2025-09-26 22:42:58 [INFO] Load config from ./configs/CIFAR10_alpha0.1.yaml 2025-09-26 22:42:58 [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, 'lambda_align_initial': 20.0} 2025-09-26 22:43:00 [INFO] Dataset CIFAR10 loaded 2025-09-26 22:43:00 [INFO] Dataset index dict loaded from preprocessed_data/CIFAR10.pt 2025-09-26 22:43:00 [INFO] OneshotOursV8 - Final Version: Consensus-Start Progressive Alignment 2025-09-26 22:43:01 [INFO] Initialized FINAL ETF anchors with shape: torch.Size([10, 512]) 2025-09-26 22:43:01 [INFO] Calculated a shared CONSENSUS start point for all clients. 2025-09-26 22:43:01 [INFO] Round 0 starts--------| 2025-09-26 22:43:01 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 22:43:58 [INFO] Epoch 0 loss: 486.8782196044922; train accuracy: 0.2693277994791667; test accuracy: 0.1368 2025-09-26 22:43:59 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_0/epoch_0.pth 2025-09-26 22:43:59 [INFO] Client 0 Finish Local Training--------| 2025-09-26 22:43:59 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 22:44:18 [INFO] Epoch 0 loss: 126.90164375305176; train accuracy: 0.7237079326923077; test accuracy: 0.1 2025-09-26 22:44:18 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_1/epoch_0.pth 2025-09-26 22:44:18 [INFO] Client 1 Finish Local Training--------| 2025-09-26 22:44:18 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 22:45:05 [INFO] Epoch 0 loss: 400.9686288833618; train accuracy: 0.295166015625; test accuracy: 0.127 2025-09-26 22:45:05 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_2/epoch_0.pth 2025-09-26 22:45:05 [INFO] Client 2 Finish Local Training--------| 2025-09-26 22:45:05 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 22:46:01 [INFO] Epoch 0 loss: 509.5148334503174; train accuracy: 0.363671875; test accuracy: 0.1953 2025-09-26 22:46:02 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_3/epoch_0.pth 2025-09-26 22:46:02 [INFO] Client 3 Finish Local Training--------| 2025-09-26 22:46:02 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 22:46:47 [INFO] Epoch 0 loss: 386.0936450958252; train accuracy: 0.3519130608974359; test accuracy: 0.1416 2025-09-26 22:46:47 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_4/epoch_0.pth 2025-09-26 22:46:47 [INFO] Client 4 Finish Local Training--------| 2025-09-26 22:46:47 [INFO] Round 0 Finish--------| 2025-09-26 22:46:47 [INFO] Model variance: mean: 0.0005560799618251622, sum: 6213.61083984375 2025-09-26 22:46:47 [INFO] g_protos_std: 1.0060445070266724 2025-09-26 22:46:55 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.3181 2025-09-26 22:46:55 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 22:46:55 [INFO] Round 1 starts--------| 2025-09-26 22:46:55 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 22:47:42 [INFO] Epoch 1 loss: 435.44322967529297; train accuracy: 0.3340657552083333; test accuracy: 0.1698 2025-09-26 22:47:42 [INFO] Client 0 Finish Local Training--------| 2025-09-26 22:47:42 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 22:47:57 [INFO] Epoch 1 loss: 107.37485027313232; train accuracy: 0.7249098557692307; test accuracy: 0.1 2025-09-26 22:47:57 [INFO] Client 1 Finish Local Training--------| 2025-09-26 22:47:57 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 22:48:38 [INFO] Epoch 1 loss: 373.35758876800537; train accuracy: 0.2689453125; test accuracy: 0.1134 2025-09-26 22:48:38 [INFO] Client 2 Finish Local Training--------| 2025-09-26 22:48:38 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 22:49:26 [INFO] Epoch 1 loss: 462.9104833602905; train accuracy: 0.3361328125; test accuracy: 0.1762 2025-09-26 22:49:26 [INFO] Client 3 Finish Local Training--------| 2025-09-26 22:49:26 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 22:50:01 [INFO] Epoch 1 loss: 338.5318374633789; train accuracy: 0.44150641025641024; test accuracy: 0.1783 2025-09-26 22:50:01 [INFO] Client 4 Finish Local Training--------| 2025-09-26 22:50:01 [INFO] Round 1 Finish--------| 2025-09-26 22:50:01 [INFO] Model variance: mean: 0.0007134851766750216, sum: 7972.44921875 2025-09-26 22:50:01 [INFO] g_protos_std: 1.0060598850250244 2025-09-26 22:50:08 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.3516 2025-09-26 22:50:08 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 22:50:08 [INFO] Round 2 starts--------| 2025-09-26 22:50:08 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 22:50:59 [INFO] Epoch 2 loss: 427.56109046936035; train accuracy: 0.3184814453125; test accuracy: 0.1652 2025-09-26 22:50:59 [INFO] Client 0 Finish Local Training--------| 2025-09-26 22:50:59 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 22:51:14 [INFO] Epoch 2 loss: 105.06780910491943; train accuracy: 0.7244591346153846; test accuracy: 0.1005 2025-09-26 22:51:14 [INFO] Client 1 Finish Local Training--------| 2025-09-26 22:51:14 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 22:51:53 [INFO] Epoch 2 loss: 361.77106952667236; train accuracy: 0.34921875; test accuracy: 0.1528 2025-09-26 22:51:53 [INFO] Client 2 Finish Local Training--------| 2025-09-26 22:51:53 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 22:52:44 [INFO] Epoch 2 loss: 453.0820960998535; train accuracy: 0.4151171875; test accuracy: 0.2274 2025-09-26 22:52:44 [INFO] Client 3 Finish Local Training--------| 2025-09-26 22:52:44 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 22:53:24 [INFO] Epoch 2 loss: 326.27422285079956; train accuracy: 0.5426682692307693; test accuracy: 0.2226 2025-09-26 22:53:24 [INFO] Client 4 Finish Local Training--------| 2025-09-26 22:53:24 [INFO] Round 2 Finish--------| 2025-09-26 22:53:24 [INFO] Model variance: mean: 0.0008464165730401874, sum: 9457.818359375 2025-09-26 22:53:24 [INFO] g_protos_std: 1.0060786008834839 2025-09-26 22:53:31 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.3739 2025-09-26 22:53:31 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 22:53:31 [INFO] Round 3 starts--------| 2025-09-26 22:53:31 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 22:54:16 [INFO] Epoch 3 loss: 420.50448989868164; train accuracy: 0.3618977864583333; test accuracy: 0.1826 2025-09-26 22:54:16 [INFO] Client 0 Finish Local Training--------| 2025-09-26 22:54:16 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 22:54:32 [INFO] Epoch 3 loss: 104.77354526519775; train accuracy: 0.7261117788461539; test accuracy: 0.1002 2025-09-26 22:54:32 [INFO] Client 1 Finish Local Training--------| 2025-09-26 22:54:32 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 22:55:11 [INFO] Epoch 3 loss: 357.99357414245605; train accuracy: 0.25771484375; test accuracy: 0.1088 2025-09-26 22:55:11 [INFO] Client 2 Finish Local Training--------| 2025-09-26 22:55:11 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 22:56:00 [INFO] Epoch 3 loss: 442.4589834213257; train accuracy: 0.363515625; test accuracy: 0.1911 2025-09-26 22:56:00 [INFO] Client 3 Finish Local Training--------| 2025-09-26 22:56:00 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 22:56:40 [INFO] Epoch 3 loss: 319.2570424079895; train accuracy: 0.4609875801282051; test accuracy: 0.1842 2025-09-26 22:56:40 [INFO] Client 4 Finish Local Training--------| 2025-09-26 22:56:40 [INFO] Round 3 Finish--------| 2025-09-26 22:56:40 [INFO] Model variance: mean: 0.0009615619783289731, sum: 10744.447265625 2025-09-26 22:56:40 [INFO] g_protos_std: 1.0060958862304688 2025-09-26 22:56:48 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.3954 2025-09-26 22:56:48 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 22:56:48 [INFO] Round 4 starts--------| 2025-09-26 22:56:48 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 22:57:35 [INFO] Epoch 4 loss: 406.2704281806946; train accuracy: 0.4590657552083333; test accuracy: 0.2302 2025-09-26 22:57:35 [INFO] Client 0 Finish Local Training--------| 2025-09-26 22:57:35 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 22:57:50 [INFO] Epoch 4 loss: 103.02038145065308; train accuracy: 0.7265625; test accuracy: 0.1002 2025-09-26 22:57:50 [INFO] Client 1 Finish Local Training--------| 2025-09-26 22:57:50 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 22:58:30 [INFO] Epoch 4 loss: 350.80402183532715; train accuracy: 0.46806640625; test accuracy: 0.2136 2025-09-26 22:58:30 [INFO] Client 2 Finish Local Training--------| 2025-09-26 22:58:30 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 22:59:21 [INFO] Epoch 4 loss: 430.72815561294556; train accuracy: 0.446171875; test accuracy: 0.2391 2025-09-26 22:59:21 [INFO] Client 3 Finish Local Training--------| 2025-09-26 22:59:21 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 22:59:59 [INFO] Epoch 4 loss: 316.46501445770264; train accuracy: 0.5865885416666666; test accuracy: 0.2385 2025-09-26 22:59:59 [INFO] Client 4 Finish Local Training--------| 2025-09-26 22:59:59 [INFO] Round 4 Finish--------| 2025-09-26 22:59:59 [INFO] Model variance: mean: 0.0010650880867615342, sum: 11901.2431640625 2025-09-26 22:59:59 [INFO] g_protos_std: 1.0061146020889282 2025-09-26 23:00:06 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.3965 2025-09-26 23:00:06 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:00:06 [INFO] Round 5 starts--------| 2025-09-26 23:00:06 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:00:50 [INFO] Epoch 5 loss: 398.6682138442993; train accuracy: 0.6112467447916666; test accuracy: 0.3133 2025-09-26 23:00:51 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_0/epoch_5.pth 2025-09-26 23:00:51 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:00:51 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:01:05 [INFO] Epoch 5 loss: 104.15991592407227; train accuracy: 0.7237079326923077; test accuracy: 0.1004 2025-09-26 23:01:06 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_1/epoch_5.pth 2025-09-26 23:01:06 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:01:06 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:01:44 [INFO] Epoch 5 loss: 342.2762408256531; train accuracy: 0.57705078125; test accuracy: 0.2453 2025-09-26 23:01:45 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_2/epoch_5.pth 2025-09-26 23:01:45 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:01:45 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:02:36 [INFO] Epoch 5 loss: 422.2859663963318; train accuracy: 0.3902734375; test accuracy: 0.2181 2025-09-26 23:02:36 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_3/epoch_5.pth 2025-09-26 23:02:36 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:02:36 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:03:15 [INFO] Epoch 5 loss: 308.27950716018677; train accuracy: 0.6714743589743589; test accuracy: 0.2707 2025-09-26 23:03:15 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_4/epoch_5.pth 2025-09-26 23:03:15 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:03:15 [INFO] Round 5 Finish--------| 2025-09-26 23:03:15 [INFO] Model variance: mean: 0.0011667362414300442, sum: 13037.0546875 2025-09-26 23:03:15 [INFO] g_protos_std: 1.0061376094818115 2025-09-26 23:03:22 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.4384 2025-09-26 23:03:22 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:03:22 [INFO] Round 6 starts--------| 2025-09-26 23:03:22 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:04:10 [INFO] Epoch 6 loss: 395.85365629196167; train accuracy: 0.5699055989583334; test accuracy: 0.2833 2025-09-26 23:04:10 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:04:10 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:04:26 [INFO] Epoch 6 loss: 103.56887626647949; train accuracy: 0.7234074519230769; test accuracy: 0.1 2025-09-26 23:04:26 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:04:26 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:05:06 [INFO] Epoch 6 loss: 334.3985986709595; train accuracy: 0.611767578125; test accuracy: 0.2614 2025-09-26 23:05:06 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:05:06 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:05:55 [INFO] Epoch 6 loss: 413.18056058883667; train accuracy: 0.4645703125; test accuracy: 0.2948 2025-09-26 23:05:55 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:05:55 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:06:33 [INFO] Epoch 6 loss: 304.6551275253296; train accuracy: 0.7372295673076923; test accuracy: 0.293 2025-09-26 23:06:33 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:06:33 [INFO] Round 6 Finish--------| 2025-09-26 23:06:33 [INFO] Model variance: mean: 0.0012617034371942282, sum: 14098.2138671875 2025-09-26 23:06:33 [INFO] g_protos_std: 1.0061588287353516 2025-09-26 23:06:41 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.4739 2025-09-26 23:06:41 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:06:41 [INFO] Round 7 starts--------| 2025-09-26 23:06:41 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:07:25 [INFO] Epoch 7 loss: 386.1779131889343; train accuracy: 0.4716389973958333; test accuracy: 0.2388 2025-09-26 23:07:25 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:07:25 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:07:39 [INFO] Epoch 7 loss: 102.4508318901062; train accuracy: 0.7240084134615384; test accuracy: 0.1001 2025-09-26 23:07:39 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:07:39 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:08:20 [INFO] Epoch 7 loss: 332.6746187210083; train accuracy: 0.51337890625; test accuracy: 0.217 2025-09-26 23:08:20 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:08:20 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:09:05 [INFO] Epoch 7 loss: 408.0662450790405; train accuracy: 0.553515625; test accuracy: 0.3251 2025-09-26 23:09:05 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:09:05 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:09:41 [INFO] Epoch 7 loss: 300.4264278411865; train accuracy: 0.713691907051282; test accuracy: 0.2865 2025-09-26 23:09:41 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:09:41 [INFO] Round 7 Finish--------| 2025-09-26 23:09:41 [INFO] Model variance: mean: 0.0013480555498972535, sum: 15063.107421875 2025-09-26 23:09:41 [INFO] g_protos_std: 1.006170630455017 2025-09-26 23:09:48 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.4937 2025-09-26 23:09:48 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:09:48 [INFO] Round 8 starts--------| 2025-09-26 23:09:48 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:10:34 [INFO] Epoch 8 loss: 380.7194199562073; train accuracy: 0.6736653645833334; test accuracy: 0.3384 2025-09-26 23:10:34 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:10:34 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:10:48 [INFO] Epoch 8 loss: 102.41336631774902; train accuracy: 0.7235576923076923; test accuracy: 0.1 2025-09-26 23:10:48 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:10:48 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:11:23 [INFO] Epoch 8 loss: 327.0473690032959; train accuracy: 0.610595703125; test accuracy: 0.2841 2025-09-26 23:11:23 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:11:23 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:12:08 [INFO] Epoch 8 loss: 399.4228677749634; train accuracy: 0.51078125; test accuracy: 0.3135 2025-09-26 23:12:08 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:12:08 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:12:43 [INFO] Epoch 8 loss: 294.1625599861145; train accuracy: 0.6832932692307693; test accuracy: 0.2744 2025-09-26 23:12:43 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:12:43 [INFO] Round 8 Finish--------| 2025-09-26 23:12:43 [INFO] Model variance: mean: 0.0014360870700329542, sum: 16046.767578125 2025-09-26 23:12:43 [INFO] g_protos_std: 1.0061920881271362 2025-09-26 23:12:50 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.5164 2025-09-26 23:12:50 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:12:50 [INFO] Round 9 starts--------| 2025-09-26 23:12:50 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:13:36 [INFO] Epoch 9 loss: 376.065673828125; train accuracy: 0.5972086588541666; test accuracy: 0.2944 2025-09-26 23:13:36 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:13:36 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:13:50 [INFO] Epoch 9 loss: 102.61973333358765; train accuracy: 0.7668269230769231; test accuracy: 0.1189 2025-09-26 23:13:50 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:13:50 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:14:29 [INFO] Epoch 9 loss: 327.2551484107971; train accuracy: 0.6673828125; test accuracy: 0.2945 2025-09-26 23:14:29 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:14:29 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:15:16 [INFO] Epoch 9 loss: 394.73894453048706; train accuracy: 0.6616796875; test accuracy: 0.4111 2025-09-26 23:15:16 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:15:16 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:15:53 [INFO] Epoch 9 loss: 293.9487614631653; train accuracy: 0.6994190705128205; test accuracy: 0.2819 2025-09-26 23:15:53 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:15:53 [INFO] Round 9 Finish--------| 2025-09-26 23:15:53 [INFO] Model variance: mean: 0.0015175961889326572, sum: 16957.546875 2025-09-26 23:15:53 [INFO] g_protos_std: 1.006206750869751 2025-09-26 23:16:00 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.5263 2025-09-26 23:16:00 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:16:00 [INFO] Round 10 starts--------| 2025-09-26 23:16:00 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:16:44 [INFO] Epoch 10 loss: 360.8904776573181; train accuracy: 0.6164143880208334; test accuracy: 0.3043 2025-09-26 23:16:45 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_0/epoch_10.pth 2025-09-26 23:16:45 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:16:45 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:16:59 [INFO] Epoch 10 loss: 102.84188556671143; train accuracy: 0.7496995192307693; test accuracy: 0.1113 2025-09-26 23:17:00 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_1/epoch_10.pth 2025-09-26 23:17:00 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:17:00 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:17:39 [INFO] Epoch 10 loss: 319.59186840057373; train accuracy: 0.551318359375; test accuracy: 0.277 2025-09-26 23:17:39 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_2/epoch_10.pth 2025-09-26 23:17:39 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:17:39 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:18:27 [INFO] Epoch 10 loss: 386.8894519805908; train accuracy: 0.5678125; test accuracy: 0.3347 2025-09-26 23:18:28 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_3/epoch_10.pth 2025-09-26 23:18:28 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:18:28 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:19:05 [INFO] Epoch 10 loss: 291.1589365005493; train accuracy: 0.6507912660256411; test accuracy: 0.2602 2025-09-26 23:19:05 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_4/epoch_10.pth 2025-09-26 23:19:05 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:19:05 [INFO] Round 10 Finish--------| 2025-09-26 23:19:05 [INFO] Model variance: mean: 0.0015986566431820393, sum: 17863.3125 2025-09-26 23:19:05 [INFO] g_protos_std: 1.0062278509140015 2025-09-26 23:19:12 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.5559 2025-09-26 23:19:12 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:19:12 [INFO] Round 11 starts--------| 2025-09-26 23:19:12 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:19:57 [INFO] Epoch 11 loss: 364.5977864265442; train accuracy: 0.6931559244791666; test accuracy: 0.3433 2025-09-26 23:19:57 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:19:57 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:20:10 [INFO] Epoch 11 loss: 103.02751064300537; train accuracy: 0.724609375; test accuracy: 0.1 2025-09-26 23:20:10 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:20:10 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:20:48 [INFO] Epoch 11 loss: 321.5106234550476; train accuracy: 0.6798828125; test accuracy: 0.3047 2025-09-26 23:20:48 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:20:48 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:21:34 [INFO] Epoch 11 loss: 379.8737082481384; train accuracy: 0.503359375; test accuracy: 0.3084 2025-09-26 23:21:34 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:21:34 