0.8478190104166666; test accuracy: 0.6647 2025-09-25 02:24:07 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:24:44 [INFO] Epoch 25 loss: 311.18217372894287; train accuracy: 0.8137520032051282; test accuracy: 0.4902 2025-09-25 02:24:45 [INFO] Round 25 Finish--------| 2025-09-25 02:24:45 [INFO] Model variance: mean: 0.0037220090162009, sum: 41589.55078125 2025-09-25 02:24:45 [INFO] g_protos_std: 0.939509391784668 2025-09-25 02:24:50 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8362 2025-09-25 02:24:50 [INFO] Round 26 starts--------| 2025-09-25 02:24:50 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:26:00 [INFO] Epoch 26 loss: 560.2770462036133; train accuracy: 0.806640625; test accuracy: 0.674 2025-09-25 02:26:00 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:26:58 [INFO] Epoch 26 loss: 480.73851680755615; train accuracy: 0.6928238407258065; test accuracy: 0.4758 2025-09-25 02:26:58 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:27:54 [INFO] Epoch 26 loss: 483.00164461135864; train accuracy: 0.7695649245689655; test accuracy: 0.6265 2025-09-25 02:27:54 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:28:59 [INFO] Epoch 26 loss: 544.5713896751404; train accuracy: 0.7332628038194444; test accuracy: 0.5947 2025-09-25 02:28:59 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:29:38 [INFO] Epoch 26 loss: 315.16315937042236; train accuracy: 0.7595653044871795; test accuracy: 0.45 2025-09-25 02:29:38 [INFO] Round 26 Finish--------| 2025-09-25 02:29:38 [INFO] Model variance: mean: 0.0038004990201443434, sum: 42466.59375 2025-09-25 02:29:38 [INFO] g_protos_std: 0.936909556388855 2025-09-25 02:29:43 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8365 2025-09-25 02:29:43 [INFO] Round 27 starts--------| 2025-09-25 02:29:43 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:30:52 [INFO] Epoch 27 loss: 558.7684693336487; train accuracy: 0.8289473684210527; test accuracy: 0.6927 2025-09-25 02:30:52 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:31:47 [INFO] Epoch 27 loss: 476.88781929016113; train accuracy: 0.7899445564516129; test accuracy: 0.5569 2025-09-25 02:31:47 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:32:40 [INFO] Epoch 27 loss: 486.0121040344238; train accuracy: 0.7690261314655172; test accuracy: 0.6323 2025-09-25 02:32:40 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:33:42 [INFO] Epoch 27 loss: 546.4101276397705; train accuracy: 0.8064236111111112; test accuracy: 0.6617 2025-09-25 02:33:42 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:34:16 [INFO] Epoch 27 loss: 314.5960717201233; train accuracy: 0.7613681891025641; test accuracy: 0.5013 2025-09-25 02:34:16 [INFO] Round 27 Finish--------| 2025-09-25 02:34:16 [INFO] Model variance: mean: 0.003876489819958806, sum: 43315.7109375 2025-09-25 02:34:16 [INFO] g_protos_std: 0.9343338012695312 2025-09-25 02:34:22 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8359 2025-09-25 02:34:22 [INFO] Round 28 starts--------| 2025-09-25 02:34:22 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:35:25 [INFO] Epoch 28 loss: 560.7551875114441; train accuracy: 0.8090306332236842; test accuracy: 0.6792 2025-09-25 02:35:25 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:36:18 [INFO] Epoch 28 loss: 471.7325086593628; train accuracy: 0.8044354838709677; test accuracy: 0.5788 2025-09-25 02:36:18 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:37:09 [INFO] Epoch 28 loss: 475.0752782821655; train accuracy: 0.7248787715517241; test accuracy: 0.5855 2025-09-25 02:37:09 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:38:10 [INFO] Epoch 28 loss: 542.6146750450134; train accuracy: 0.7890896267361112; test accuracy: 0.68 2025-09-25 02:38:10 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:38:46 [INFO] Epoch 28 loss: 310.0438380241394; train accuracy: 0.8234675480769231; test accuracy: 0.4978 2025-09-25 02:38:46 [INFO] Round 28 Finish--------| 2025-09-25 02:38:46 [INFO] Model variance: mean: 0.003952660132199526, sum: 44166.8359375 2025-09-25 02:38:46 [INFO] g_protos_std: 0.9317359328269958 2025-09-25 02:38:52 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8392 2025-09-25 02:38:52 [INFO] Round 29 starts--------| 2025-09-25 02:38:52 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:40:00 [INFO] Epoch 29 loss: 552.8791394233704; train accuracy: 0.7884200246710527; test accuracy: 0.659 2025-09-25 02:40:00 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:40:57 [INFO] Epoch 29 loss: 480.604425907135; train accuracy: 0.8481287802419355; test accuracy: 0.5957 2025-09-25 02:40:57 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:41:51 [INFO] Epoch 29 loss: 469.4567232131958; train accuracy: 0.779229525862069; test accuracy: 0.6193 2025-09-25 02:41:51 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:42:53 [INFO] Epoch 29 loss: 538.6555690765381; train accuracy: 0.8395724826388888; test accuracy: 0.6922 2025-09-25 02:42:53 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:43:26 [INFO] Epoch 29 loss: 302.29041385650635; train accuracy: 0.8092948717948718; test accuracy: 0.5019 2025-09-25 02:43:26 [INFO] Round 29 Finish--------| 2025-09-25 02:43:26 [INFO] Model variance: mean: 0.004028673283755779, sum: 45016.19921875 2025-09-25 02:43:26 [INFO] g_protos_std: 0.9291367530822754 2025-09-25 02:43:32 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8509 2025-09-25 02:43:32 [INFO] Round 30 starts--------| 2025-09-25 02:43:32 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:44:37 [INFO] Epoch 30 loss: 552.7853984832764; train accuracy: 0.8509457236842105; test accuracy: 0.715 2025-09-25 02:44:37 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:45:32 [INFO] Epoch 30 loss: 471.0684585571289; train accuracy: 0.7102759576612904; test accuracy: 0.5123 2025-09-25 02:45:32 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:46:27 [INFO] Epoch 30 loss: 470.7017068862915; train accuracy: 0.7978852370689655; test accuracy: 0.6379 2025-09-25 02:46:27 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:47:34 [INFO] Epoch 30 loss: 533.0647802352905; train accuracy: 0.739990234375; test accuracy: 0.6019 2025-09-25 02:47:34 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:48:10 [INFO] Epoch 30 loss: 307.0977602005005; train accuracy: 0.8309294871794872; test accuracy: 0.5179 2025-09-25 02:48:11 [INFO] Round 30 Finish--------| 2025-09-25 02:48:11 [INFO] Model variance: mean: 0.004101025406271219, sum: 45824.66015625 2025-09-25 02:48:11 [INFO] g_protos_std: 0.926561713218689 2025-09-25 02:48:16 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8467 2025-09-25 02:48:16 [INFO] Round 31 starts--------| 2025-09-25 02:48:16 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:49:23 [INFO] Epoch 31 loss: 555.6693897247314; train accuracy: 0.8136050575657895; test accuracy: 0.7029 2025-09-25 02:49:23 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:50:20 [INFO] Epoch 31 loss: 457.6293511390686; train accuracy: 0.8363155241935484; test accuracy: 0.5922 2025-09-25 02:50:20 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:51:13 [INFO] Epoch 31 loss: 475.50987482070923; train accuracy: 0.7687904094827587; test accuracy: 0.6277 2025-09-25 02:51:13 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:52:20 [INFO] Epoch 31 loss: 533.5681748390198; train accuracy: 0.8055555555555556; test accuracy: 0.6878 2025-09-25 02:52:20 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:52:57 [INFO] Epoch 31 loss: 311.00133419036865; train accuracy: 0.7948717948717948; test accuracy: 0.5246 2025-09-25 02:52:57 [INFO] Round 31 Finish--------| 2025-09-25 02:52:57 [INFO] Model variance: mean: 0.00417345343157649, sum: 46633.96875 2025-09-25 02:52:57 [INFO] g_protos_std: 0.9239869713783264 2025-09-25 02:53:02 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.851 