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:22:08 [INFO] Epoch 11 loss: 283.79373121261597; train accuracy: 0.7328225160256411; test accuracy: 0.2929 2025-09-26 23:22:08 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:22:08 [INFO] Round 11 Finish--------| 2025-09-26 23:22:08 [INFO] Model variance: mean: 0.0016753759700804949, sum: 18720.5703125 2025-09-26 23:22:08 [INFO] g_protos_std: 1.0062355995178223 2025-09-26 23:22:15 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.5684 2025-09-26 23:22:15 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:22:15 [INFO] Round 12 starts--------| 2025-09-26 23:22:15 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:22:59 [INFO] Epoch 12 loss: 362.71428632736206; train accuracy: 0.7639973958333334; test accuracy: 0.3788 2025-09-26 23:22:59 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:22:59 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:23:13 [INFO] Epoch 12 loss: 102.11094522476196; train accuracy: 0.7770432692307693; test accuracy: 0.1243 2025-09-26 23:23:13 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:23:13 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:23:52 [INFO] Epoch 12 loss: 316.8659887313843; train accuracy: 0.68525390625; test accuracy: 0.3295 2025-09-26 23:23:52 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:23:52 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:24:37 [INFO] Epoch 12 loss: 377.7413787841797; train accuracy: 0.6504296875; test accuracy: 0.4051 2025-09-26 23:24:37 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:24:37 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:25:16 [INFO] Epoch 12 loss: 282.9563512802124; train accuracy: 0.7441907051282052; test accuracy: 0.2985 2025-09-26 23:25:16 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:25:16 [INFO] Round 12 Finish--------| 2025-09-26 23:25:16 [INFO] Model variance: mean: 0.0017496765358373523, sum: 19550.80078125 2025-09-26 23:25:16 [INFO] g_protos_std: 1.0062495470046997 2025-09-26 23:25:23 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.567 2025-09-26 23:25:23 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:25:23 [INFO] Round 13 starts--------| 2025-09-26 23:25:23 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:26:06 [INFO] Epoch 13 loss: 350.2803030014038; train accuracy: 0.7508544921875; test accuracy: 0.37 2025-09-26 23:26:06 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:26:06 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:26:18 [INFO] Epoch 13 loss: 101.23461198806763; train accuracy: 0.7483473557692307; test accuracy: 0.1064 2025-09-26 23:26:18 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:26:18 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:26:55 [INFO] Epoch 13 loss: 310.8158802986145; train accuracy: 0.4994140625; test accuracy: 0.2194 2025-09-26 23:26:55 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:26:55 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:27:42 [INFO] Epoch 13 loss: 372.49952268600464; train accuracy: 0.6948046875; test accuracy: 0.4174 2025-09-26 23:27:42 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:27:42 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:28:17 [INFO] Epoch 13 loss: 282.7802495956421; train accuracy: 0.7077824519230769; test accuracy: 0.2818 2025-09-26 23:28:17 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:28:17 [INFO] Round 13 Finish--------| 2025-09-26 23:28:17 [INFO] Model variance: mean: 0.001821739599108696, sum: 20356.03125 2025-09-26 23:28:17 [INFO] g_protos_std: 1.0062663555145264 2025-09-26 23:28:24 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.5934 2025-09-26 23:28:24 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:28:24 [INFO] Round 14 starts--------| 2025-09-26 23:28:24 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:29:11 [INFO] Epoch 14 loss: 347.759211063385; train accuracy: 0.7711181640625; test accuracy: 0.3821 2025-09-26 23:29:11 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:29:11 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:29:24 [INFO] Epoch 14 loss: 102.57467555999756; train accuracy: 0.7439903846153846; test accuracy: 0.1064 2025-09-26 23:29:24 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:29:24 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:30:02 [INFO] Epoch 14 loss: 312.48610162734985; train accuracy: 0.72509765625; test accuracy: 0.3215 2025-09-26 23:30:02 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:30:02 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:30:48 [INFO] Epoch 14 loss: 366.88886070251465; train accuracy: 0.693203125; test accuracy: 0.425 2025-09-26 23:30:48 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:30:48 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:31:24 [INFO] Epoch 14 loss: 284.71329402923584; train accuracy: 0.8183092948717948; test accuracy: 0.3254 2025-09-26 23:31:24 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:31:24 [INFO] Round 14 Finish--------| 2025-09-26 23:31:24 [INFO] Model variance: mean: 0.0018901291768997908, sum: 21120.212890625 2025-09-26 23:31:24 [INFO] g_protos_std: 1.006281852722168 2025-09-26 23:31:31 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6042 2025-09-26 23:31:31 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:31:31 [INFO] Round 15 starts--------| 2025-09-26 23:31:31 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:32:14 [INFO] Epoch 15 loss: 349.3416337966919; train accuracy: 0.8050130208333334; test accuracy: 0.4 2025-09-26 23:32:15 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_0/epoch_15.pth 2025-09-26 23:32:15 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:32:15 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:32:28 [INFO] Epoch 15 loss: 102.14663600921631; train accuracy: 0.6600060096153846; test accuracy: 0.1243 2025-09-26 23:32:29 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_1/epoch_15.pth 2025-09-26 23:32:29 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:32:29 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:33:06 [INFO] Epoch 15 loss: 305.95900297164917; train accuracy: 0.615625; test accuracy: 0.2758 2025-09-26 23:33:07 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_2/epoch_15.pth 2025-09-26 23:33:07 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:33:07 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:33:52 [INFO] Epoch 15 loss: 361.2976541519165; train accuracy: 0.682421875; test accuracy: 0.4327 2025-09-26 23:33:53 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_3/epoch_15.pth 2025-09-26 23:33:53 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:33:53 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:34:29 [INFO] Epoch 15 loss: 278.1183166503906; train accuracy: 0.739082532051282; test accuracy: 0.295 2025-09-26 23:34:29 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_4/epoch_15.pth 2025-09-26 23:34:29 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:34:29 [INFO] Round 15 Finish--------| 2025-09-26 23:34:29 [INFO] Model variance: mean: 0.0019590796437114477, sum: 21890.662109375 2025-09-26 23:34:29 [INFO] g_protos_std: 1.0062971115112305 2025-09-26 23:34:37 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6058 2025-09-26 23:34:37 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:34:37 [INFO] Round 16 starts--------| 2025-09-26 23:34:37 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:35:20 [INFO] Epoch 16 loss: 350.932412147522; train accuracy: 0.7195231119791666; test accuracy: 0.3581 2025-09-26 23:35:20 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:35:20 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:35:34 [INFO] Epoch 16 loss: 101.46606683731079; train accuracy: 0.7255108173076923; test accuracy: 0.1003 2025-09-26 23:35:34 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:35:34 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:36:08 [INFO] Epoch 16 loss: 298.58039236068726; train accuracy: 0.6958984375; test accuracy: 0.3538 2025-09-26 23:36:08 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:36:08 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:36:56 [INFO] Epoch 16 loss: 366.4438147544861; train accuracy: 0.7798046875; test accuracy: 0.4497 2025-09-26 23:36:56 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:36:56 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:37:34 [INFO] Epoch 16 loss: 278.27699756622314; train accuracy: 0.8190604967948718; test accuracy: 0.3238 2025-09-26 23:37:34 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:37:34 [INFO] Round 16 Finish--------| 2025-09-26 23:37:34 [INFO] Model variance: mean: 0.0020227180793881416, sum: 22601.75390625 2025-09-26 23:37:34 [INFO] g_protos_std: 1.0063035488128662 2025-09-26 23:37:41 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6283 2025-09-26 23:37:41 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:37:41 [INFO] Round 17 starts--------| 2025-09-26 23:37:41 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:38:25 [INFO] Epoch 17 loss: 344.8009924888611; train accuracy: 0.7523193359375; test accuracy: 0.3676 2025-09-26 23:38:25 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:38:25 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:38:40 [INFO] Epoch 17 loss: 102.04277610778809; train accuracy: 0.5718149038461539; test accuracy: 0.1331 2025-09-26 23:38:40 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:38:40 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:39:16 [INFO] Epoch 17 loss: 305.03788805007935; train accuracy: 0.723779296875; test accuracy: 0.3338 2025-09-26 23:39:16 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:39:16 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:40:04 [INFO] Epoch 17 loss: 359.63919734954834; train accuracy: 0.753828125; test accuracy: 0.456 2025-09-26 23:40:04 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:40:04 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:40:39 [INFO] Epoch 17 loss: 278.50416707992554; train accuracy: 0.7463441506410257; test accuracy: 0.2979 2025-09-26 23:40:39 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:40:39 [INFO] Round 17 Finish--------| 2025-09-26 23:40:39 [INFO] Model variance: mean: 0.0020863355603069067, sum: 23312.61328125 2025-09-26 23:40:39 [INFO] g_protos_std: 1.0063114166259766 2025-09-26 23:40:45 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6181 2025-09-26 23:40:45 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:40:45 [INFO] Round 18 starts--------| 2025-09-26 23:40:46 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:41:28 [INFO] Epoch 18 loss: 339.50218057632446; train accuracy: 0.809814453125; test accuracy: 0.4004 2025-09-26 23:41:28 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:41:28 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:41:41 [INFO] Epoch 18 loss: 100.51958751678467; train accuracy: 0.7771935096153846; test accuracy: 0.1207 2025-09-26 23:41:41 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:41:41 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:42:17 [INFO] Epoch 18 loss: 305.49872875213623; train accuracy: 0.635302734375; test accuracy: 0.2741 2025-09-26 23:42:17 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:42:17 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:43:05 [INFO] Epoch 18 loss: 355.35771322250366; train accuracy: 0.7740234375; test accuracy: 0.4956 2025-09-26 23:43:05 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:43:05 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:43:43 [INFO] Epoch 18 loss: 278.902081489563; train accuracy: 0.8130508814102564; test accuracy: 0.3255 2025-09-26 23:43:43 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:43:43 [INFO] Round 18 Finish--------| 2025-09-26 23:43:43 [INFO] Model variance: mean: 0.0021486193872988224, sum: 24008.568359375 2025-09-26 23:43:43 [INFO] g_protos_std: 1.0063248872756958 2025-09-26 23:43:49 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6388 2025-09-26 23:43:49 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:43:49 [INFO] Round 19 starts--------| 2025-09-26 23:43:49 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:44:33 [INFO] Epoch 19 loss: 341.0269522666931; train accuracy: 0.7588704427083334; test accuracy: 0.3786 2025-09-26 23:44:33 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:44:33 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:44:48 [INFO] Epoch 19 loss: 100.68493032455444; train accuracy: 0.7417367788461539; test accuracy: 0.1058 2025-09-26 23:44:48 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:44:48 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:45:26 [INFO] Epoch 19 loss: 300.007586479187; train accuracy: 0.691162109375; test accuracy: 0.3371 2025-09-26 23:45:26 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:45:26 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:46:13 [INFO] Epoch 19 loss: 355.76006746292114; train accuracy: 0.792265625; test accuracy: 0.4762 2025-09-26 23:46:13 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:46:13 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:46:49 [INFO] Epoch 19 loss: 274.29579877853394; train accuracy: 0.798026842948718; test accuracy: 0.317 2025-09-26 23:46:49 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:46:49 [INFO] Round 19 Finish--------| 2025-09-26 23:46:49 [INFO] Model variance: mean: 0.00220958748832345, sum: 24689.82421875 2025-09-26 23:46:49 [INFO] g_protos_std: 1.0063363313674927 2025-09-26 23:46:56 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6457 2025-09-26 23:46:56 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:46:56 [INFO] Round 20 starts--------| 2025-09-26 23:46:56 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:47:41 [INFO] Epoch 20 loss: 336.791184425354; train accuracy: 0.8106282552083334; test accuracy: 0.4003 2025-09-26 23:47:42 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_0/epoch_20.pth 2025-09-26 23:47:42 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:47:42 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:47:56 [INFO] Epoch 20 loss: 101.10878229141235; train accuracy: 0.8108473557692307; test accuracy: 0.139 2025-09-26 23:47:56 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_1/epoch_20.pth 2025-09-26 23:47:56 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:47:56 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:48:33 [INFO] Epoch 20 loss: 299.18251037597656; train accuracy: 0.690869140625; test accuracy: 0.3316 2025-09-26 23:48:33 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_2/epoch_20.pth 2025-09-26 23:48:33 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:48:33 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:49:23 [INFO] Epoch 20 loss: 356.49224185943604; train accuracy: 0.731875; test accuracy: 0.4593 2025-09-26 23:49:24 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_3/epoch_20.pth 2025-09-26 23:49:24 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:49:24 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:50:03 [INFO] Epoch 20 loss: 268.1347165107727; train accuracy: 0.8626802884615384; test accuracy: 0.3423 2025-09-26 23:50:04 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_4/epoch_20.pth 2025-09-26 23:50:04 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:50:04 [INFO] Round 20 Finish--------| 2025-09-26 23:50:04 [INFO] Model variance: mean: 0.0022688156459480524, sum: 25351.63671875 2025-09-26 23:50:04 [INFO] g_protos_std: 1.0063438415527344 2025-09-26 23:50:11 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6562 2025-09-26 23:50:11 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:50:11 [INFO] Round 21 starts--------| 2025-09-26 23:50:11 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:50:56 [INFO] Epoch 21 loss: 337.74792861938477; train accuracy: 0.7642822265625; test accuracy: 0.3728 2025-09-26 23:50:56 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:50:56 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:51:10 [INFO] Epoch 21 loss: 100.71636152267456; train accuracy: 0.7306189903846154; test accuracy: 0.1024 2025-09-26 23:51:10 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:51:10 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:51:48 [INFO] Epoch 21 loss: 294.4246759414673; train accuracy: 0.7625; test accuracy: 0.3756 2025-09-26 23:51:48 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:51:48 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:52:36 [INFO] Epoch 21 loss: 354.00896406173706; train accuracy: 0.7244921875; test accuracy: 0.4187 2025-09-26 23:52:36 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:52:36 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:53:13 [INFO] Epoch 21 loss: 277.8832778930664; train accuracy: 0.7707832532051282; test accuracy: 0.3079 2025-09-26 23:53:13 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:53:13 [INFO] Round 21 Finish--------| 2025-09-26 23:53:13 [INFO] Model variance: mean: 0.002326388144865632, sum: 25994.94921875 2025-09-26 23:53:13 [INFO] g_protos_std: 1.0063507556915283 2025-09-26 23:53:20 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6513 2025-09-26 23:53:20 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:53:20 [INFO] Round 22 starts--------| 2025-09-26 23:53:20 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:54:04 [INFO] Epoch 22 loss: 330.9585256576538; train accuracy: 0.846435546875; test accuracy: 0.4181 2025-09-26 23:54:04 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:54:04 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:54:18 [INFO] Epoch 22 loss: 100.17442417144775; train accuracy: 0.7699819711538461; test accuracy: 0.1184 2025-09-26 23:54:18 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:54:18 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:54:58 [INFO] Epoch 22 loss: 291.7213559150696; train accuracy: 0.702880859375; test accuracy: 0.3482 2025-09-26 23:54:58 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:54:58 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:55:44 [INFO] Epoch 22 loss: 353.8909659385681; train accuracy: 0.786171875; test accuracy: 0.5088 2025-09-26 23:55:45 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:55:45 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:56:21 [INFO] Epoch 22 loss: 270.55352115631104; train accuracy: 0.8480068108974359; test accuracy: 0.3372 2025-09-26 23:56:21 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:56:21 [INFO] Round 22 Finish--------| 2025-09-26 23:56:21 [INFO] Model variance: mean: 0.0023842044174671173, sum: 26640.986328125 2025-09-26 23:56:21 [INFO] g_protos_std: 1.0063631534576416 2025-09-26 23:56:28 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6727 2025-09-26 23:56:28 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:56:28 [INFO] Round 23 starts--------| 2025-09-26 23:56:28 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:57:11 [INFO] Epoch 23 loss: 329.016273021698; train accuracy: 0.8477376302083334; test accuracy: 0.4206 2025-09-26 23:57:11 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:57:11 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:57:24 [INFO] Epoch 23 loss: 100.1462607383728; train accuracy: 0.7564603365384616; test accuracy: 0.1115 2025-09-26 23:57:24 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:57:24 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:58:02 [INFO] Epoch 23 loss: 294.47523307800293; train accuracy: 0.5138671875; test accuracy: 0.2409 2025-09-26 23:58:03 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:58:03 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:58:49 [INFO] Epoch 23 loss: 350.8725275993347; train accuracy: 0.744453125; test accuracy: 0.4769 2025-09-26 23:58:49 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:58:49 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:59:27 [INFO] Epoch 23 loss: 274.3041820526123; train accuracy: 0.8663361378205128; test accuracy: 0.3409 2025-09-26 23:59:27 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:59:27 [INFO] Round 23 Finish--------| 2025-09-26 23:59:27 [INFO] Model variance: mean: 0.0024402455892413855, sum: 27267.1875 2025-09-26 23:59:27 [INFO] g_protos_std: 1.0063660144805908 2025-09-26 23:59:35 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6661 2025-09-26 23:59:35 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:59:35 [INFO] Round 24 starts--------| 2025-09-26 23:59:35 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:00:23 [INFO] Epoch 