2025-09-25 02:53:02 [INFO] Round 32 starts--------| 2025-09-25 02:53:02 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:54:09 [INFO] Epoch 32 loss: 555.3047637939453; train accuracy: 0.8567280016447368; test accuracy: 0.7183 2025-09-25 02:54:09 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:55:04 [INFO] Epoch 32 loss: 472.50352668762207; train accuracy: 0.7794858870967742; test accuracy: 0.5724 2025-09-25 02:55:04 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 02:55:56 [INFO] Epoch 32 loss: 468.9760904312134; train accuracy: 0.7756936961206896; test accuracy: 0.5997 2025-09-25 02:55:56 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 02:57:00 [INFO] Epoch 32 loss: 527.3567748069763; train accuracy: 0.8257107204861112; test accuracy: 0.721 2025-09-25 02:57:00 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 02:57:36 [INFO] Epoch 32 loss: 302.45441341400146; train accuracy: 0.8104467147435898; test accuracy: 0.513 2025-09-25 02:57:36 [INFO] Round 32 Finish--------| 2025-09-25 02:57:36 [INFO] Model variance: mean: 0.004244617652148008, sum: 47429.15234375 2025-09-25 02:57:36 [INFO] g_protos_std: 0.921399712562561 2025-09-25 02:57:41 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8502 2025-09-25 02:57:41 [INFO] Round 33 starts--------| 2025-09-25 02:57:41 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 02:58:44 [INFO] Epoch 33 loss: 541.7480525970459; train accuracy: 0.8658511513157895; test accuracy: 0.7281 2025-09-25 02:58:44 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 02:59:35 [INFO] Epoch 33 loss: 467.9719948768616; train accuracy: 0.7485194052419355; test accuracy: 0.5385 2025-09-25 02:59:35 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:00:23 [INFO] Epoch 33 loss: 464.9266023635864; train accuracy: 0.8257677801724138; test accuracy: 0.6734 2025-09-25 03:00:23 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:01:20 [INFO] Epoch 33 loss: 529.8250169754028; train accuracy: 0.8578016493055556; test accuracy: 0.7156 2025-09-25 03:01:20 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:01:53 [INFO] Epoch 33 loss: 300.11364364624023; train accuracy: 0.870292467948718; test accuracy: 0.5196 2025-09-25 03:01:53 [INFO] Round 33 Finish--------| 2025-09-25 03:01:53 [INFO] Model variance: mean: 0.004315746482461691, sum: 48223.9453125 2025-09-25 03:01:53 [INFO] g_protos_std: 0.918813169002533 2025-09-25 03:01:59 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8518 2025-09-25 03:01:59 [INFO] Round 34 starts--------| 2025-09-25 03:01:59 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:03:08 [INFO] Epoch 34 loss: 553.2568445205688; train accuracy: 0.8529502467105263; test accuracy: 0.7236 2025-09-25 03:03:08 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:04:02 [INFO] Epoch 34 loss: 462.4400944709778; train accuracy: 0.7182774697580645; test accuracy: 0.5261 2025-09-25 03:04:02 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:04:53 [INFO] Epoch 34 loss: 459.92755794525146; train accuracy: 0.7597992995689655; test accuracy: 0.5931 2025-09-25 03:04:53 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:05:57 [INFO] Epoch 34 loss: 526.8343653678894; train accuracy: 0.8435601128472222; test accuracy: 0.711 2025-09-25 03:05:57 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:06:32 [INFO] Epoch 34 loss: 300.3383264541626; train accuracy: 0.8206630608974359; test accuracy: 0.5545 2025-09-25 03:06:32 [INFO] Round 34 Finish--------| 2025-09-25 03:06:32 [INFO] Model variance: mean: 0.0043843281455338, sum: 48990.26953125 2025-09-25 03:06:32 [INFO] g_protos_std: 0.9162570238113403 2025-09-25 03:06:37 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8532 2025-09-25 03:06:37 [INFO] Round 35 starts--------| 2025-09-25 03:06:37 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:07:45 [INFO] Epoch 35 loss: 551.6985201835632; train accuracy: 0.7672183388157895; test accuracy: 0.6503 2025-09-25 03:07:45 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:08:40 [INFO] Epoch 35 loss: 467.70591497421265; train accuracy: 0.7630418346774194; test accuracy: 0.5635 2025-09-25 03:08:40 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:09:33 [INFO] Epoch 35 loss: 446.2445755004883; train accuracy: 0.7944841056034483; test accuracy: 0.6434 2025-09-25 03:09:33 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:10:38 [INFO] Epoch 35 loss: 524.2259473800659; train accuracy: 0.85986328125; test accuracy: 0.7129 2025-09-25 03:10:38 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:11:12 [INFO] Epoch 35 loss: 301.127197265625; train accuracy: 0.8686398237179487; test accuracy: 0.5456 2025-09-25 03:11:13 [INFO] Round 35 Finish--------| 2025-09-25 03:11:13 [INFO] Model variance: mean: 0.00445312587544322, sum: 49759.01171875 2025-09-25 03:11:13 [INFO] g_protos_std: 0.9137003421783447 2025-09-25 03:11:18 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8577 2025-09-25 03:11:18 [INFO] Round 36 starts--------| 2025-09-25 03:11:18 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:12:27 [INFO] Epoch 36 loss: 538.8713617324829; train accuracy: 0.8357576069078947; test accuracy: 0.6956 2025-09-25 03:12:27 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:13:23 [INFO] Epoch 36 loss: 463.15574979782104; train accuracy: 0.8220766129032258; test accuracy: 0.6044 2025-09-25 03:13:23 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:14:17 [INFO] Epoch 36 loss: 454.01422119140625; train accuracy: 0.815497036637931; test accuracy: 0.6378 2025-09-25 03:14:17 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:15:19 [INFO] Epoch 36 loss: 528.2065706253052; train accuracy: 0.8238932291666666; test accuracy: 0.7031 2025-09-25 03:15:19 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:15:53 [INFO] Epoch 36 loss: 299.74904918670654; train accuracy: 0.8078926282051282; test accuracy: 0.5225 2025-09-25 03:15:53 [INFO] Round 36 Finish--------| 2025-09-25 03:15:53 [INFO] Model variance: mean: 0.004520868416875601, sum: 50515.96484375 2025-09-25 03:15:53 [INFO] g_protos_std: 0.9111484885215759 2025-09-25 03:15:59 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8567 2025-09-25 03:15:59 [INFO] Round 37 starts--------| 2025-09-25 03:15:59 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:17:05 [INFO] Epoch 37 loss: 539.9220209121704; train accuracy: 0.8603258634868421; test accuracy: 0.6965 2025-09-25 03:17:05 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:18:00 [INFO] Epoch 37 loss: 461.01402044296265; train accuracy: 0.755890877016129; test accuracy: 0.5424 2025-09-25 03:18:00 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:18:50 [INFO] Epoch 37 loss: 451.84390687942505; train accuracy: 0.8252289870689655; test accuracy: 0.6645 2025-09-25 03:18:50 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:19:51 [INFO] Epoch 37 loss: 513.2064204216003; train accuracy: 0.842529296875; test accuracy: 0.6977 2025-09-25 03:19:51 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:20:27 [INFO] Epoch 37 loss: 298.5132670402527; train accuracy: 0.8436498397435898; test accuracy: 0.5618 2025-09-25 03:20:27 [INFO] Round 37 Finish--------| 2025-09-25 03:20:27 [INFO] Model variance: mean: 0.004588984418660402, sum: 51277.08984375 2025-09-25 03:20:27 [INFO] g_protos_std: 0.9085953831672668 2025-09-25 03:20:32 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8598 2025-09-25 03:20:32 [INFO] Round 38 starts--------| 2025-09-25 03:20:32 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:21:41 [INFO] Epoch 38 loss: 539.9942488670349; train accuracy: 0.8593236019736842; test accuracy: 0.7224 2025-09-25 03:21:41 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:22:35 [INFO] Epoch 38 loss: 461.08322763442993; train accuracy: 0.8312752016129032; test accuracy: 0.6244 2025-09-25 03:22:35 