24 loss: 333.9046664237976; train accuracy: 0.86572265625; test accuracy: 0.4251 2025-09-27 00:00:23 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:00:23 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:00:35 [INFO] Epoch 24 loss: 99.7583703994751; train accuracy: 0.7336237980769231; test accuracy: 0.1032 2025-09-27 00:00:35 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:00:35 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:01:13 [INFO] Epoch 24 loss: 293.9123315811157; train accuracy: 0.508935546875; test accuracy: 0.2439 2025-09-27 00:01:13 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:01:13 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:01:59 [INFO] Epoch 24 loss: 347.83247804641724; train accuracy: 0.777734375; test accuracy: 0.4904 2025-09-27 00:01:59 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:01:59 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:02:36 [INFO] Epoch 24 loss: 267.63335847854614; train accuracy: 0.8221153846153846; test accuracy: 0.3274 2025-09-27 00:02:36 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:02:36 [INFO] Round 24 Finish--------| 2025-09-27 00:02:36 [INFO] Model variance: mean: 0.0024954606778919697, sum: 27884.15625 2025-09-27 00:02:36 [INFO] g_protos_std: 1.0063775777816772 2025-09-27 00:02:42 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6703 2025-09-27 00:02:42 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:02:42 [INFO] Round 25 starts--------| 2025-09-27 00:02:42 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:03:28 [INFO] Epoch 25 loss: 325.3726987838745; train accuracy: 0.8662516276041666; test accuracy: 0.4249 2025-09-27 00:03:29 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_0/epoch_25.pth 2025-09-27 00:03:29 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:03:29 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:03:42 [INFO] Epoch 25 loss: 99.18171405792236; train accuracy: 0.8079927884615384; test accuracy: 0.1304 2025-09-27 00:03:43 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_1/epoch_25.pth 2025-09-27 00:03:43 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:03:43 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:04:19 [INFO] Epoch 25 loss: 287.5341114997864; train accuracy: 0.764990234375; test accuracy: 0.4092 2025-09-27 00:04:20 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_2/epoch_25.pth 2025-09-27 00:04:20 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:04:20 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:05:07 [INFO] Epoch 25 loss: 343.00269508361816; train accuracy: 0.79703125; test accuracy: 0.5153 2025-09-27 00:05:07 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_3/epoch_25.pth 2025-09-27 00:05:07 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:05:07 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:05:43 [INFO] Epoch 25 loss: 268.9357075691223; train accuracy: 0.8354867788461539; test accuracy: 0.331 2025-09-27 00:05:43 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_4/epoch_25.pth 2025-09-27 00:05:43 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:05:43 [INFO] Round 25 Finish--------| 2025-09-27 00:05:43 [INFO] Model variance: mean: 0.002550001023337245, sum: 28493.587890625 2025-09-27 00:05:43 [INFO] g_protos_std: 1.0063867568969727 2025-09-27 00:05:50 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6698 2025-09-27 00:05:50 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:05:50 [INFO] Round 26 starts--------| 2025-09-27 00:05:50 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:06:37 [INFO] Epoch 26 loss: 327.76173543930054; train accuracy: 0.78955078125; test accuracy: 0.3856 2025-09-27 00:06:37 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:06:37 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:06:52 [INFO] Epoch 26 loss: 101.39407968521118; train accuracy: 0.7669771634615384; test accuracy: 0.1264 2025-09-27 00:06:52 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:06:52 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:07:29 [INFO] Epoch 26 loss: 285.97984743118286; train accuracy: 0.81865234375; test accuracy: 0.4195 2025-09-27 00:07:29 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:07:29 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:08:15 [INFO] Epoch 26 loss: 350.5573048591614; train accuracy: 0.7990625; test accuracy: 0.5102 2025-09-27 00:08:15 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:08:15 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:08:50 [INFO] Epoch 26 loss: 267.4725670814514; train accuracy: 0.840995592948718; test accuracy: 0.3334 2025-09-27 00:08:50 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:08:50 [INFO] Round 26 Finish--------| 2025-09-27 00:08:50 [INFO] Model variance: mean: 0.002602918539196253, sum: 29084.88671875 2025-09-27 00:08:50 [INFO] g_protos_std: 1.0063891410827637 2025-09-27 00:08:57 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6828 2025-09-27 00:08:57 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:08:57 [INFO] Round 27 starts--------| 2025-09-27 00:08:57 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:09:40 [INFO] Epoch 27 loss: 325.0532155036926; train accuracy: 0.844482421875; test accuracy: 0.4136 2025-09-27 00:09:40 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:09:40 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:09:55 [INFO] Epoch 27 loss: 100.16642761230469; train accuracy: 0.8170072115384616; test accuracy: 0.1465 2025-09-27 00:09:55 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:09:55 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:10:32 [INFO] Epoch 27 loss: 287.6843695640564; train accuracy: 0.7833984375; test accuracy: 0.4184 2025-09-27 00:10:32 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:10:32 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:11:19 [INFO] Epoch 27 loss: 341.916042804718; train accuracy: 0.860234375; test accuracy: 0.5391 2025-09-27 00:11:19 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:11:19 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:11:55 [INFO] Epoch 27 loss: 262.0993185043335; train accuracy: 0.8293770032051282; test accuracy: 0.3278 2025-09-27 00:11:55 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:11:55 [INFO] Round 27 Finish--------| 2025-09-27 00:11:55 [INFO] Model variance: mean: 0.002656059805303812, sum: 29678.68359375 2025-09-27 00:11:55 [INFO] g_protos_std: 1.0063987970352173 2025-09-27 00:12:02 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.691 2025-09-27 00:12:02 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:12:02 [INFO] Round 28 starts--------| 2025-09-27 00:12:02 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:12:45 [INFO] Epoch 28 loss: 327.74375438690186; train accuracy: 0.8308919270833334; test accuracy: 0.4116 2025-09-27 00:12:45 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:12:45 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:12:58 [INFO] Epoch 28 loss: 100.62816953659058; train accuracy: 0.51171875; test accuracy: 0.127 2025-09-27 00:12:58 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:12:58 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:13:36 [INFO] Epoch 28 loss: 288.7624673843384; train accuracy: 0.623583984375; test accuracy: 0.3611 2025-09-27 00:13:36 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:13:36 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:14:20 [INFO] Epoch 28 loss: 339.20949363708496; train accuracy: 0.8020703125; test accuracy: 0.512 2025-09-27 00:14:20 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:14:20 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:14:58 [INFO] Epoch 28 loss: 264.4120683670044; train accuracy: 0.7640224358974359; test accuracy: 0.3032 2025-09-27 00:14:58 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:14:58 [INFO] Round 28 Finish--------| 2025-09-27 00:14:58 [INFO] Model variance: mean: 0.0027075225953012705, sum: 30253.7265625 2025-09-27 00:14:58 [INFO] g_protos_std: 1.0064018964767456 2025-09-27 00:15:05 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.7116 2025-09-27 00:15:05 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:15:05 [INFO] Round 29 starts--------| 2025-09-27 00:15:05 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:15:51 [INFO] Epoch 29 loss: 325.09055757522583; train accuracy: 0.8861897786458334; test accuracy: 0.4327 2025-09-27 00:15:51 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:15:51 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:16:05 [INFO] Epoch 29 loss: 99.61836957931519; train accuracy: 0.7563100961538461; test accuracy: 0.1118 2025-09-27 00:16:05 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:16:05 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:16:42 [INFO] Epoch 29 loss: 285.56444454193115; train accuracy: 0.771484375; test accuracy: 0.4355 2025-09-27 00:16:42 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:16:42 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:17:26 [INFO] Epoch 29 loss: 339.33680391311646; train accuracy: 0.82578125; test accuracy: 0.5348 2025-09-27 00:17:26 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:17:26 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:18:04 [INFO] Epoch 29 loss: 261.09260654449463; train accuracy: 0.8873197115384616; test accuracy: 0.3482 2025-09-27 00:18:04 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:18:04 [INFO] Round 29 Finish--------| 2025-09-27 00:18:04 [INFO] Model variance: mean: 0.0027575779240578413, sum: 30813.04296875 2025-09-27 00:18:04 [INFO] g_protos_std: 1.0064072608947754 2025-09-27 00:18:11 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6931 2025-09-27 00:18:11 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:18:11 [INFO] Round 30 starts--------| 2025-09-27 00:18:11 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:18:56 [INFO] Epoch 30 loss: 316.7247323989868; train accuracy: 0.7461751302083334; test accuracy: 0.3675 2025-09-27 00:18:56 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_0/epoch_30.pth 2025-09-27 00:18:56 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:18:56 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:19:11 [INFO] Epoch 30 loss: 97.85871171951294; train accuracy: 0.8366887019230769; test accuracy: 0.1604 2025-09-27 00:19:11 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_1/epoch_30.pth 2025-09-27 00:19:11 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:19:11 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:19:49 [INFO] Epoch 30 loss: 286.2931113243103; train accuracy: 0.76484375; test accuracy: 0.4299 2025-09-27 00:19:49 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_2/epoch_30.pth 2025-09-27 00:19:49 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:19:49 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:20:35 [INFO] Epoch 30 loss: 333.80486249923706; train accuracy: 0.7677734375; test accuracy: 0.4937 2025-09-27 00:20:35 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_3/epoch_30.pth 2025-09-27 00:20:35 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:20:35 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:21:11 [INFO] Epoch 30 loss: 264.4483075141907; train accuracy: 0.7933693910256411; test accuracy: 0.3152 2025-09-27 00:21:12 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_4/epoch_30.pth 2025-09-27 00:21:12 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:21:12 [INFO] Round 30 Finish--------| 2025-09-27 00:21:12 [INFO] Model variance: mean: 0.0028092858847230673, sum: 31390.82421875 2025-09-27 00:21:12 [INFO] g_protos_std: 1.0064200162887573 2025-09-27 00:21:19 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.7181 2025-09-27 00:21:19 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:21:19 [INFO] Round 31 starts--------| 2025-09-27 00:21:19 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:22:02 [INFO] Epoch 31 loss: 315.59956550598145; train accuracy: 0.8729654947916666; test accuracy: 0.4335 2025-09-27 00:22:02 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:22:02 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:22:15 [INFO] Epoch 31 loss: 99.49052333831787; train accuracy: 0.7666766826923077; test accuracy: 0.1551 2025-09-27 00:22:15 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:22:15 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:22:53 [INFO] Epoch 31 loss: 286.424617767334; train accuracy: 0.749951171875; test accuracy: 0.3769 2025-09-27 00:22:53 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:22:53 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:23:39 [INFO] Epoch 31 loss: 340.91347074508667; train accuracy: 0.841328125; test accuracy: 0.5268 2025-09-27 00:23:39 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:23:39 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:24:16 [INFO] Epoch 31 loss: 261.20331144332886; train accuracy: 0.9033954326923077; test accuracy: 0.3545 2025-09-27 00:24:16 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:24:16 [INFO] Round 31 Finish--------| 2025-09-27 00:24:16 [INFO] Model variance: mean: 0.002857588930055499, sum: 31930.5625 2025-09-27 00:24:16 [INFO] g_protos_std: 1.006418228149414 2025-09-27 00:24:22 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.7056 2025-09-27 00:24:22 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:24:22 [INFO] Round 32 starts--------| 2025-09-27 00:24:22 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:25:08 [INFO] Epoch 32 loss: 322.7614245414734; train accuracy: 0.8840738932291666; test accuracy: 0.4315 2025-09-27 00:25:08 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:25:08 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:25:22 [INFO] Epoch 32 loss: 99.07530784606934; train accuracy: 0.7964242788461539; test accuracy: 0.1303 2025-09-27 00:25:22 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:25:22 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:25:58 [INFO] Epoch 32 loss: 283.42610120773315; train accuracy: 0.826220703125; test accuracy: 0.4352 2025-09-27 00:25:58 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:25:58 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:26:42 [INFO] Epoch 32 loss: 343.1207537651062; train accuracy: 0.751640625; test accuracy: 0.5126 2025-09-27 00:26:42 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:26:42 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:27:19 [INFO] Epoch 32 loss: 263.66682481765747; train accuracy: 0.7728866185897436; test accuracy: 0.3052 2025-09-27 00:27:19 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:27:19 [INFO] Round 32 Finish--------| 2025-09-27 00:27:19 [INFO] Model variance: mean: 0.0029053690377622843, sum: 32464.453125 2025-09-27 00:27:19 [INFO] g_protos_std: 1.0064184665679932 2025-09-27 00:27:26 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.7066 2025-09-27 00:27:26 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:27:26 [INFO] Round 33 starts--------| 2025-09-27 00:27:26 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:28:09 [INFO] Epoch 33 loss: 318.48158502578735; train accuracy: 0.8819986979166666; test accuracy: 0.4321 2025-09-27 00:28:09 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:28:10 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:28:22 [INFO] Epoch 33 loss: 98.86690330505371; train accuracy: 0.7798978365384616; test accuracy: 0.1176 2025-09-27 00:28:22 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:28:22 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:29:01 [INFO] Epoch 33 loss: 285.06003427505493; train accuracy: 0.750927734375; test accuracy: 0.4204 2025-09-27 00:29:01 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:29:01 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:29:46 [INFO] Epoch 33 loss: 334.30497121810913; train accuracy: 0.82875; test accuracy: 0.5037 2025-09-27 00:29:46 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:29:46 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:30:23 [INFO] Epoch 33 loss: 260.5934886932373; train accuracy: 0.8187600160256411; test accuracy: 0.323 2025-09-27 00:30:23 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:30:23 [INFO] Round 33 Finish--------| 2025-09-27 00:30:23 [INFO] Model variance: mean: 0.00295446440577507, sum: 33013.04296875 2025-09-27 00:30:23 [INFO] g_protos_std: 1.006428599357605 2025-09-27 00:30:30 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.7114 2025-09-27 00:30:30 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:30:30 [INFO] Round 34 starts--------| 2025-09-27 00:30:30 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:31:14 [INFO] Epoch 34 loss: 317.281729221344; train accuracy: 0.8153889973958334; test accuracy: 0.3994 2025-09-27 00:31:14 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:31:14 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:31:28 [INFO] Epoch 34 loss: 98.85785865783691; train accuracy: 0.7620192307692307; test accuracy: 0.1599 2025-09-27 00:31:28 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:31:28 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:32:05 [INFO] Epoch 34 loss: 283.53899002075195; train accuracy: 0.791064453125; test accuracy: 0.4404 2025-09-27 00:32:05 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:32:05 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:32:49 [INFO] Epoch 34 loss: 334.17393922805786; train accuracy: 0.835390625; test accuracy: 0.526 2025-09-27 00:32:49 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:32:49 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:33:26 [INFO] Epoch 34 loss: 261.5019130706787; train accuracy: 0.8252203525641025; test accuracy: 0.3248 2025-09-27 00:33:26 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:33:26 [INFO] Round 34 Finish--------| 2025-09-27 00:33:26 [INFO] Model variance: mean: 0.0030020372942090034, sum: 33544.62109375 2025-09-27 00:33:26 [INFO] g_protos_std: 1.0064345598220825 2025-09-27 00:33:33 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.722 2025-09-27 00:33:33 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:33:33 [INFO] Round 35 starts--------| 2025-09-27 00:33:33 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:34:16 [INFO] Epoch 35 loss: 319.0054440498352; train accuracy: 0.8639729817708334; test accuracy: 0.4217 2025-09-27 00:34:17 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_0/epoch_35.pth 2025-09-27 00:34:17 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:34:17 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:34:31 [INFO] Epoch 35 loss: 98.33423519134521; train accuracy: 0.7581129807692307; test accuracy: 0.1531 2025-09-27 00:34:32 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_1/epoch_35.pth 2025-09-27 00:34:32 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:34:32 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:35:10 [INFO] Epoch 35 loss: 278.8110899925232; train accuracy: 0.623779296875; test accuracy: 0.3592 2025-09-27 00:35:11 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_2/epoch_35.pth 2025-09-27 00:35:11 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:35:11 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:35:57 [INFO] Epoch 35 loss: 336.1500816345215; train accuracy: 0.8287890625; test accuracy: 0.5286 2025-09-27 00:35:57 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_3/epoch_35.pth 2025-09-27 00:35:57 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:35:57 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:36:32 [INFO] Epoch 35 loss: 258.3694772720337; train accuracy: 0.8603265224358975; test accuracy: 0.334 2025-09-27 00:36:33 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_4/epoch_35.pth 2025-09-27 00:36:33 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:36:33 [INFO] Round 35 Finish--------| 2025-09-27 00:36:33 [INFO] Model variance: mean: 0.0030476676765829325, sum: 34054.4921875 2025-09-27 00:36:33 [INFO] g_protos_std: 1.0064330101013184 2025-09-27 00:36:39 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.7191 2025-09-27 00:36:39 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:36:39 [INFO] Round 36 starts--------| 2025-09-27 00:36:39 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:37:24 [INFO] Epoch 36 loss: 318.070011138916; train accuracy: 0.90673828125; test accuracy: 0.4453 2025-09-27 00:37:24 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:37:24 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:37:39 [INFO] Epoch 36 loss: 