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:23:25 [INFO] Epoch 38 loss: 453.2209038734436; train accuracy: 0.7701037176724138; test accuracy: 0.6341 2025-09-25 03:23:25 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:24:28 [INFO] Epoch 38 loss: 514.2279901504517; train accuracy: 0.8414171006944444; test accuracy: 0.7069 2025-09-25 03:24:28 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:25:00 [INFO] Epoch 38 loss: 292.76059198379517; train accuracy: 0.8679387019230769; test accuracy: 0.5293 2025-09-25 03:25:00 [INFO] Round 38 Finish--------| 2025-09-25 03:25:00 [INFO] Model variance: mean: 0.004655239637941122, sum: 52017.421875 2025-09-25 03:25:00 [INFO] g_protos_std: 0.9060422778129578 2025-09-25 03:25:05 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8633 2025-09-25 03:25:05 [INFO] Round 39 starts--------| 2025-09-25 03:25:05 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:26:09 [INFO] Epoch 39 loss: 537.386082649231; train accuracy: 0.8472193667763158; test accuracy: 0.7159 2025-09-25 03:26:09 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:27:05 [INFO] Epoch 39 loss: 454.77195930480957; train accuracy: 0.8585559475806451; test accuracy: 0.6029 2025-09-25 03:27:05 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:27:55 [INFO] Epoch 39 loss: 464.42056703567505; train accuracy: 0.7715180495689655; test accuracy: 0.6086 2025-09-25 03:27:55 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:28:57 [INFO] Epoch 39 loss: 516.099760055542; train accuracy: 0.8422037760416666; test accuracy: 0.703 2025-09-25 03:28:57 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:29:33 [INFO] Epoch 39 loss: 293.8505291938782; train accuracy: 0.8023838141025641; test accuracy: 0.5236 2025-09-25 03:29:33 [INFO] Round 39 Finish--------| 2025-09-25 03:29:33 [INFO] Model variance: mean: 0.004719432909041643, sum: 52734.71484375 2025-09-25 03:29:33 [INFO] g_protos_std: 0.9034865498542786 2025-09-25 03:29:39 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8616 2025-09-25 03:29:39 [INFO] Round 40 starts--------| 2025-09-25 03:29:39 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:30:44 [INFO] Epoch 40 loss: 537.9500317573547; train accuracy: 0.864000822368421; test accuracy: 0.7225 2025-09-25 03:30:45 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:31:41 [INFO] Epoch 40 loss: 455.4869465827942; train accuracy: 0.8118069556451613; test accuracy: 0.5765 2025-09-25 03:31:41 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:32:32 [INFO] Epoch 40 loss: 450.96625661849976; train accuracy: 0.785088900862069; test accuracy: 0.6155 2025-09-25 03:32:32 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:33:34 [INFO] Epoch 40 loss: 512.8848142623901; train accuracy: 0.824462890625; test accuracy: 0.7146 2025-09-25 03:33:35 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:34:09 [INFO] Epoch 40 loss: 292.87958908081055; train accuracy: 0.8546173878205128; test accuracy: 0.5531 2025-09-25 03:34:10 [INFO] Round 40 Finish--------| 2025-09-25 03:34:10 [INFO] Model variance: mean: 0.004783920478075743, sum: 53455.296875 2025-09-25 03:34:10 [INFO] g_protos_std: 0.9009542465209961 2025-09-25 03:34:15 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8701 2025-09-25 03:34:15 [INFO] Round 41 starts--------| 2025-09-25 03:34:15 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:35:22 [INFO] Epoch 41 loss: 550.4345331192017; train accuracy: 0.8048159950657895; test accuracy: 0.6837 2025-09-25 03:35:22 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:36:11 [INFO] Epoch 41 loss: 454.87099742889404; train accuracy: 0.832062752016129; test accuracy: 0.5987 2025-09-25 03:36:11 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:37:00 [INFO] Epoch 41 loss: 449.80019426345825; train accuracy: 0.8247238685344828; test accuracy: 0.6571 2025-09-25 03:37:00 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:38:01 [INFO] Epoch 41 loss: 525.3589992523193; train accuracy: 0.8371310763888888; test accuracy: 0.6801 2025-09-25 03:38:01 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:38:34 [INFO] Epoch 41 loss: 290.681209564209; train accuracy: 0.8307792467948718; test accuracy: 0.5026 2025-09-25 03:38:34 [INFO] Round 41 Finish--------| 2025-09-25 03:38:34 [INFO] Model variance: mean: 0.004846427123993635, sum: 54153.7421875 2025-09-25 03:38:34 [INFO] g_protos_std: 0.8984625935554504 2025-09-25 03:38:40 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8632 2025-09-25 03:38:40 [INFO] Round 42 starts--------| 2025-09-25 03:38:40 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:39:42 [INFO] Epoch 42 loss: 531.0149345397949; train accuracy: 0.8627672697368421; test accuracy: 0.7171 2025-09-25 03:39:42 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:40:38 [INFO] Epoch 42 loss: 451.3530488014221; train accuracy: 0.8217930947580645; test accuracy: 0.6243 2025-09-25 03:40:38 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:41:30 [INFO] Epoch 42 loss: 443.3631558418274; train accuracy: 0.7976495150862069; test accuracy: 0.6264 2025-09-25 03:41:30 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:42:32 [INFO] Epoch 42 loss: 510.65086460113525; train accuracy: 0.8290744357638888; test accuracy: 0.6783 2025-09-25 03:42:32 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:43:07 [INFO] Epoch 42 loss: 294.67133474349976; train accuracy: 0.8748998397435898; test accuracy: 0.5145 2025-09-25 03:43:07 [INFO] Round 42 Finish--------| 2025-09-25 03:43:07 [INFO] Model variance: mean: 0.004910936579108238, sum: 54874.5703125 2025-09-25 03:43:07 [INFO] g_protos_std: 0.8959271311759949 2025-09-25 03:43:13 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8664 2025-09-25 03:43:13 [INFO] Round 43 starts--------| 2025-09-25 03:43:13 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:44:15 [INFO] Epoch 43 loss: 521.9759278297424; train accuracy: 0.8779810855263158; test accuracy: 0.7413 2025-09-25 03:44:15 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:45:10 [INFO] Epoch 43 loss: 454.23749256134033; train accuracy: 0.7532762096774194; test accuracy: 0.5626 2025-09-25 03:45:10 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:46:03 [INFO] Epoch 43 loss: 442.51315450668335; train accuracy: 0.8206829202586207; test accuracy: 0.668 2025-09-25 03:46:03 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:47:08 [INFO] Epoch 43 loss: 511.83790397644043; train accuracy: 0.8771158854166666; test accuracy: 0.7247 2025-09-25 03:47:08 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:47:44 [INFO] Epoch 43 loss: 300.10190868377686; train accuracy: 0.8480068108974359; test accuracy: 0.5182 2025-09-25 03:47:44 [INFO] Round 43 Finish--------| 2025-09-25 03:47:44 [INFO] Model variance: mean: 0.004973786883056164, sum: 55576.85546875 2025-09-25 03:47:44 [INFO] g_protos_std: 0.8934080004692078 2025-09-25 03:47:50 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8734 2025-09-25 03:47:50 [INFO] Round 44 starts--------| 2025-09-25 03:47:50 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:48:57 [INFO] Epoch 44 loss: 527.5845141410828; train accuracy: 0.8485814144736842; test accuracy: 0.7298 2025-09-25 03:48:57 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:49:53 [INFO] Epoch 44 loss: 449.2089385986328; train accuracy: 0.8374810987903226; test accuracy: 0.6001 2025-09-25 03:49:53 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:50:42 [INFO] Epoch 44 loss: 442.7952904701233; train accuracy: 0.8598801185344828; test accuracy: 0.7135 2025-09-25 03:50:42 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:51:43 [INFO] Epoch 44 loss: 513.4680333137512; train accuracy: 0.8539496527777778; test accuracy: 0.6988 2025-09-25 03:51:43 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:52:19 [INFO] Epoch 44 loss: 294.3147249221802; train accuracy: 0.8547175480769231; test accuracy: 0.5139 2025-09-25 03:52:19 [INFO] Round 44 Finish--------| 2025-09-25 03:52:19 [INFO] Model variance: mean: 0.005034917965531349, sum: 56259.9296875 2025-09-25 03:52:19 [INFO] g_protos_std: 0.8908956050872803 2025-09-25 03:52:25 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8722 2025-09-25 03:52:25 [INFO] Round 45 starts--------| 2025-09-25 03:52:25 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:53:32 [INFO] Epoch 45 loss: 525.7544960975647; train accuracy: 0.8865645559210527; test accuracy: 0.7505 2025-09-25 03:53:33 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:54:27 [INFO] Epoch 45 loss: 447.15612506866455; train accuracy: 0.8303301411290323; test accuracy: 0.6014 2025-09-25 03:54:28 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:55:18 [INFO] Epoch 45 loss: 436.05519819259644; train accuracy: 0.8240503771551724; test accuracy: 0.671 2025-09-25 03:55:18 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 03:56:20 [INFO] Epoch 45 loss: 510.98421335220337; train accuracy: 0.8607313368055556; test accuracy: 0.7436 2025-09-25 03:56:20 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 03:56:56 [INFO] Epoch 45 loss: 290.99890995025635; train accuracy: 0.9014423076923077; test accuracy: 0.5565 2025-09-25 03:56:57 [INFO] Round 45 Finish--------| 2025-09-25 03:56:57 [INFO] Model variance: mean: 0.005095446482300758, sum: 56936.2734375 2025-09-25 03:56:57 [INFO] g_protos_std: 0.8883811831474304 2025-09-25 03:57:02 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8753 2025-09-25 03:57:02 [INFO] Round 46 starts--------| 2025-09-25 03:57:02 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 03:58:08 [INFO] Epoch 46 loss: 516.3574018478394; train accuracy: 0.8653628700657895; test accuracy: 0.7269 2025-09-25 03:58:08 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 03:59:01 [INFO] Epoch 46 loss: 439.19834423065186; train accuracy: 0.8668724798387096; test accuracy: 0.6041 2025-09-25 03:59:01 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 03:59:51 [INFO] Epoch 46 loss: 441.9471788406372; train accuracy: 0.853515625; test accuracy: 0.6838 2025-09-25 03:59:51 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 04:00:57 [INFO] Epoch 46 loss: 508.9887866973877; train accuracy: 0.8705512152777778; test accuracy: 0.7052 2025-09-25 04:00:57 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 04:01:31 [INFO] Epoch 46 loss: 285.9373712539673; train accuracy: 0.8254206730769231; test accuracy: 0.5266 2025-09-25 04:01:31 [INFO] Round 46 Finish--------| 2025-09-25 04:01:31 [INFO] Model variance: mean: 0.005156053230166435, sum: 57613.4921875 2025-09-25 04:01:31 [INFO] g_protos_std: 0.8858655691146851 2025-09-25 04:01:36 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8758 2025-09-25 04:01:36 [INFO] Round 47 starts--------| 2025-09-25 04:01:36 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 04:02:40 [INFO] Epoch 47 loss: 521.285632610321; train accuracy: 0.88623046875; test accuracy: 0.7474 2025-09-25 04:02:40 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 04:03:36 [INFO] Epoch 47 loss: 450.4423532485962; train accuracy: 0.8191784274193549; test accuracy: 0.6016 2025-09-25 04:03:36 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 04:04:26 [INFO] Epoch 47 loss: 440.2111086845398; train accuracy: 0.8471174568965517; test accuracy: 0.6839 2025-09-25 04:04:26 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 04:05:30 [INFO] Epoch 47 loss: 505.53466510772705; train accuracy: 0.8529730902777778; test accuracy: 0.7275 2025-09-25 04:05:30 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 04:06:06 [INFO] Epoch 47 loss: 291.51619052886963; train accuracy: 0.8360376602564102; test accuracy: 0.507 2025-09-25 04:06:06 [INFO] Round 47 Finish--------| 2025-09-25 04:06:06 [INFO] Model variance: mean: 0.005215452052652836, sum: 58277.2109375 