97.23762035369873; train accuracy: 0.7952223557692307; test accuracy: 0.1609 2025-09-27 00:37:39 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:37:39 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:38:15 [INFO] Epoch 36 loss: 279.48451805114746; train accuracy: 0.794189453125; test accuracy: 0.4179 2025-09-27 00:38:15 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:38:15 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:38:59 [INFO] Epoch 36 loss: 330.1741724014282; train accuracy: 0.7648828125; test accuracy: 0.484 2025-09-27 00:38:59 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:38:59 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:39:36 [INFO] Epoch 36 loss: 259.3988928794861; train accuracy: 0.8748998397435898; test accuracy: 0.3441 2025-09-27 00:39:36 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:39:36 [INFO] Round 36 Finish--------| 2025-09-27 00:39:36 [INFO] Model variance: mean: 0.0030948854982852936, sum: 34582.1015625 2025-09-27 00:39:36 [INFO] g_protos_std: 1.0064421892166138 2025-09-27 00:39:43 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.7222 2025-09-27 00:39:43 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:39:43 [INFO] Round 37 starts--------| 2025-09-27 00:39:43 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:40:29 [INFO] Epoch 37 loss: 319.3647794723511; train accuracy: 0.8659261067708334; test accuracy: 0.4192 2025-09-27 00:40:29 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:40:29 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:40:42 [INFO] Epoch 37 loss: 98.9410285949707; train accuracy: 0.7412860576923077; test accuracy: 0.1067 2025-09-27 00:40:42 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:40:42 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:41:18 [INFO] Epoch 37 loss: 276.7895588874817; train accuracy: 0.6544921875; test accuracy: 0.3815 2025-09-27 00:41:18 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:41:18 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:42:02 [INFO] Epoch 37 loss: 324.64980936050415; train accuracy: 0.827734375; test accuracy: 0.5251 2025-09-27 00:42:02 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:42:02 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:42:39 [INFO] Epoch 37 loss: 257.58766412734985; train accuracy: 0.8726462339743589; test accuracy: 0.3422 2025-09-27 00:42:39 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:42:39 [INFO] Round 37 Finish--------| 2025-09-27 00:42:39 [INFO] Model variance: mean: 0.003140960820019245, sum: 35096.9453125 2025-09-27 00:42:39 [INFO] g_protos_std: 1.0064493417739868 2025-09-27 00:42:46 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.7337 2025-09-27 00:42:46 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:42:46 [INFO] Round 38 starts--------| 2025-09-27 00:42:46 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:43:32 [INFO] Epoch 38 loss: 314.43498516082764; train accuracy: 0.9129231770833334; test accuracy: 0.443 2025-09-27 00:43:32 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:43:32 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:43:46 [INFO] Epoch 38 loss: 98.89996147155762; train accuracy: 0.8419471153846154; test accuracy: 0.1515 2025-09-27 00:43:46 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:43:46 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:44:23 [INFO] Epoch 38 loss: 275.8652696609497; train accuracy: 0.789794921875; test accuracy: 0.4364 2025-09-27 00:44:23 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:44:23 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:45:10 [INFO] Epoch 38 loss: 335.19485902786255; train accuracy: 0.7630859375; test accuracy: 0.5007 2025-09-27 00:45:10 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:45:10 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:45:45 [INFO] Epoch 38 loss: 262.2426462173462; train accuracy: 0.8317808493589743; test accuracy: 0.3291 2025-09-27 00:45:45 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:45:45 [INFO] Round 38 Finish--------| 2025-09-27 00:45:45 [INFO] Model variance: mean: 0.0031848701182752848, sum: 35587.5859375 2025-09-27 00:45:45 [INFO] g_protos_std: 1.0064464807510376 2025-09-27 00:45:52 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.7276 2025-09-27 00:45:52 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:45:52 [INFO] Round 39 starts--------| 2025-09-27 00:45:52 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:46:33 [INFO] Epoch 39 loss: 314.7337136268616; train accuracy: 0.8591715494791666; test accuracy: 0.4161 2025-09-27 00:46:33 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:46:33 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:46:47 [INFO] Epoch 39 loss: 98.5614447593689; train accuracy: 0.7926682692307693; test accuracy: 0.126 2025-09-27 00:46:47 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:46:47 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:47:20 [INFO] Epoch 39 loss: 273.71692657470703; train accuracy: 0.826904296875; test accuracy: 0.4731 2025-09-27 00:47:20 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:47:20 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:48:00 [INFO] Epoch 39 loss: 333.09732818603516; train accuracy: 0.8339453125; test accuracy: 0.5329 2025-09-27 00:48:00 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:48:00 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:48:33 [INFO] Epoch 39 loss: 258.03087520599365; train accuracy: 0.8712940705128205; test accuracy: 0.3412 2025-09-27 00:48:33 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:48:33 [INFO] Round 39 Finish--------| 2025-09-27 00:48:33 [INFO] Model variance: mean: 0.0032290893141180277, sum: 36081.6875 2025-09-27 00:48:33 [INFO] g_protos_std: 1.0064493417739868 2025-09-27 00:48:40 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.7353 2025-09-27 00:48:40 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:48:40 [INFO] Round 40 starts--------| 2025-09-27 00:48:40 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:49:20 [INFO] Epoch 40 loss: 309.0426788330078; train accuracy: 0.9153238932291666; test accuracy: 0.4578 2025-09-27 00:49:21 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_0/epoch_40.pth 2025-09-27 00:49:21 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:49:21 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:49:33 [INFO] Epoch 40 loss: 97.25876045227051; train accuracy: 0.830078125; test accuracy: 0.1629 2025-09-27 00:49:33 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_1/epoch_40.pth 2025-09-27 00:49:33 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:49:33 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:50:11 [INFO] Epoch 40 loss: 273.9492287635803; train accuracy: 0.78349609375; test accuracy: 0.4199 2025-09-27 00:50:11 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_2/epoch_40.pth 2025-09-27 00:50:11 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:50:11 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:50:54 [INFO] Epoch 40 loss: 322.5777678489685; train accuracy: 0.861171875; test accuracy: 0.5349 2025-09-27 00:50:55 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_3/epoch_40.pth 2025-09-27 00:50:55 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:50:55 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:51:29 [INFO] Epoch 40 loss: 258.2795162200928; train accuracy: 0.8815104166666666; test accuracy: 0.3485 2025-09-27 00:51:29 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_4/epoch_40.pth 2025-09-27 00:51:29 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:51:29 [INFO] Round 40 Finish--------| 2025-09-27 00:51:29 [INFO] Model variance: mean: 0.0032751813996583223, sum: 36596.71875 2025-09-27 00:51:29 [INFO] g_protos_std: 1.0064617395401 2025-09-27 00:51:36 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.7473 2025-09-27 00:51:36 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:51:36 [INFO] Round 41 starts--------| 2025-09-27 00:51:36 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:52:16 [INFO] Epoch 41 loss: 311.87907457351685; train accuracy: 0.8905029296875; test accuracy: 0.4421 2025-09-27 00:52:16 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:52:16 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:52:30 [INFO] Epoch 41 loss: 97.3466124534607; train accuracy: 0.8658353365384616; test accuracy: 0.157 2025-09-27 00:52:30 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:52:30 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:53:05 [INFO] Epoch 41 loss: 275.6372151374817; train accuracy: 0.717626953125; test accuracy: 0.3525 2025-09-27 00:53:05 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:53:05 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:53:47 [INFO] Epoch 41 loss: 329.8739814758301; train accuracy: 0.8358203125; test accuracy: 0.5215 2025-09-27 00:53:47 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:53:47 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:54:22 [INFO] Epoch 41 loss: 254.33990287780762; train accuracy: 0.8844651442307693; test accuracy: 0.3486 2025-09-27 00:54:22 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:54:22 [INFO] Round 41 Finish--------| 2025-09-27 00:54:22 [INFO] Model variance: mean: 0.0033170266542583704, sum: 37064.296875 2025-09-27 00:54:22 [INFO] g_protos_std: 1.0064564943313599 2025-09-27 00:54:30 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.7438 2025-09-27 00:54:30 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:54:30 [INFO] Round 42 starts--------| 2025-09-27 00:54:30 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:55:13 [INFO] Epoch 42 loss: 311.5202512741089; train accuracy: 0.8915608723958334; test accuracy: 0.4313 2025-09-27 00:55:13 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:55:13 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:55:27 [INFO] Epoch 42 loss: 97.60779857635498; train accuracy: 0.7542067307692307; test accuracy: 0.1558 2025-09-27 00:55:27 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:55:27 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:56:05 [INFO] Epoch 42 loss: 275.5774736404419; train accuracy: 0.82958984375; test accuracy: 0.4325 2025-09-27 00:56:05 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:56:05 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:56:51 [INFO] Epoch 42 loss: 322.035897731781; train accuracy: 0.8627734375; test accuracy: 0.5437 2025-09-27 00:56:51 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:56:51 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:57:28 [INFO] Epoch 42 loss: 257.72620964050293; train accuracy: 0.8611278044871795; test accuracy: 0.3382 2025-09-27 00:57:28 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:57:28 [INFO] Round 42 Finish--------| 2025-09-27 00:57:28 [INFO] Model variance: mean: 0.003360189264640212, sum: 37546.59375 2025-09-27 00:57:28 [INFO] g_protos_std: 1.0064586400985718 2025-09-27 00:57:35 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.7424 2025-09-27 00:57:35 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:57:35 [INFO] Round 43 starts--------| 2025-09-27 00:57:35 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:58:22 [INFO] Epoch 43 loss: 303.8520464897156; train accuracy: 0.9066975911458334; test accuracy: 0.4509 2025-09-27 00:58:22 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:58:22 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:58:35 [INFO] Epoch 43 loss: 97.44960069656372; train accuracy: 0.5151742788461539; test accuracy: 0.1303 2025-09-27 00:58:35 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:58:35 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:59:14 [INFO] Epoch 43 loss: 270.5857253074646; train accuracy: 0.755224609375; test accuracy: 0.3865 2025-09-27 00:59:14 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:59:14 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 01:00:03 [INFO] Epoch 43 loss: 324.575083732605; train accuracy: 0.85875; test accuracy: 0.5372 2025-09-27 01:00:03 [INFO] Client 3 Finish Local Training--------| 2025-09-27 01:00:03 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 01:00:40 [INFO] Epoch 43 loss: 256.96718549728394; train accuracy: 0.8658353365384616; test accuracy: 0.34 2025-09-27 01:00:40 [INFO] Client 4 Finish Local Training--------| 2025-09-27 01:00:40 [INFO] Round 43 Finish--------| 2025-09-27 01:00:40 [INFO] Model variance: mean: 0.003403928130865097, sum: 38035.328125 2025-09-27 01:00:40 [INFO] g_protos_std: 1.0064680576324463 2025-09-27 01:00:47 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.7511 2025-09-27 01:00:47 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 01:00:47 [INFO] Round 44 starts--------| 2025-09-27 01:00:47 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 01:01:32 [INFO] Epoch 44 loss: 307.35465478897095; train accuracy: 0.8749593098958334; test accuracy: 0.4263 2025-09-27 01:01:32 [INFO] Client 0 Finish Local Training--------| 2025-09-27 01:01:32 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 01:01:47 [INFO] Epoch 44 loss: 97.77316904067993; train accuracy: 0.8317307692307693; test accuracy: 0.1518 2025-09-27 01:01:47 [INFO] Client 1 Finish Local Training--------| 2025-09-27 01:01:47 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 01:02:26 [INFO] Epoch 44 loss: 278.6059331893921; train accuracy: 0.861962890625; test accuracy: 0.4724 2025-09-27 01:02:26 [INFO] Client 2 Finish Local Training--------| 2025-09-27 01:02:26 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 01:03:13 [INFO] Epoch 44 loss: 326.56328439712524; train accuracy: 0.852578125; test accuracy: 0.5606 2025-09-27 01:03:13 [INFO] Client 3 Finish Local Training--------| 2025-09-27 01:03:13 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 01:03:51 [INFO] Epoch 44 loss: 255.7533884048462; train accuracy: 0.8631310096153846; test accuracy: 0.3391 2025-09-27 01:03:51 [INFO] Client 4 Finish Local Training--------| 2025-09-27 01:03:51 [INFO] Round 44 Finish--------| 2025-09-27 01:03:51 [INFO] Model variance: mean: 0.003445719601586461, sum: 38502.3046875 2025-09-27 01:03:51 [INFO] g_protos_std: 1.0064659118652344 2025-09-27 01:03:58 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.7485 2025-09-27 01:03:58 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 01:03:58 [INFO] Round 45 starts--------| 2025-09-27 01:03:58 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 01:04:43 [INFO] Epoch 45 loss: 308.8529486656189; train accuracy: 0.9079996744791666; test accuracy: 0.4413 2025-09-27 01:04:44 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_0/epoch_45.pth 2025-09-27 01:04:44 [INFO] Client 0 Finish Local Training--------| 2025-09-27 01:04:44 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 01:04:59 [INFO] Epoch 45 loss: 97.82129287719727; train accuracy: 0.8563701923076923; test accuracy: 0.1609 2025-09-27 01:04:59 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_1/epoch_45.pth 2025-09-27 01:04:59 [INFO] Client 1 Finish Local Training--------| 2025-09-27 01:04:59 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 01:05:39 [INFO] Epoch 45 loss: 272.39214181900024; train accuracy: 0.756494140625; test accuracy: 0.4387 2025-09-27 01:05:40 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_2/epoch_45.pth 2025-09-27 01:05:40 [INFO] Client 2 Finish Local Training--------| 2025-09-27 01:05:40 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 01:06:28 [INFO] Epoch 45 loss: 315.0143437385559; train accuracy: 0.861953125; test accuracy: 0.549 2025-09-27 01:06:28 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_3/epoch_45.pth 2025-09-27 01:06:28 [INFO] Client 3 Finish Local Training--------| 2025-09-27 01:06:28 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 01:07:07 [INFO] Epoch 45 loss: 257.93942308425903; train accuracy: 0.858223157051282; test accuracy: 0.3386 2025-09-27 01:07:08 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_4/epoch_45.pth 2025-09-27 01:07:08 [INFO] Client 4 Finish Local Training--------| 2025-09-27 01:07:08 [INFO] Round 45 Finish--------| 2025-09-27 01:07:08 [INFO] Model variance: mean: 0.003487300593405962, sum: 38966.9296875 2025-09-27 01:07:08 [INFO] g_protos_std: 1.006468415260315 2025-09-27 01:07:15 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.7494 2025-09-27 01:07:15 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 01:07:15 [INFO] Round 46 starts--------| 2025-09-27 01:07:15 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 01:08:00 [INFO] Epoch 46 loss: 309.731689453125; train accuracy: 0.8236490885416666; test accuracy: 0.4003 2025-09-27 01:08:00 [INFO] Client 0 Finish Local Training--------| 2025-09-27 01:08:00 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 01:08:15 [INFO] Epoch 46 loss: 97.53846216201782; train accuracy: 0.859375; test accuracy: 0.1567 2025-09-27 01:08:15 [INFO] Client 1 Finish Local Training--------| 2025-09-27 01:08:15 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 01:08:51 [INFO] Epoch 46 loss: 273.41684103012085; train accuracy: 0.80908203125; test accuracy: 0.4453 2025-09-27 01:08:51 [INFO] Client 2 Finish Local Training--------| 2025-09-27 01:08:51 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 01:09:36 [INFO] Epoch 46 loss: 316.6428575515747; train accuracy: 0.7634375; test accuracy: 0.4904 2025-09-27 01:09:36 [INFO] Client 3 Finish Local Training--------| 2025-09-27 01:09:36 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 01:10:14 [INFO] Epoch 46 loss: 251.65653276443481; train accuracy: 0.8495592948717948; test accuracy: 0.3338 2025-09-27 01:10:14 [INFO] Client 4 Finish Local Training--------| 2025-09-27 01:10:14 [INFO] Round 46 Finish--------| 2025-09-27 01:10:14 [INFO] Model variance: mean: 0.0035295619163662195, sum: 39439.15625 2025-09-27 01:10:14 [INFO] g_protos_std: 1.0064789056777954 2025-09-27 01:10:21 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.7555 2025-09-27 01:10:21 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 01:10:21 [INFO] Round 47 starts--------| 2025-09-27 01:10:21 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 01:11:05 [INFO] Epoch 47 loss: 311.1246337890625; train accuracy: 0.8995361328125; test accuracy: 0.4486 2025-09-27 01:11:05 [INFO] Client 0 Finish Local Training--------| 2025-09-27 01:11:05 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 01:11:19 [INFO] Epoch 47 loss: 96.9988055229187; train accuracy: 0.8442007211538461; test accuracy: 0.1674 2025-09-27 01:11:19 [INFO] Client 1 Finish Local Training--------| 2025-09-27 01:11:19 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 01:11:55 [INFO] Epoch 47 loss: 266.0543050765991; train accuracy: 0.850146484375; test accuracy: 0.4713 2025-09-27 01:11:55 [INFO] Client 2 Finish Local Training--------| 2025-09-27 01:11:55 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 01:12:40 [INFO] Epoch 47 loss: 317.41850900650024; train accuracy: 0.868359375; test accuracy: 0.5685 2025-09-27 01:12:40 [INFO] Client 3 Finish Local Training--------| 2025-09-27 01:12:40 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 01:13:15 [INFO] Epoch 47 loss: 250.7503900527954; train accuracy: 0.8931290064102564; test accuracy: 0.3503 2025-09-27 01:13:15 [INFO] Client 4 Finish Local Training--------| 2025-09-27 01:13:15 [INFO] Round 47 Finish--------| 2025-09-27 01:13:15 [INFO] Model variance: mean: 0.003570362227037549, sum: 39895.0546875 2025-09-27 01:13:15 [INFO] g_protos_std: 1.0064756870269775 2025-09-27 01:13:22 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.7481 2025-09-27 01:13:22 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 01:13:22 [INFO] Round 48 starts--------| 2025-09-27 01:13:22 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 01:14:07 [INFO] Epoch 48 loss: 310.52443170547485; train accuracy: 0.883544921875; test accuracy: 0.4284 2025-09-27 01:14:07 [INFO] Client 0 Finish Local Training--------| 2025-09-27 01:14:07 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 01:14:20 [INFO] Epoch 48 loss: 97.41223192214966; train accuracy: 0.8423978365384616; test accuracy: 0.157 2025-09-27 01:14:20 [INFO] Client 1 Finish Local Training--------| 2025-09-27 01:14:20 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 01:14:59 [INFO] Epoch 48 loss: 270.3948817253113; train accuracy: 0.804833984375; test accuracy: 0.4586 2025-09-27 01:14:59 [INFO] Client 2 Finish Local Training--------| 2025-09-27 01:14:59 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 01:15:45 [INFO] Epoch 48 loss: 325.79212617874146; train accuracy: 0.8259375; test accuracy: 0.5088 2025-09-27 01:15:45 [INFO] Client 3 Finish Local Training--------| 2025-09-27 01:15:45 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 01:16:21 [INFO] Epoch 48 loss: 252.9876480102539; train accuracy: 0.8599258814102564; test accuracy: 0.3388 2025-09-27 01:16:21 [INFO] Client 4 Finish Local Training--------| 2025-09-27 01:16:21 [INFO] Round 48 Finish--------| 2025-09-27 01:16:21 [INFO] Model variance: mean: 0.0036104703322052956, sum: 40343.22265625 2025-09-27 01:16:21 [INFO] g_protos_std: 1.0064725875854492 2025-09-27 01:16:27 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.7564 2025-09-27 01:16:27 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 01:16:27 [INFO] Round 49 starts--------| 2025-09-27 01:16:27 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 01:17:13 [INFO] Epoch 49 loss: 302.9946985244751; train accuracy: 0.8861897786458334; test accuracy: 0.4339 2025-09-27 01:17:13 [INFO] Client 0 Finish Local Training--------| 2025-09-27 01:17:13 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 01:17:28 [INFO] Epoch 49 loss: 97.3626389503479; train accuracy: 0.8538161057692307; test accuracy: 0.1617 2025-09-27 01:17:28 [INFO] Client 1 Finish Local Training--------| 2025-09-27 01:17:28 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 01:18:05 [INFO] Epoch 49 loss: 272.0859098434448; train accuracy: 0.75498046875; test accuracy: 0.4453 2025-09-27 01:18:05 [INFO] Client 2 Finish Local Training--------| 2025-09-27 01:18:05 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 01:18:52 [INFO] Epoch 49 loss: 316.31418323516846; train accuracy: 0.8391015625; test accuracy: 0.5245 2025-09-27 01:18:52 [INFO] Client 3 Finish Local Training--------| 2025-09-27 01:18:52 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 01:19:30 [INFO] Epoch 49 loss: 251.8098907470703; train accuracy: 0.8895733173076923; test accuracy: 0.3486 2025-09-27 01:19:30 [INFO] Client 4 Finish Local Training--------| 2025-09-27 01:19:30 [INFO] Round 49 Finish--------| 2025-09-27 01:19:30 [INFO] Model variance: mean: 0.0036511169746518135, sum: 40797.40625 2025-09-27 01:19:30 [INFO] g_protos_std: 1.006481409072876 2025-09-27 01:19:37 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.757 2025-09-27 01:19:37 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 01:19:37 [INFO] Round 50 starts--------| 2025-09-27 01:19:37 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 01:20:22 [INFO] Epoch 50 loss: 303.07437229156494; train accuracy: 0.8978271484375; test accuracy: 0.4356 2025-09-27 01:20:23 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_0/epoch_50.pth 2025-09-27 01:20:23 [INFO] Client 0 Finish Local Training--------| 2025-09-27 01:20:23 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 01:20:37 [INFO] Epoch 50 loss: 97.6236925125122; train accuracy: 0.6323617788461539; test accuracy: 0.146 2025-09-27 01:20:37 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_1/epoch_50.pth 2025-09-27 01:20:37 [INFO] Client 1 Finish Local Training--------| 2025-09-27 01:20:37 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 01:21:13 [INFO] Epoch 50 loss: 270.4348268508911; train accuracy: 0.830078125; test accuracy: 0.4407 2025-09-27 01:21:15 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_2/epoch_50.pth 2025-09-27 01:21:15 [INFO] Client 2 Finish Local Training--------| 2025-09-27 01:21:15 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 01:22:02 [INFO] Epoch 50 loss: 317.7058424949646; train accuracy: 0.8808984375; test accuracy: 0.5727 2025-09-27 01:22:03 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_3/epoch_50.pth 2025-09-27 01:22:03 [INFO] Client 3 Finish Local Training--------| 2025-09-27 01:22:03 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 01:22:37 [INFO] Epoch 50 loss: 247.26954460144043; train accuracy: 0.8937800480769231; test accuracy: 0.3504 2025-09-27 01:22:38 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.1/local_models/client_4/epoch_50.pth 2025-09-27 01:22:38 [INFO] Client 4 Finish Local Training--------| 2025-09-27 01:22:38 [INFO] Round 50 Finish--------| 2025-09-27 01:22:38 [INFO] Model variance: mean: 0.003690568497404456, sum: 41238.234375 2025-09-27 01:22:38 [INFO] g_protos_std: 1.0064815282821655 2025-09-27 01:22:45 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.7688 2025-09-27 01:22:45 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.1/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:14:29 [INFO] Load config from ./configs/CIFAR10_alpha0.05.yaml 2025-09-26 23:14:29 [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, 'lambda_align_initial': 20.0} 2025-09-26 23:14:31 [INFO] Dataset CIFAR10 loaded 2025-09-26 23:14:32 [INFO] Dataset index dict loaded from preprocessed_data/CIFAR10.pt 2025-09-26 23:14:32 [INFO] OneshotOursV8 - Final Version: Consensus-Start Progressive Alignment 2025-09-26 23:14:33 [INFO] Initialized FINAL ETF anchors with shape: torch.Size([10, 512]) 2025-09-26 23:14:34 [INFO] Calculated a shared CONSENSUS start point for all clients. 2025-09-26 23:14:34 [INFO] Round 0 starts--------| 2025-09-26 23:14:34 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:15:38 [INFO] Epoch 0 loss: 586.6581497192383; train accuracy: 0.24148033405172414; test accuracy: 0.1509 2025-09-26 23:15:38 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_0/epoch_0.pth 2025-09-26 23:15:38 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:15:38 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:15:54 [INFO] Epoch 0 loss: 112.18269777297974; train accuracy: 0.8158052884615384; test accuracy: 0.1407 2025-09-26 23:15:55 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_1/epoch_0.pth 2025-09-26 23:15:55 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:15:55 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:16:09 [INFO] Epoch 0 loss: 121.6755542755127; train accuracy: 0.8478338068181818; test accuracy: 0.1 2025-09-26 23:16:10 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_2/epoch_0.pth 2025-09-26 23:16:10 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:16:10 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:17:00 [INFO] Epoch 0 loss: 475.47995471954346; train accuracy: 0.2665807845744681; test accuracy: 0.1463 2025-09-26 23:17:01 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_3/epoch_0.pth 2025-09-26 23:17:01 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:17:01 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:17:36 [INFO] Epoch 0 loss: 295.4786558151245; train accuracy: 0.45403645833333334; test accuracy: 0.1435 2025-09-26 23:17:36 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_4/epoch_0.pth 2025-09-26 23:17:36 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:17:36 [INFO] Round 0 Finish--------| 2025-09-26 23:17:36 [INFO] Model variance: mean: 0.0004996518837288022, sum: 5583.0859375 2025-09-26 23:17:36 [INFO] g_protos_std: 1.0060627460479736 2025-09-26 23:17:44 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.3153 2025-09-26 23:17:44 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:17:44 [INFO] Round 1 starts--------| 2025-09-26 23:17:44 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:18:38 [INFO] Epoch 1 loss: 534.3664360046387; train accuracy: 0.24700296336206898; test accuracy: 0.1501 2025-09-26 23:18:38 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:18:38 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:18:52 [INFO] Epoch 1 loss: 101.5811505317688; train accuracy: 0.7223557692307693; test accuracy: 0.1022 2025-09-26 23:18:52 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:18:52 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:19:04 [INFO] Epoch 1 loss: 89.4449634552002; train accuracy: 0.8481889204545454; test accuracy: 0.1 2025-09-26 23:19:04 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:19:04 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:19:46 [INFO] Epoch 1 loss: 430.709210395813; train accuracy: 0.2837433510638298; test accuracy: 0.157 2025-09-26 23:19:46 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:19:46 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:20:15 [INFO] Epoch 1 loss: 254.62082195281982; train accuracy: 0.553515625; test accuracy: 0.1735 2025-09-26 23:20:15 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:20:15 [INFO] Round 1 Finish--------| 2025-09-26 23:20:15 [INFO] Model variance: mean: 0.0006356597295962274, sum: 7102.83154296875 2025-09-26 23:20:15 [INFO] g_protos_std: 1.0060853958129883 2025-09-26 23:20:22 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.3308 2025-09-26 23:20:22 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:20:22 [INFO] Round 2 starts--------| 2025-09-26 23:20:22 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:21:15 [INFO] Epoch 2 loss: 521.586386680603; train accuracy: 0.3075835129310345; test accuracy: 0.1851 2025-09-26 23:21:15 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:21:15 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:21:30 [INFO] Epoch 2 loss: 99.07478475570679; train accuracy: 0.8598257211538461; test accuracy: 0.1726 2025-09-26 23:21:30 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:21:30 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:21:43 [INFO] Epoch 2 loss: 87.31164312362671; train accuracy: 0.8471235795454546; test accuracy: 0.1 2025-09-26 23:21:43 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:21:43 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:22:30 [INFO] Epoch 2 loss: 419.1502275466919; train accuracy: 0.25910073138297873; test accuracy: 0.1293 2025-09-26 23:22:30 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:22:30 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:23:00 [INFO] Epoch 2 loss: 246.63822841644287; train accuracy: 0.6824869791666667; test accuracy: 0.22 2025-09-26 23:23:00 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:23:00 [INFO] Round 2 Finish--------| 2025-09-26 23:23:00 [INFO] Model variance: mean: 0.0007538933423347771, sum: 8423.9677734375 2025-09-26 23:23:00 [INFO] g_protos_std: 1.0061081647872925 2025-09-26 23:23:06 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.3421 2025-09-26 23:23:06 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:23:06 [INFO] Round 3 starts--------| 2025-09-26 23:23:06 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:24:03 [INFO] Epoch 3 loss: 501.4820375442505; train accuracy: 0.3560412176724138; test accuracy: 0.212 2025-09-26 23:24:03 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:24:03 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:24:17 [INFO] Epoch 3 loss: 96.8751769065857; train accuracy: 0.7973257211538461; test accuracy: 0.1336 2025-09-26 23:24:17 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:24:17 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:24:29 [INFO] Epoch 3 loss: 86.64674091339111; train accuracy: 0.8497869318181818; test accuracy: 0.0999 2025-09-26 23:24:29 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:24:29 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:25:13 [INFO] Epoch 3 loss: 410.2650318145752; train accuracy: 0.44950964095744683; test accuracy: 0.2326 2025-09-26 23:25:13 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:25:13 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:25:43 [INFO] Epoch 3 loss: 243.58929681777954; train accuracy: 0.44296875; test accuracy: 0.1383 2025-09-26 23:25:43 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:25:43 [INFO] Round 3 Finish--------| 2025-09-26 23:25:43 [INFO] Model variance: mean: 0.0008569910423830152, sum: 9575.9765625 2025-09-26 23:25:43 [INFO] g_protos_std: 1.006131887435913 2025-09-26 23:25:50 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.3808 2025-09-26 23:25:50 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:25:50 [INFO] Round 4 starts--------| 2025-09-26 23:25:50 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:26:46 [INFO] Epoch 4 loss: 491.9852738380432; train accuracy: 0.3957435344827586; test accuracy: 0.2403 2025-09-26 23:26:46 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:26:46 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:27:00 [INFO] Epoch 4 loss: 96.6570234298706; train accuracy: 0.7686298076923077; test accuracy: 0.122 2025-09-26 23:27:00 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:27:00 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:27:13 [INFO] Epoch 4 loss: 85.99548673629761; train accuracy: 0.8473011363636364; test accuracy: 0.1006 2025-09-26 23:27:13 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:27:13 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:27:58 [INFO] Epoch 4 loss: 399.12458324432373; train accuracy: 0.49671708776595747; test accuracy: 0.2598 2025-09-26 23:27:58 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:27:58 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:28:26 [INFO] Epoch 4 loss: 238.36537837982178; train accuracy: 0.5966145833333333; test accuracy: 0.1868 2025-09-26 23:28:26 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:28:26 [INFO] Round 4 Finish--------| 2025-09-26 23:28:26 [INFO] Model variance: mean: 0.0009449580684304237, sum: 10558.916015625 2025-09-26 23:28:26 [INFO] g_protos_std: 1.006150722503662 2025-09-26 23:28:33 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.3995 2025-09-26 23:28:33 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:28:33 [INFO] Round 5 starts--------| 2025-09-26 23:28:33 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:29:29 [INFO] Epoch 5 loss: 477.0487594604492; train accuracy: 0.4886179956896552; test accuracy: 0.2936 2025-09-26 23:29:29 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_0/epoch_5.pth 2025-09-26 23:29:29 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:29:29 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:29:43 [INFO] Epoch 5 loss: 96.29836416244507; train accuracy: 0.908203125; test accuracy: 0.1801 2025-09-26 23:29:43 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_1/epoch_5.pth 2025-09-26 23:29:43 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:29:43 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:29:55 [INFO] Epoch 5 loss: 85.55852746963501; train accuracy: 0.8510298295454546; test accuracy: 0.1026 2025-09-26 23:29:55 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_2/epoch_5.pth 2025-09-26 23:29:55 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:29:55 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:30:41 [INFO] Epoch 5 loss: 396.5427350997925; train accuracy: 0.5543550531914894; test accuracy: 0.2806 2025-09-26 23:30:41 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_3/epoch_5.pth 2025-09-26 23:30:41 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:30:41 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:31:13 [INFO] Epoch 5 loss: 235.51918172836304; train accuracy: 0.6899088541666667; test accuracy: 0.2167 2025-09-26 23:31:14 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_4/epoch_5.pth 2025-09-26 23:31:14 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:31:14 [INFO] Round 5 Finish--------| 2025-09-26 23:31:14 [INFO] Model variance: mean: 0.0010306532494723797, sum: 11516.4697265625 2025-09-26 23:31:14 [INFO] g_protos_std: 1.0061631202697754 2025-09-26 23:31:20 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.4099 2025-09-26 23:31:20 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:31:20 [INFO] Round 6 starts--------| 2025-09-26 23:31:20 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:32:16 [INFO] Epoch 6 loss: 477.4268169403076; train accuracy: 0.560479525862069; test accuracy: 0.3417 2025-09-26 23:32:16 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:32:16 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:32:30 [INFO] Epoch 6 loss: 96.26834535598755; train accuracy: 0.8419471153846154; test accuracy: 0.1741 2025-09-26 23:32:30 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:32:30 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:32:43 [INFO] Epoch 6 loss: 85.54961109161377; train accuracy: 0.8480113636363636; test accuracy: 0.1034 2025-09-26 23:32:43 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:32:43 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:33:29 [INFO] Epoch 6 loss: 386.4723229408264; train accuracy: 0.4296875; test accuracy: 0.2253 2025-09-26 23:33:29 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:33:29 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:33:58 [INFO] Epoch 6 loss: 236.2194104194641; train accuracy: 0.7388671875; test accuracy: 0.2343 2025-09-26 23:33:58 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:33:58 [INFO] Round 6 Finish--------| 2025-09-26 23:33:58 [INFO] Model variance: mean: 0.0011113286018371582, sum: 12417.9326171875 2025-09-26 23:33:58 [INFO] g_protos_std: 1.0061843395233154 2025-09-26 23:34:06 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.4356 2025-09-26 23:34:06 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:34:06 [INFO] Round 7 starts--------| 2025-09-26 23:34:06 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:35:04 [INFO] Epoch 7 loss: 465.24017572402954; train accuracy: 0.5991716056034483; test accuracy: 0.3612 2025-09-26 23:35:04 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:35:04 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:35:19 [INFO] Epoch 7 loss: 95.94806098937988; train accuracy: 0.8753004807692307; test accuracy: 0.1649 2025-09-26 23:35:19 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:35:19 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:35:32 [INFO] Epoch 7 loss: 85.65307378768921; train accuracy: 0.8538707386363636; test accuracy: 0.1057 2025-09-26 23:35:32 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:35:32 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:36:16 [INFO] Epoch 7 loss: 379.65949392318726; train accuracy: 0.5062749335106383; test accuracy: 0.268 2025-09-26 23:36:16 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:36:16 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:36:45 [INFO] Epoch 7 loss: 231.53027868270874; train accuracy: 0.6798177083333333; test accuracy: 0.2154 2025-09-26 23:36:45 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:36:45 [INFO] Round 7 Finish--------| 2025-09-26 23:36:45 [INFO] Model variance: mean: 0.0011935873189941049, sum: 13337.0869140625 2025-09-26 23:36:45 [INFO] g_protos_std: 1.0061993598937988 2025-09-26 23:36:52 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.4589 2025-09-26 23:36:52 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:36:52 [INFO] Round 8 starts--------| 2025-09-26 23:36:52 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:37:46 [INFO] Epoch 8 loss: 450.2204923629761; train accuracy: 0.7330953663793104; test accuracy: 0.4332 2025-09-26 23:37:46 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:37:46 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:38:01 [INFO] Epoch 8 loss: 95.10499954223633; train accuracy: 0.8500600961538461; test accuracy: 0.15 2025-09-26 23:38:01 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:38:01 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:38:15 [INFO] Epoch 8 loss: 85.63730573654175; train accuracy: 0.8494318181818182; test accuracy: 0.102 2025-09-26 23:38:15 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:38:15 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:38:59 [INFO] Epoch 8 loss: 381.8224239349365; train accuracy: 0.5232712765957447; test accuracy: 0.2678 2025-09-26 23:38:59 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:38:59 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:39:30 [INFO] Epoch 8 loss: 232.33684158325195; train accuracy: 0.7567057291666667; test accuracy: 0.2395 2025-09-26 23:39:30 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:39:30 [INFO] Round 8 Finish--------| 2025-09-26 23:39:30 [INFO] Model variance: mean: 0.0012668517883867025, sum: 14155.7412109375 2025-09-26 23:39:30 [INFO] g_protos_std: 1.006211757659912 2025-09-26 23:39:36 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.4795 2025-09-26 23:39:36 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:39:36 [INFO] Round 9 starts--------| 2025-09-26 23:39:36 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:40:30 [INFO] Epoch 9 loss: 443.5756859779358; train accuracy: 0.6695514547413793; test accuracy: 0.4001 2025-09-26 23:40:30 