2025-09-25 04:06:06 [INFO] g_protos_std: 0.8833757042884827 2025-09-25 04:06:11 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8784 2025-09-25 04:06:11 [INFO] Round 48 starts--------| 2025-09-25 04:06:11 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 04:07:16 [INFO] Epoch 48 loss: 511.9841046333313; train accuracy: 0.8725071957236842; test accuracy: 0.7326 2025-09-25 04:07:16 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 04:08:11 [INFO] Epoch 48 loss: 440.3903851509094; train accuracy: 0.8778666834677419; test accuracy: 0.6072 2025-09-25 04:08:11 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 04:09:02 [INFO] Epoch 48 loss: 433.63556241989136; train accuracy: 0.8290005387931034; test accuracy: 0.6756 2025-09-25 04:09:02 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 04:10:03 [INFO] Epoch 48 loss: 500.95140504837036; train accuracy: 0.8748101128472222; test accuracy: 0.7459 2025-09-25 04:10:03 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 04:10:38 [INFO] Epoch 48 loss: 280.9186863899231; train accuracy: 0.8822616185897436; test accuracy: 0.5383 2025-09-25 04:10:38 [INFO] Round 48 Finish--------| 2025-09-25 04:10:38 [INFO] Model variance: mean: 0.0052764820866286755, sum: 58959.15625 2025-09-25 04:10:38 [INFO] g_protos_std: 0.8808274269104004 2025-09-25 04:10:44 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8772 2025-09-25 04:10:44 [INFO] Round 49 starts--------| 2025-09-25 04:10:44 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 04:11:48 [INFO] Epoch 49 loss: 516.8707151412964; train accuracy: 0.856676603618421; test accuracy: 0.7185 2025-09-25 04:11:48 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 04:12:42 [INFO] Epoch 49 loss: 442.6223564147949; train accuracy: 0.802765877016129; test accuracy: 0.5905 2025-09-25 04:12:42 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 04:13:32 [INFO] Epoch 49 loss: 429.32784271240234; train accuracy: 0.8392376077586207; test accuracy: 0.6704 2025-09-25 04:13:32 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 04:14:35 [INFO] Epoch 49 loss: 501.52487325668335; train accuracy: 0.7949490017361112; test accuracy: 0.6756 2025-09-25 04:14:35 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 04:15:10 [INFO] Epoch 49 loss: 288.58077669143677; train accuracy: 0.9049479166666666; test accuracy: 0.56 2025-09-25 04:15:10 [INFO] Round 49 Finish--------| 2025-09-25 04:15:10 [INFO] Model variance: mean: 0.005335694644600153, sum: 59620.796875 2025-09-25 04:15:10 [INFO] g_protos_std: 0.8783071041107178 2025-09-25 04:15:15 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8803 2025-09-25 04:15:15 [INFO] Round 50 starts--------| 2025-09-25 04:15:15 [INFO] Client 0 Starts Local Trainning--------| 2025-09-25 04:16:20 [INFO] Epoch 50 loss: 511.4208526611328; train accuracy: 0.9126747532894737; test accuracy: 0.7593 2025-09-25 04:16:21 [INFO] Client 1 Starts Local Trainning--------| 2025-09-25 04:17:14 [INFO] Epoch 50 loss: 445.30249547958374; train accuracy: 0.8509639616935484; test accuracy: 0.6017 2025-09-25 04:17:15 [INFO] Client 2 Starts Local Trainning--------| 2025-09-25 04:18:08 [INFO] Epoch 50 loss: 432.70257806777954; train accuracy: 0.8177195581896551; test accuracy: 0.6512 2025-09-25 04:18:08 [INFO] Client 3 Starts Local Trainning--------| 2025-09-25 04:19:10 [INFO] Epoch 50 loss: 511.20818614959717; train accuracy: 0.8221028645833334; test accuracy: 0.6759 2025-09-25 04:19:11 [INFO] Client 4 Starts Local Trainning--------| 2025-09-25 04:19:45 [INFO] Epoch 50 loss: 282.9924998283386; train accuracy: 0.8474058493589743; test accuracy: 0.5783 2025-09-25 04:19:46 [INFO] Round 50 Finish--------| 2025-09-25 04:19:46 [INFO] Model variance: mean: 0.005392851307988167, sum: 60259.4609375 2025-09-25 04:19:46 [INFO] g_protos_std: 0.8758174180984497 2025-09-25 04:19:51 [INFO] The test accuracy (with prototype) of OneShotOursV5+Ensemble: 0.8772