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:40:30 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:40:44 [INFO] Epoch 9 loss: 94.42932844161987; train accuracy: 0.8707932692307693; test accuracy: 0.1746 2025-09-26 23:40:44 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:40:44 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:40:57 [INFO] Epoch 9 loss: 85.10956573486328; train accuracy: 0.8485440340909091; test accuracy: 0.1019 2025-09-26 23:40:57 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:40:57 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:41:45 [INFO] Epoch 9 loss: 371.29699087142944; train accuracy: 0.5152094414893617; test accuracy: 0.2629 2025-09-26 23:41:45 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:41:45 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:42:15 [INFO] Epoch 9 loss: 229.88130044937134; train accuracy: 0.7502604166666667; test accuracy: 0.2342 2025-09-26 23:42:15 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:42:15 [INFO] Round 9 Finish--------| 2025-09-26 23:42:15 [INFO] Model variance: mean: 0.0013386734062805772, sum: 14958.2724609375 2025-09-26 23:42:15 [INFO] g_protos_std: 1.0062309503555298 2025-09-26 23:42:22 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.4714 2025-09-26 23:42:22 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:42:22 [INFO] Round 10 starts--------| 2025-09-26 23:42:22 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:43:19 [INFO] Epoch 10 loss: 439.63973331451416; train accuracy: 0.5997103987068966; test accuracy: 0.355 2025-09-26 23:43:19 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_0/epoch_10.pth 2025-09-26 23:43:19 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:43:19 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:43:32 [INFO] Epoch 10 loss: 94.92293691635132; train accuracy: 0.7902644230769231; test accuracy: 0.1721 2025-09-26 23:43:32 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_1/epoch_10.pth 2025-09-26 23:43:32 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:43:32 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:43:45 [INFO] Epoch 10 loss: 84.89953899383545; train accuracy: 0.84765625; test accuracy: 0.1002 2025-09-26 23:43:45 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_2/epoch_10.pth 2025-09-26 23:43:45 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:43:45 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:44:30 [INFO] Epoch 10 loss: 365.70159816741943; train accuracy: 0.703125; test accuracy: 0.3546 2025-09-26 23:44:31 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_3/epoch_10.pth 2025-09-26 23:44:31 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:44:31 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:45:00 [INFO] Epoch 10 loss: 230.3280668258667; train accuracy: 0.5268229166666667; test accuracy: 0.1684 2025-09-26 23:45:01 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_4/epoch_10.pth 2025-09-26 23:45:01 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:45:01 [INFO] Round 10 Finish--------| 2025-09-26 23:45:01 [INFO] Model variance: mean: 0.001406552386470139, sum: 15716.7490234375 2025-09-26 23:45:01 [INFO] g_protos_std: 1.006243109703064 2025-09-26 23:45:08 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.4892 2025-09-26 23:45:08 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:45:08 [INFO] Round 11 starts--------| 2025-09-26 23:45:08 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:46:06 [INFO] Epoch 11 loss: 428.3350143432617; train accuracy: 0.6915409482758621; test accuracy: 0.4049 2025-09-26 23:46:06 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:46:06 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:46:20 [INFO] Epoch 11 loss: 95.4966254234314; train accuracy: 0.8733473557692307; test accuracy: 0.1611 2025-09-26 23:46:20 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:46:20 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:46:32 [INFO] Epoch 11 loss: 84.99697971343994; train accuracy: 0.8480113636363636; test accuracy: 0.1 2025-09-26 23:46:32 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:46:32 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:47:16 [INFO] Epoch 11 loss: 364.6807041168213; train accuracy: 0.726313164893617; test accuracy: 0.3643 2025-09-26 23:47:16 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:47:16 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:47:47 [INFO] Epoch 11 loss: 224.98462533950806; train accuracy: 0.7772135416666667; test accuracy: 0.2563 2025-09-26 23:47:47 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:47:47 [INFO] Round 11 Finish--------| 2025-09-26 23:47:47 [INFO] Model variance: mean: 0.0014710577670484781, sum: 16437.529296875 2025-09-26 23:47:47 [INFO] g_protos_std: 1.0062533617019653 2025-09-26 23:47:54 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.5045 2025-09-26 23:47:54 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:47:54 [INFO] Round 12 starts--------| 2025-09-26 23:47:54 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:48:47 [INFO] Epoch 12 loss: 424.82922077178955; train accuracy: 0.7386516702586207; test accuracy: 0.4356 2025-09-26 23:48:47 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:48:47 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:49:03 [INFO] Epoch 12 loss: 94.92666959762573; train accuracy: 0.8542668269230769; test accuracy: 0.1511 2025-09-26 23:49:03 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:49:03 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:49:17 [INFO] Epoch 12 loss: 85.03545761108398; train accuracy: 0.8494318181818182; test accuracy: 0.1 2025-09-26 23:49:17 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:49:17 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:50:02 [INFO] Epoch 12 loss: 355.00649976730347; train accuracy: 0.5707696143617021; test accuracy: 0.2932 2025-09-26 23:50:02 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:50:02 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:50:31 [INFO] Epoch 12 loss: 219.85504865646362; train accuracy: 0.7344401041666667; test accuracy: 0.2438 2025-09-26 23:50:31 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:50:31 [INFO] Round 12 Finish--------| 2025-09-26 23:50:31 [INFO] Model variance: mean: 0.0015360784018412232, sum: 17164.06640625 2025-09-26 23:50:31 [INFO] g_protos_std: 1.0062720775604248 2025-09-26 23:50:38 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.5187 2025-09-26 23:50:38 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:50:38 [INFO] Round 13 starts--------| 2025-09-26 23:50:38 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:51:34 [INFO] Epoch 13 loss: 423.1686396598816; train accuracy: 0.7669046336206896; test accuracy: 0.4535 2025-09-26 23:51:34 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:51:34 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:51:47 [INFO] Epoch 13 loss: 94.35240888595581; train accuracy: 0.9068509615384616; test accuracy: 0.1743 2025-09-26 23:51:47 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:51:47 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:51:58 [INFO] Epoch 13 loss: 84.86861228942871; train accuracy: 0.84765625; test accuracy: 0.1001 2025-09-26 23:51:58 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:51:58 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:52:42 [INFO] Epoch 13 loss: 349.91315031051636; train accuracy: 0.6640209441489362; test accuracy: 0.3372 2025-09-26 23:52:42 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:52:42 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:53:11 [INFO] Epoch 13 loss: 225.90469646453857; train accuracy: 0.7068359375; test accuracy: 0.2243 2025-09-26 23:53:11 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:53:11 [INFO] Round 13 Finish--------| 2025-09-26 23:53:11 [INFO] Model variance: mean: 0.001596497604623437, sum: 17839.1875 2025-09-26 23:53:11 [INFO] g_protos_std: 1.0062800645828247 2025-09-26 23:53:19 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.536 2025-09-26 23:53:19 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:53:19 [INFO] Round 14 starts--------| 2025-09-26 23:53:19 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:54:15 [INFO] Epoch 14 loss: 421.68917512893677; train accuracy: 0.6438240840517241; test accuracy: 0.381 2025-09-26 23:54:15 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:54:15 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:54:30 [INFO] Epoch 14 loss: 95.47828102111816; train accuracy: 0.8132512019230769; test accuracy: 0.1728 2025-09-26 23:54:30 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:54:30 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:54:43 [INFO] Epoch 14 loss: 85.19405937194824; train accuracy: 0.8478338068181818; test accuracy: 0.1001 2025-09-26 23:54:43 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:54:43 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:55:26 [INFO] Epoch 14 loss: 342.62403535842896; train accuracy: 0.6551279920212766; test accuracy: 0.333 2025-09-26 23:55:26 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:55:26 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:55:56 [INFO] Epoch 14 loss: 222.83869886398315; train accuracy: 0.65546875; test accuracy: 0.2076 2025-09-26 23:55:56 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:55:56 [INFO] Round 14 Finish--------| 2025-09-26 23:55:56 [INFO] Model variance: mean: 0.001657131128013134, sum: 18516.703125 2025-09-26 23:55:56 [INFO] g_protos_std: 1.0062898397445679 2025-09-26 23:56:03 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.5443 2025-09-26 23:56:03 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:56:03 [INFO] Round 15 starts--------| 2025-09-26 23:56:03 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:57:01 [INFO] Epoch 15 loss: 416.74975299835205; train accuracy: 0.7374730603448276; test accuracy: 0.437 2025-09-26 23:57:01 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_0/epoch_15.pth 2025-09-26 23:57:01 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:57:01 [INFO] Client 1 Starts Local Trainning--------| 2025-09-26 23:57:15 [INFO] Epoch 15 loss: 94.7307596206665; train accuracy: 0.8037860576923077; test accuracy: 0.1327 2025-09-26 23:57:16 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_1/epoch_15.pth 2025-09-26 23:57:16 [INFO] Client 1 Finish Local Training--------| 2025-09-26 23:57:16 [INFO] Client 2 Starts Local Trainning--------| 2025-09-26 23:57:29 [INFO] Epoch 15 loss: 84.92403984069824; train accuracy: 0.6399147727272727; test accuracy: 0.1346 2025-09-26 23:57:29 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_2/epoch_15.pth 2025-09-26 23:57:29 [INFO] Client 2 Finish Local Training--------| 2025-09-26 23:57:29 [INFO] Client 3 Starts Local Trainning--------| 2025-09-26 23:58:15 [INFO] Epoch 15 loss: 338.74872970581055; train accuracy: 0.7269365026595744; test accuracy: 0.3673 2025-09-26 23:58:15 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_3/epoch_15.pth 2025-09-26 23:58:15 [INFO] Client 3 Finish Local Training--------| 2025-09-26 23:58:15 [INFO] Client 4 Starts Local Trainning--------| 2025-09-26 23:58:46 [INFO] Epoch 15 loss: 221.3767786026001; train accuracy: 0.8436848958333333; test accuracy: 0.2966 2025-09-26 23:58:46 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_4/epoch_15.pth 2025-09-26 23:58:46 [INFO] Client 4 Finish Local Training--------| 2025-09-26 23:58:46 [INFO] Round 15 Finish--------| 2025-09-26 23:58:46 [INFO] Model variance: mean: 0.0017153510125353932, sum: 19167.25 2025-09-26 23:58:46 [INFO] g_protos_std: 1.006300687789917 2025-09-26 23:58:53 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.5486 2025-09-26 23:58:53 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-26 23:58:53 [INFO] Round 16 starts--------| 2025-09-26 23:58:53 [INFO] Client 0 Starts Local Trainning--------| 2025-09-26 23:59:51 [INFO] Epoch 16 loss: 416.85282707214355; train accuracy: 0.8207165948275862; test accuracy: 0.4808 2025-09-26 23:59:51 [INFO] Client 0 Finish Local Training--------| 2025-09-26 23:59:51 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:00:05 [INFO] Epoch 16 loss: 94.31094169616699; train accuracy: 0.8759014423076923; test accuracy: 0.1807 2025-09-27 00:00:05 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:00:05 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:00:17 [INFO] Epoch 16 loss: 84.48511838912964; train accuracy: 0.8575994318181818; test accuracy: 0.1097 2025-09-27 00:00:17 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:00:17 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:01:01 [INFO] Epoch 16 loss: 338.3975872993469; train accuracy: 0.7930518617021277; test accuracy: 0.393 2025-09-27 00:01:01 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:01:01 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:01:30 [INFO] Epoch 16 loss: 221.95672941207886; train accuracy: 0.6965494791666667; test accuracy: 0.2316 2025-09-27 00:01:30 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:01:30 [INFO] Round 16 Finish--------| 2025-09-27 00:01:30 [INFO] Model variance: mean: 0.0017715705325827003, sum: 19795.443359375 2025-09-27 00:01:30 [INFO] g_protos_std: 1.0063105821609497 2025-09-27 00:01:38 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.5425 2025-09-27 00:01:38 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:01:38 [INFO] Round 17 starts--------| 2025-09-27 00:01:38 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:02:31 [INFO] Epoch 17 loss: 407.8571572303772; train accuracy: 0.8159348060344828; test accuracy: 0.4848 2025-09-27 00:02:31 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:02:31 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:02:45 [INFO] Epoch 17 loss: 93.4721508026123; train accuracy: 0.8557692307692307; test accuracy: 0.1539 2025-09-27 00:02:45 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:02:45 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:02:58 [INFO] Epoch 17 loss: 84.36182260513306; train accuracy: 0.8568892045454546; test accuracy: 0.112 2025-09-27 00:02:58 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:02:58 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:03:46 [INFO] Epoch 17 loss: 341.0313138961792; train accuracy: 0.7878989361702128; test accuracy: 0.3894 2025-09-27 00:03:46 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:03:46 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:04:14 [INFO] Epoch 17 loss: 216.98557376861572; train accuracy: 0.7322916666666667; test accuracy: 0.2331 2025-09-27 00:04:14 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:04:14 [INFO] Round 17 Finish--------| 2025-09-27 00:04:14 [INFO] Model variance: mean: 0.0018264008685946465, sum: 20408.115234375 2025-09-27 00:04:14 [INFO] g_protos_std: 1.0063196420669556 2025-09-27 00:04:22 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.5566 2025-09-27 00:04:22 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:04:22 [INFO] Round 18 starts--------| 2025-09-27 00:04:22 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:05:18 [INFO] Epoch 18 loss: 404.16602659225464; train accuracy: 0.8391365840517241; test accuracy: 0.4909 2025-09-27 00:05:18 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:05:18 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:05:32 [INFO] Epoch 18 loss: 95.66443014144897; train accuracy: 0.9039963942307693; test accuracy: 0.1758 2025-09-27 00:05:32 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:05:32 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:05:45 [INFO] Epoch 18 loss: 84.01607751846313; train accuracy: 0.8540482954545454; test accuracy: 0.1058 2025-09-27 00:05:45 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:05:45 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:06:29 [INFO] Epoch 18 loss: 338.92041873931885; train accuracy: 0.7616356382978723; test accuracy: 0.3804 2025-09-27 00:06:29 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:06:29 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:07:00 [INFO] Epoch 18 loss: 218.35681343078613; train accuracy: 0.8341796875; test accuracy: 0.2835 2025-09-27 00:07:00 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:07:00 [INFO] Round 18 Finish--------| 2025-09-27 00:07:00 [INFO] Model variance: mean: 0.0018792056944221258, sum: 20998.154296875 2025-09-27 00:07:00 [INFO] g_protos_std: 1.006329894065857 2025-09-27 00:07:07 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.5735 2025-09-27 00:07:07 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:07:07 [INFO] Round 19 starts--------| 2025-09-27 00:07:07 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:08:02 [INFO] Epoch 19 loss: 401.4046769142151; train accuracy: 0.7866042564655172; test accuracy: 0.4624 2025-09-27 00:08:02 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:08:02 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:08:16 [INFO] Epoch 19 loss: 95.18285608291626; train accuracy: 0.8796574519230769; test accuracy: 0.1789 2025-09-27 00:08:16 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:08:16 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:08:29 [INFO] Epoch 19 loss: 84.12719440460205; train accuracy: 0.8480113636363636; test accuracy: 0.1 2025-09-27 00:08:29 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:08:29 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:09:15 [INFO] Epoch 19 loss: 330.17414569854736; train accuracy: 0.8267952127659575; test accuracy: 0.4088 2025-09-27 00:09:15 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:09:15 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:09:42 [INFO] Epoch 19 loss: 219.71741819381714; train accuracy: 0.6255859375; test accuracy: 0.2017 2025-09-27 00:09:42 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:09:42 [INFO] Round 19 Finish--------| 2025-09-27 00:09:42 [INFO] Model variance: mean: 0.0019311292562633753, sum: 21578.345703125 2025-09-27 00:09:42 [INFO] g_protos_std: 1.0063368082046509 2025-09-27 00:09:50 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.5746 2025-09-27 00:09:50 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:09:50 [INFO] Round 20 starts--------| 2025-09-27 00:09:50 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:10:44 [INFO] Epoch 20 loss: 404.12276220321655; train accuracy: 0.8429081357758621; test accuracy: 0.495 2025-09-27 00:10:45 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_0/epoch_20.pth 2025-09-27 00:10:45 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:10:45 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:10:59 [INFO] Epoch 20 loss: 95.09091186523438; train accuracy: 0.8405949519230769; test accuracy: 0.1455 2025-09-27 00:10:59 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_1/epoch_20.pth 2025-09-27 00:10:59 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:10:59 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:11:13 [INFO] Epoch 20 loss: 84.20043849945068; train accuracy: 0.7982954545454546; test accuracy: 0.1483 2025-09-27 00:11:13 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_2/epoch_20.pth 2025-09-27 00:11:13 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:11:13 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:11:58 [INFO] Epoch 20 loss: 327.3405876159668; train accuracy: 0.775639960106383; test accuracy: 0.3854 2025-09-27 00:11:58 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_3/epoch_20.pth 2025-09-27 00:11:58 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:11:58 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:12:28 [INFO] Epoch 20 loss: 217.2635097503662; train accuracy: 0.7361328125; test accuracy: 0.256 2025-09-27 00:12:28 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_4/epoch_20.pth 2025-09-27 00:12:28 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:12:28 [INFO] Round 20 Finish--------| 2025-09-27 00:12:28 [INFO] Model variance: mean: 0.00198253127746284, sum: 22152.708984375 2025-09-27 00:12:28 [INFO] g_protos_std: 1.0063467025756836 2025-09-27 00:12:35 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.5538 2025-09-27 00:12:35 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:12:35 [INFO] Round 21 starts--------| 2025-09-27 00:12:35 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:13:30 [INFO] Epoch 21 loss: 403.07272815704346; train accuracy: 0.8006465517241379; test accuracy: 0.4694 2025-09-27 00:13:30 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:13:30 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:13:44 [INFO] Epoch 21 loss: 94.45494890213013; train accuracy: 0.9067007211538461; test accuracy: 0.1793 2025-09-27 00:13:44 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:13:44 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:13:56 [INFO] Epoch 21 loss: 83.95746755599976; train accuracy: 0.8588423295454546; test accuracy: 0.109 2025-09-27 00:13:56 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:13:56 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:14:40 [INFO] Epoch 21 loss: 330.438259601593; train accuracy: 0.742935505319149; test accuracy: 0.37 2025-09-27 00:14:40 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:14:40 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:15:10 [INFO] Epoch 21 loss: 215.82022094726562; train accuracy: 0.8541666666666666; test accuracy: 0.3286 2025-09-27 00:15:10 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:15:10 [INFO] Round 21 Finish--------| 2025-09-27 00:15:10 [INFO] Model variance: mean: 0.002032170072197914, sum: 22707.37109375 2025-09-27 00:15:10 [INFO] g_protos_std: 1.0063530206680298 2025-09-27 00:15:17 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.5987 2025-09-27 00:15:17 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:15:17 [INFO] Round 22 starts--------| 2025-09-27 00:15:17 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:16:11 [INFO] Epoch 22 loss: 399.8430314064026; train accuracy: 0.8285627693965517; test accuracy: 0.4855 2025-09-27 00:16:11 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:16:11 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:16:25 [INFO] Epoch 22 loss: 94.36763668060303; train accuracy: 0.8601262019230769; test accuracy: 0.153 2025-09-27 00:16:25 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:16:25 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:16:38 [INFO] Epoch 22 loss: 83.81017446517944; train accuracy: 0.8524502840909091; test accuracy: 0.1044 2025-09-27 00:16:38 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:16:38 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:17:23 [INFO] Epoch 22 loss: 325.93449687957764; train accuracy: 0.7742686170212766; test accuracy: 0.389 2025-09-27 00:17:23 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:17:23 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:17:51 [INFO] Epoch 22 loss: 211.3191695213318; train accuracy: 0.8233072916666667; test accuracy: 0.2941 2025-09-27 00:17:51 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:17:51 [INFO] Round 22 Finish--------| 2025-09-27 00:17:51 [INFO] Model variance: mean: 0.002083417261019349, sum: 23280.00390625 2025-09-27 00:17:51 [INFO] g_protos_std: 1.0063650608062744 2025-09-27 00:17:58 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.5742 2025-09-27 00:17:58 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:17:58 [INFO] Round 23 starts--------| 2025-09-27 00:17:58 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:18:50 [INFO] Epoch 23 loss: 396.18282747268677; train accuracy: 0.8396753771551724; test accuracy: 0.4911 2025-09-27 00:18:50 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:18:50 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:19:05 [INFO] Epoch 23 loss: 93.85739469528198; train accuracy: 0.8530649038461539; test accuracy: 0.1698 2025-09-27 00:19:05 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:19:05 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:19:17 [INFO] Epoch 23 loss: 83.31578397750854; train accuracy: 0.8655894886363636; test accuracy: 0.1248 2025-09-27 00:19:17 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:19:17 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:20:01 [INFO] Epoch 23 loss: 333.281210899353; train accuracy: 0.8047290558510638; test accuracy: 0.4005 2025-09-27 00:20:01 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:20:01 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:20:31 [INFO] Epoch 23 loss: 216.81527471542358; train accuracy: 0.8515625; test accuracy: 0.3173 2025-09-27 00:20:31 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:20:31 [INFO] Round 23 Finish--------| 2025-09-27 00:20:31 [INFO] Model variance: mean: 0.002130168257281184, sum: 23802.3984375 2025-09-27 00:20:31 [INFO] g_protos_std: 1.006368637084961 2025-09-27 00:20:37 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.5781 2025-09-27 00:20:37 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:20:37 [INFO] Round 24 starts--------| 2025-09-27 00:20:37 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:21:28 [INFO] Epoch 24 loss: 386.7457685470581; train accuracy: 0.8061355064655172; test accuracy: 0.4743 2025-09-27 00:21:28 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:21:28 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:21:42 [INFO] Epoch 24 loss: 92.18154573440552; train accuracy: 0.9148137019230769; test accuracy: 0.1853 2025-09-27 00:21:42 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:21:42 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:21:55 [INFO] Epoch 24 loss: 84.18938827514648; train accuracy: 0.8006036931818182; test accuracy: 0.1346 2025-09-27 00:21:55 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:21:55 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:22:41 [INFO] Epoch 24 loss: 323.7904644012451; train accuracy: 0.846908244680851; test accuracy: 0.4203 2025-09-27 00:22:41 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:22:41 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:23:11 [INFO] Epoch 24 loss: 212.77503108978271; train accuracy: 0.8412760416666667; test accuracy: 0.3261 2025-09-27 00:23:11 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:23:11 [INFO] Round 24 Finish--------| 2025-09-27 00:23:11 [INFO] Model variance: mean: 0.0021789914462715387, sum: 24347.9453125 2025-09-27 00:23:11 [INFO] g_protos_std: 1.0063773393630981 2025-09-27 00:23:18 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.586 2025-09-27 00:23:18 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:23:18 [INFO] Round 25 starts--------| 2025-09-27 00:23:18 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:24:16 [INFO] Epoch 25 loss: 394.39940643310547; train accuracy: 0.777276400862069; test accuracy: 0.4526 2025-09-27 00:24:16 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_0/epoch_25.pth 2025-09-27 00:24:16 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:24:16 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:24:32 [INFO] Epoch 25 loss: 93.07852029800415; train accuracy: 0.9005408653846154; test accuracy: 0.1689 2025-09-27 00:24:33 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_1/epoch_25.pth 2025-09-27 00:24:33 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:24:33 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:24:45 [INFO] Epoch 25 loss: 83.76228141784668; train accuracy: 0.849609375; test accuracy: 0.1001 2025-09-27 00:24:45 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_2/epoch_25.pth 2025-09-27 00:24:45 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:24:45 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:25:31 [INFO] Epoch 25 loss: 321.15158557891846; train accuracy: 0.8003656914893617; test accuracy: 0.3962 2025-09-27 00:25:32 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_3/epoch_25.pth 2025-09-27 00:25:32 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:25:32 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:26:01 [INFO] Epoch 25 loss: 211.62313318252563; train accuracy: 0.8207682291666667; test accuracy: 0.2952 2025-09-27 00:26:02 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_4/epoch_25.pth 2025-09-27 00:26:02 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:26:02 [INFO] Round 25 Finish--------| 2025-09-27 00:26:02 [INFO] Model variance: mean: 0.002224983647465706, sum: 24861.859375 2025-09-27 00:26:02 [INFO] g_protos_std: 1.0063836574554443 2025-09-27 00:26:09 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6037 2025-09-27 00:26:09 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:26:09 [INFO] Round 26 starts--------| 2025-09-27 00:26:09 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:27:04 [INFO] Epoch 26 loss: 391.22765731811523; train accuracy: 0.8525390625; test accuracy: 0.4989 2025-09-27 00:27:04 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:27:04 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:27:19 [INFO] Epoch 26 loss: 93.15340375900269; train accuracy: 0.8817608173076923; test accuracy: 0.1722 2025-09-27 00:27:19 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:27:19 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:27:32 [INFO] Epoch 26 loss: 83.52593278884888; train accuracy: 0.8517400568181818; test accuracy: 0.1021 2025-09-27 00:27:32 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:27:32 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:28:16 [INFO] Epoch 26 loss: 324.46802043914795; train accuracy: 0.8309923537234043; test accuracy: 0.4121 2025-09-27 00:28:16 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:28:16 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:28:46 [INFO] Epoch 26 loss: 213.24757480621338; train accuracy: 0.73984375; test accuracy: 0.2558 2025-09-27 00:28:46 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:28:46 [INFO] Round 26 Finish--------| 2025-09-27 00:28:46 [INFO] Model variance: mean: 0.002270340919494629, sum: 25368.6796875 2025-09-27 00:28:46 [INFO] g_protos_std: 1.0063903331756592 2025-09-27 00:28:53 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.5995 2025-09-27 00:28:53 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:28:53 [INFO] Round 27 starts--------| 2025-09-27 00:28:53 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:29:48 [INFO] Epoch 27 loss: 387.99397325515747; train accuracy: 0.8478919719827587; test accuracy: 0.4988 2025-09-27 00:29:48 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:29:48 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:30:03 [INFO] Epoch 27 loss: 92.69943523406982; train accuracy: 0.8826622596153846; test accuracy: 0.1654 2025-09-27 00:30:03 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:30:03 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:30:14 [INFO] Epoch 27 loss: 83.44178485870361; train accuracy: 0.8671875; test accuracy: 0.1178 2025-09-27 00:30:14 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:30:14 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:31:01 [INFO] Epoch 27 loss: 316.73859167099; train accuracy: 0.8914561170212766; test accuracy: 0.4404 2025-09-27 00:31:01 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:31:01 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:31:30 [INFO] Epoch 27 loss: 210.3191738128662; train accuracy: 0.7553385416666667; test accuracy: 0.2478 2025-09-27 00:31:30 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:31:30 [INFO] Round 27 Finish--------| 2025-09-27 00:31:30 [INFO] Model variance: mean: 0.002317673759534955, sum: 25897.576171875 2025-09-27 00:31:30 [INFO] g_protos_std: 1.0063999891281128 2025-09-27 00:31:37 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6064 2025-09-27 00:31:37 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:31:37 [INFO] Round 28 starts--------| 2025-09-27 00:31:37 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:32:29 [INFO] Epoch 28 loss: 382.6551718711853; train accuracy: 0.7655239762931034; test accuracy: 0.4514 2025-09-27 00:32:29 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:32:29 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:32:42 [INFO] Epoch 28 loss: 92.47726202011108; train accuracy: 0.8816105769230769; test accuracy: 0.1716 2025-09-27 00:32:42 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:32:42 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:32:54 [INFO] Epoch 28 loss: 83.30742502212524; train accuracy: 0.8568892045454546; test accuracy: 0.1087 2025-09-27 00:32:54 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:32:54 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:33:38 [INFO] Epoch 28 loss: 311.2908205986023; train accuracy: 0.8485289228723404; test accuracy: 0.4212 2025-09-27 00:33:38 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:33:38 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:34:06 [INFO] Epoch 28 loss: 208.65244722366333; train accuracy: 0.7408203125; test accuracy: 0.2562 2025-09-27 00:34:06 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:34:06 [INFO] Round 28 Finish--------| 2025-09-27 00:34:06 [INFO] Model variance: mean: 0.002363450126722455, sum: 26409.078125 2025-09-27 00:34:06 [INFO] g_protos_std: 1.0064080953598022 2025-09-27 00:34:13 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6066 2025-09-27 00:34:13 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:34:13 [INFO] Round 29 starts--------| 2025-09-27 00:34:13 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:35:07 [INFO] Epoch 29 loss: 384.7759475708008; train accuracy: 0.8782327586206896; test accuracy: 0.5139 2025-09-27 00:35:07 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:35:07 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:35:22 [INFO] Epoch 29 loss: 92.1390209197998; train accuracy: 0.7961237980769231; test accuracy: 0.1712 2025-09-27 00:35:22 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:35:22 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:35:34 [INFO] Epoch 29 loss: 83.14386940002441; train accuracy: 0.8545809659090909; test accuracy: 0.1048 2025-09-27 00:35:34 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:35:34 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:36:18 [INFO] Epoch 29 loss: 314.8351697921753; train accuracy: 0.8600398936170213; test accuracy: 0.4213 2025-09-27 00:36:18 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:36:18 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:36:47 [INFO] Epoch 29 loss: 206.7442445755005; train accuracy: 0.8214192708333333; test accuracy: 0.2848 2025-09-27 00:36:47 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:36:47 [INFO] Round 29 Finish--------| 2025-09-27 00:36:47 [INFO] Model variance: mean: 0.0024070253130048513, sum: 26895.984375 2025-09-27 00:36:47 [INFO] g_protos_std: 1.0064115524291992 2025-09-27 00:36:54 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6165 2025-09-27 00:36:54 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:36:54 [INFO] Round 30 starts--------| 2025-09-27 00:36:54 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:37:49 [INFO] Epoch 30 loss: 378.06657314300537; train accuracy: 0.7613146551724138; test accuracy: 0.4433 2025-09-27 00:37:50 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_0/epoch_30.pth 2025-09-27 00:37:50 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:37:50 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:38:03 [INFO] Epoch 30 loss: 92.63226366043091; train accuracy: 0.8646334134615384; test accuracy: 0.1539 2025-09-27 00:38:04 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_1/epoch_30.pth 2025-09-27 00:38:04 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:38:04 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:38:17 [INFO] Epoch 30 loss: 83.79803657531738; train accuracy: 0.8499644886363636; test accuracy: 0.1029 2025-09-27 00:38:18 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_2/epoch_30.pth 2025-09-27 00:38:18 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:38:18 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:39:07 [INFO] Epoch 30 loss: 318.02126836776733; train accuracy: 0.9005984042553191; test accuracy: 0.4439 2025-09-27 00:39:07 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_3/epoch_30.pth 2025-09-27 00:39:07 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:39:07 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:39:37 [INFO] Epoch 30 loss: 206.58536672592163; train accuracy: 0.817578125; test accuracy: 0.3085 2025-09-27 00:39:37 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_4/epoch_30.pth 2025-09-27 00:39:37 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:39:37 [INFO] Round 30 Finish--------| 2025-09-27 00:39:37 [INFO] Model variance: mean: 0.00245044962503016, sum: 27381.20703125 2025-09-27 00:39:37 [INFO] g_protos_std: 1.0064173936843872 2025-09-27 00:39:44 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6138 2025-09-27 00:39:44 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:39:44 [INFO] Round 31 starts--------| 2025-09-27 00:39:44 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:40:39 [INFO] Epoch 31 loss: 385.6220541000366; train accuracy: 0.8323679956896551; test accuracy: 0.48 2025-09-27 00:40:39 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:40:39 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:40:52 [INFO] Epoch 31 loss: 92.45506143569946; train accuracy: 0.8186598557692307; test accuracy: 0.1366 2025-09-27 00:40:52 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:40:52 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:41:04 [INFO] Epoch 31 loss: 82.54034423828125; train accuracy: 0.8716264204545454; test accuracy: 0.1211 2025-09-27 00:41:04 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:41:04 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:41:47 [INFO] Epoch 31 loss: 316.6621551513672; train accuracy: 0.8822307180851063; test accuracy: 0.4315 2025-09-27 00:41:47 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:41:47 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:42:15 [INFO] Epoch 31 loss: 208.8966579437256; train accuracy: 0.7587890625; test accuracy: 0.2893 2025-09-27 00:42:15 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:42:15 [INFO] Round 31 Finish--------| 2025-09-27 00:42:15 [INFO] Model variance: mean: 0.002493303967639804, sum: 27860.05859375 2025-09-27 00:42:15 [INFO] g_protos_std: 1.0064247846603394 2025-09-27 00:42:22 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6318 2025-09-27 00:42:22 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:42:22 [INFO] Round 32 starts--------| 2025-09-27 00:42:22 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:43:17 [INFO] Epoch 32 loss: 373.7451434135437; train accuracy: 0.863348599137931; test accuracy: 0.5003 2025-09-27 00:43:17 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:43:17 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:43:32 [INFO] Epoch 32 loss: 91.74552536010742; train accuracy: 0.916015625; test accuracy: 0.1856 2025-09-27 00:43:32 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:43:32 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:43:45 [INFO] Epoch 32 loss: 83.53830051422119; train accuracy: 0.8702059659090909; test accuracy: 0.1253 2025-09-27 00:43:45 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:43:45 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:44:29 [INFO] Epoch 32 loss: 312.1923246383667; train accuracy: 0.8719664228723404; test accuracy: 0.4333 2025-09-27 00:44:29 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:44:29 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:44:59 [INFO] Epoch 32 loss: 206.79172039031982; train accuracy: 0.8524088541666667; test accuracy: 0.3013 2025-09-27 00:44:59 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:44:59 [INFO] Round 32 Finish--------| 2025-09-27 00:44:59 [INFO] Model variance: mean: 0.002536072861403227, sum: 28337.95703125 2025-09-27 00:44:59 [INFO] g_protos_std: 1.0064313411712646 2025-09-27 00:45:07 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.628 2025-09-27 00:45:07 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:45:07 [INFO] Round 33 starts--------| 2025-09-27 00:45:07 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:45:58 [INFO] Epoch 33 loss: 380.8560953140259; train accuracy: 0.790106411637931; test accuracy: 0.4604 2025-09-27 00:45:58 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:45:58 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:46:11 [INFO] Epoch 33 loss: 91.49785470962524; train accuracy: 0.8698918269230769; test accuracy: 0.1748 2025-09-27 00:46:11 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:46:11 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:46:23 [INFO] Epoch 33 loss: 82.41907501220703; train accuracy: 0.849609375; test accuracy: 0.1192 2025-09-27 00:46:23 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:46:23 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:47:06 [INFO] Epoch 33 loss: 317.8195996284485; train accuracy: 0.8152842420212766; test accuracy: 0.4075 2025-09-27 00:47:06 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:47:06 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:47:32 [INFO] Epoch 33 loss: 206.51858806610107; train accuracy: 0.8018880208333333; test accuracy: 0.3217 2025-09-27 00:47:32 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:47:32 [INFO] Round 33 Finish--------| 2025-09-27 00:47:32 [INFO] Model variance: mean: 0.0025761222932487726, sum: 28785.466796875 2025-09-27 00:47:32 [INFO] g_protos_std: 1.0064325332641602 2025-09-27 00:47:39 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6318 2025-09-27 00:47:39 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:47:39 [INFO] Round 34 starts--------| 2025-09-27 00:47:39 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:48:27 [INFO] Epoch 34 loss: 373.6003637313843; train accuracy: 0.8938914331896551; test accuracy: 0.5185 2025-09-27 00:48:27 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:48:27 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:48:40 [INFO] Epoch 34 loss: 91.75609159469604; train accuracy: 0.9110576923076923; test accuracy: 0.1775 2025-09-27 00:48:40 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:48:40 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:48:51 [INFO] Epoch 34 loss: 83.00228071212769; train accuracy: 0.5706676136363636; test accuracy: 0.1272 2025-09-27 00:48:51 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:48:51 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:49:35 [INFO] Epoch 34 loss: 310.228000164032; train accuracy: 0.8731715425531915; test accuracy: 0.4331 2025-09-27 00:49:35 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:49:35 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:50:02 [INFO] Epoch 34 loss: 207.0062975883484; train accuracy: 0.8560546875; test accuracy: 0.3333 2025-09-27 00:50:02 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:50:02 [INFO] Round 34 Finish--------| 2025-09-27 00:50:02 [INFO] Model variance: mean: 0.002616788726300001, sum: 29239.87109375 2025-09-27 00:50:02 [INFO] g_protos_std: 1.0064361095428467 2025-09-27 00:50:09 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6279 2025-09-27 00:50:09 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:50:09 [INFO] Round 35 starts--------| 2025-09-27 00:50:09 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:50:59 [INFO] Epoch 35 loss: 370.32782793045044; train accuracy: 0.857421875; test accuracy: 0.497 2025-09-27 00:51:00 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_0/epoch_35.pth 2025-09-27 00:51:00 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:51:00 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:51:12 [INFO] Epoch 35 loss: 92.93437147140503; train accuracy: 0.9175180288461539; test accuracy: 0.182 2025-09-27 00:51:13 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_1/epoch_35.pth 2025-09-27 00:51:13 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:51:13 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:51:24 [INFO] Epoch 35 loss: 83.0721926689148; train accuracy: 0.8700284090909091; test accuracy: 0.1192 2025-09-27 00:51:25 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_2/epoch_35.pth 2025-09-27 00:51:25 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:51:25 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:52:05 [INFO] Epoch 35 loss: 313.457603931427; train accuracy: 0.8521027260638298; test accuracy: 0.4213 2025-09-27 00:52:06 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_3/epoch_35.pth 2025-09-27 00:52:06 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:52:06 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:52:32 [INFO] Epoch 35 loss: 205.4862241744995; train accuracy: 0.8797526041666667; test accuracy: 0.3022 2025-09-27 00:52:32 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_4/epoch_35.pth 2025-09-27 00:52:32 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:52:32 [INFO] Round 35 Finish--------| 2025-09-27 00:52:32 [INFO] Model variance: mean: 0.002657872624695301, sum: 29698.94140625 2025-09-27 00:52:32 [INFO] g_protos_std: 1.006441354751587 2025-09-27 00:52:39 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6177 2025-09-27 00:52:39 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:52:39 [INFO] Round 36 starts--------| 2025-09-27 00:52:39 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:53:32 [INFO] Epoch 36 loss: 373.077552318573; train accuracy: 0.8591729525862069; test accuracy: 0.4997 2025-09-27 00:53:32 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:53:32 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:53:46 [INFO] Epoch 36 loss: 91.80331802368164; train accuracy: 0.8529146634615384; test accuracy: 0.1818 2025-09-27 00:53:46 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:53:46 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:53:57 [INFO] Epoch 36 loss: 82.83817148208618; train accuracy: 0.8501420454545454; test accuracy: 0.1012 2025-09-27 00:53:57 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:53:57 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:54:38 [INFO] Epoch 36 loss: 309.24503231048584; train accuracy: 0.9087433510638298; test accuracy: 0.4496 2025-09-27 00:54:38 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:54:38 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:55:05 [INFO] Epoch 36 loss: 206.97041511535645; train accuracy: 0.8704427083333334; test accuracy: 0.343 2025-09-27 00:55:05 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:55:05 [INFO] Round 36 Finish--------| 2025-09-27 00:55:05 [INFO] Model variance: mean: 0.002696861047297716, sum: 30134.595703125 2025-09-27 00:55:05 [INFO] g_protos_std: 1.0064425468444824 2025-09-27 00:55:12 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6307 2025-09-27 00:55:12 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:55:12 [INFO] Round 37 starts--------| 2025-09-27 00:55:12 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:56:07 [INFO] Epoch 37 loss: 372.23064517974854; train accuracy: 0.8498450969827587; test accuracy: 0.495 2025-09-27 00:56:07 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:56:07 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:56:23 [INFO] Epoch 37 loss: 91.52289390563965; train accuracy: 0.9112079326923077; test accuracy: 0.1757 2025-09-27 00:56:23 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:56:23 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:56:35 [INFO] Epoch 37 loss: 82.56837606430054; train accuracy: 0.8609730113636364; test accuracy: 0.109 2025-09-27 00:56:35 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:56:35 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 00:57:18 [INFO] Epoch 37 loss: 305.6858563423157; train accuracy: 0.8624501329787234; test accuracy: 0.422 2025-09-27 00:57:18 [INFO] Client 3 Finish Local Training--------| 2025-09-27 00:57:18 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 00:57:49 [INFO] Epoch 37 loss: 206.16841173171997; train accuracy: 0.8169921875; test accuracy: 0.3478 2025-09-27 00:57:49 [INFO] Client 4 Finish Local Training--------| 2025-09-27 00:57:49 [INFO] Round 37 Finish--------| 2025-09-27 00:57:49 [INFO] Model variance: mean: 0.002735842252150178, sum: 30570.169921875 2025-09-27 00:57:49 [INFO] g_protos_std: 1.006447434425354 2025-09-27 00:57:56 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6279 2025-09-27 00:57:56 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 00:57:56 [INFO] Round 38 starts--------| 2025-09-27 00:57:56 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 00:58:48 [INFO] Epoch 38 loss: 371.6551480293274; train accuracy: 0.8266096443965517; test accuracy: 0.4805 2025-09-27 00:58:48 [INFO] Client 0 Finish Local Training--------| 2025-09-27 00:58:48 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 00:59:02 [INFO] Epoch 38 loss: 91.94184684753418; train accuracy: 0.8673377403846154; test accuracy: 0.1895 2025-09-27 00:59:02 [INFO] Client 1 Finish Local Training--------| 2025-09-27 00:59:02 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 00:59:15 [INFO] Epoch 38 loss: 82.66325378417969; train accuracy: 0.8503196022727273; test accuracy: 0.1021 2025-09-27 00:59:15 [INFO] Client 2 Finish Local Training--------| 2025-09-27 00:59:15 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 01:00:02 [INFO] Epoch 38 loss: 308.3940906524658; train accuracy: 0.9079122340425532; test accuracy: 0.4472 2025-09-27 01:00:02 [INFO] Client 3 Finish Local Training--------| 2025-09-27 01:00:02 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 01:00:33 [INFO] Epoch 38 loss: 203.10561656951904; train accuracy: 0.7919921875; test accuracy: 0.2822 2025-09-27 01:00:33 [INFO] Client 4 Finish Local Training--------| 2025-09-27 01:00:33 [INFO] Round 38 Finish--------| 2025-09-27 01:00:33 [INFO] Model variance: mean: 0.002775000175461173, sum: 31007.71875 2025-09-27 01:00:33 [INFO] g_protos_std: 1.0064510107040405 2025-09-27 01:00:40 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6365 2025-09-27 01:00:40 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 01:00:40 [INFO] Round 39 starts--------| 2025-09-27 01:00:40 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 01:01:35 [INFO] Epoch 39 loss: 363.2020320892334; train accuracy: 0.873114224137931; test accuracy: 0.5066 2025-09-27 01:01:35 [INFO] Client 0 Finish Local Training--------| 2025-09-27 01:01:35 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 01:01:50 [INFO] Epoch 39 loss: 92.1110110282898; train accuracy: 0.8383413461538461; test accuracy: 0.1769 2025-09-27 01:01:50 [INFO] Client 1 Finish Local Training--------| 2025-09-27 01:01:50 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 01:02:02 [INFO] Epoch 39 loss: 82.62419176101685; train accuracy: 0.865234375; test accuracy: 0.1134 2025-09-27 01:02:02 [INFO] Client 2 Finish Local Training--------| 2025-09-27 01:02:02 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 01:02:50 [INFO] Epoch 39 loss: 307.89513540267944; train accuracy: 0.8866356382978723; test accuracy: 0.4415 2025-09-27 01:02:50 [INFO] Client 3 Finish Local Training--------| 2025-09-27 01:02:50 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 01:03:20 [INFO] Epoch 39 loss: 206.72024869918823; train accuracy: 0.9050130208333333; test accuracy: 0.3477 2025-09-27 01:03:20 [INFO] Client 4 Finish Local Training--------| 2025-09-27 01:03:20 [INFO] Round 39 Finish--------| 2025-09-27 01:03:20 [INFO] Model variance: mean: 0.0028126405086368322, sum: 31428.310546875 2025-09-27 01:03:20 [INFO] g_protos_std: 1.0064560174942017 2025-09-27 01:03:27 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6493 2025-09-27 01:03:27 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 01:03:27 [INFO] Round 40 starts--------| 2025-09-27 01:03:27 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 01:04:24 [INFO] Epoch 40 loss: 366.68620777130127; train accuracy: 0.8648639547413793; test accuracy: 0.5014 2025-09-27 01:04:24 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_0/epoch_40.pth 2025-09-27 01:04:24 [INFO] Client 0 Finish Local Training--------| 2025-09-27 01:04:24 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 01:04:39 [INFO] Epoch 40 loss: 92.15429925918579; train accuracy: 0.9280348557692307; test accuracy: 0.1813 2025-09-27 01:04:40 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_1/epoch_40.pth 2025-09-27 01:04:40 [INFO] Client 1 Finish Local Training--------| 2025-09-27 01:04:40 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 01:04:52 [INFO] Epoch 40 loss: 82.8153624534607; train accuracy: 0.8639914772727273; test accuracy: 0.1274 2025-09-27 01:04:53 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_2/epoch_40.pth 2025-09-27 01:04:53 [INFO] Client 2 Finish Local Training--------| 2025-09-27 01:04:53 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 01:05:39 [INFO] Epoch 40 loss: 305.7248969078064; train accuracy: 0.8695977393617021; test accuracy: 0.433 2025-09-27 01:05:39 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_3/epoch_40.pth 2025-09-27 01:05:39 [INFO] Client 3 Finish Local Training--------| 2025-09-27 01:05:39 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 01:06:09 [INFO] Epoch 40 loss: 204.11553382873535; train accuracy: 0.8533203125; test accuracy: 0.3185 2025-09-27 01:06:10 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_4/epoch_40.pth 2025-09-27 01:06:10 [INFO] Client 4 Finish Local Training--------| 2025-09-27 01:06:10 [INFO] Round 40 Finish--------| 2025-09-27 01:06:10 [INFO] Model variance: mean: 0.0028510799165815115, sum: 31857.830078125 2025-09-27 01:06:10 [INFO] g_protos_std: 1.0064582824707031 2025-09-27 01:06:17 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6373 2025-09-27 01:06:17 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 01:06:17 [INFO] Round 41 starts--------| 2025-09-27 01:06:17 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 01:07:11 [INFO] Epoch 41 loss: 366.0313386917114; train accuracy: 0.8755051185344828; test accuracy: 0.5049 2025-09-27 01:07:11 [INFO] Client 0 Finish Local Training--------| 2025-09-27 01:07:11 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 01:07:25 [INFO] Epoch 41 loss: 90.52877187728882; train accuracy: 0.84375; test accuracy: 0.1761 2025-09-27 01:07:25 [INFO] Client 1 Finish Local Training--------| 2025-09-27 01:07:25 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 01:07:38 [INFO] Epoch 41 loss: 82.07473278045654; train accuracy: 0.8506747159090909; test accuracy: 0.1 2025-09-27 01:07:38 [INFO] Client 2 Finish Local Training--------| 2025-09-27 01:07:38 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 01:08:23 [INFO] Epoch 41 loss: 307.02445459365845; train accuracy: 0.8944481382978723; test accuracy: 0.4408 2025-09-27 01:08:23 [INFO] Client 3 Finish Local Training--------| 2025-09-27 01:08:23 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 01:08:53 [INFO] Epoch 41 loss: 203.84895133972168; train accuracy: 0.8123046875; test accuracy: 0.3074 2025-09-27 01:08:53 [INFO] Client 4 Finish Local Training--------| 2025-09-27 01:08:53 [INFO] Round 41 Finish--------| 2025-09-27 01:08:53 [INFO] Model variance: mean: 0.002888936083763838, sum: 32280.83203125 2025-09-27 01:08:53 [INFO] g_protos_std: 1.006462574005127 2025-09-27 01:09:00 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6505 2025-09-27 01:09:00 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 01:09:00 [INFO] Round 42 starts--------| 2025-09-27 01:09:00 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 01:09:57 [INFO] Epoch 42 loss: 358.70496225357056; train accuracy: 0.8875942887931034; test accuracy: 0.5124 2025-09-27 01:09:57 [INFO] Client 0 Finish Local Training--------| 2025-09-27 01:09:57 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 01:10:12 [INFO] Epoch 42 loss: 91.67193794250488; train accuracy: 0.9296875; test accuracy: 0.1829 2025-09-27 01:10:12 [INFO] Client 1 Finish Local Training--------| 2025-09-27 01:10:12 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 01:10:24 [INFO] Epoch 42 loss: 81.51253318786621; train accuracy: 0.8726917613636364; test accuracy: 0.1204 2025-09-27 01:10:24 [INFO] Client 2 Finish Local Training--------| 2025-09-27 01:10:24 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 01:11:08 [INFO] Epoch 42 loss: 304.16957235336304; train accuracy: 0.8951961436170213; test accuracy: 0.4457 2025-09-27 01:11:08 [INFO] Client 3 Finish Local Training--------| 2025-09-27 01:11:08 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 01:11:36 [INFO] Epoch 42 loss: 204.25368070602417; train accuracy: 0.7972005208333334; test accuracy: 0.2912 2025-09-27 01:11:36 [INFO] Client 4 Finish Local Training--------| 2025-09-27 01:11:36 [INFO] Round 42 Finish--------| 2025-09-27 01:11:36 [INFO] Model variance: mean: 0.002926087938249111, sum: 32695.96484375 2025-09-27 01:11:36 [INFO] g_protos_std: 1.006469488143921 2025-09-27 01:11:43 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.633 2025-09-27 01:11:43 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 01:11:43 [INFO] Round 43 starts--------| 2025-09-27 01:11:43 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 01:12:36 [INFO] Epoch 43 loss: 363.6434373855591; train accuracy: 0.9052734375; test accuracy: 0.5225 2025-09-27 01:12:36 [INFO] Client 0 Finish Local Training--------| 2025-09-27 01:12:36 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 01:12:50 [INFO] Epoch 43 loss: 90.36396408081055; train accuracy: 0.6341646634615384; test accuracy: 0.1506 2025-09-27 01:12:50 [INFO] Client 1 Finish Local Training--------| 2025-09-27 01:12:50 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 01:13:01 [INFO] Epoch 43 loss: 81.78680753707886; train accuracy: 0.8607954545454546; test accuracy: 0.1106 2025-09-27 01:13:01 [INFO] Client 2 Finish Local Training--------| 2025-09-27 01:13:01 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 01:13:48 [INFO] Epoch 43 loss: 305.4281692504883; train accuracy: 0.8812749335106383; test accuracy: 0.4389 2025-09-27 01:13:48 [INFO] Client 3 Finish Local Training--------| 2025-09-27 01:13:48 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 01:14:17 [INFO] Epoch 43 loss: 203.84454584121704; train accuracy: 0.8560546875; test accuracy: 0.3329 2025-09-27 01:14:17 [INFO] Client 4 Finish Local Training--------| 2025-09-27 01:14:17 [INFO] Round 43 Finish--------| 2025-09-27 01:14:17 [INFO] Model variance: mean: 0.002962341532111168, sum: 33101.0625 2025-09-27 01:14:17 [INFO] g_protos_std: 1.0064697265625 2025-09-27 01:14:23 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6589 2025-09-27 01:14:23 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 01:14:23 [INFO] Round 44 starts--------| 2025-09-27 01:14:23 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 01:15:21 [INFO] Epoch 44 loss: 367.7226457595825; train accuracy: 0.8973262392241379; test accuracy: 0.5187 2025-09-27 01:15:21 [INFO] Client 0 Finish Local Training--------| 2025-09-27 01:15:21 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 01:15:36 [INFO] Epoch 44 loss: 91.20836114883423; train accuracy: 0.5464242788461539; test accuracy: 0.1392 2025-09-27 01:15:36 [INFO] Client 1 Finish Local Training--------| 2025-09-27 01:15:36 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 01:15:47 [INFO] Epoch 44 loss: 82.28959465026855; train accuracy: 0.8734019886363636; test accuracy: 0.1319 2025-09-27 01:15:47 [INFO] Client 2 Finish Local Training--------| 2025-09-27 01:15:47 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 01:16:31 [INFO] Epoch 44 loss: 303.90679836273193; train accuracy: 0.8846825132978723; test accuracy: 0.4467 2025-09-27 01:16:31 [INFO] Client 3 Finish Local Training--------| 2025-09-27 01:16:31 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 01:17:01 [INFO] Epoch 44 loss: 201.47291326522827; train accuracy: 0.8835286458333333; test accuracy: 0.3606 2025-09-27 01:17:01 [INFO] Client 4 Finish Local Training--------| 2025-09-27 01:17:01 [INFO] Round 44 Finish--------| 2025-09-27 01:17:01 [INFO] Model variance: mean: 0.002998024458065629, sum: 33499.78125 2025-09-27 01:17:01 [INFO] g_protos_std: 1.0064728260040283 2025-09-27 01:17:07 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6611 2025-09-27 01:17:07 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 01:17:07 [INFO] Round 45 starts--------| 2025-09-27 01:17:07 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 01:17:58 [INFO] Epoch 45 loss: 364.6031937599182; train accuracy: 0.8636853448275862; test accuracy: 0.5022 2025-09-27 01:17:59 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_0/epoch_45.pth 2025-09-27 01:17:59 [INFO] Client 0 Finish Local Training--------| 2025-09-27 01:17:59 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 01:18:13 [INFO] Epoch 45 loss: 90.89505672454834; train accuracy: 0.8542668269230769; test accuracy: 0.1552 2025-09-27 01:18:13 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_1/epoch_45.pth 2025-09-27 01:18:13 [INFO] Client 1 Finish Local Training--------| 2025-09-27 01:18:13 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 01:18:26 [INFO] Epoch 45 loss: 82.29605150222778; train accuracy: 0.8504971590909091; test accuracy: 0.1 2025-09-27 01:18:27 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_2/epoch_45.pth 2025-09-27 01:18:27 [INFO] Client 2 Finish Local Training--------| 2025-09-27 01:18:27 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 01:19:11 [INFO] Epoch 45 loss: 306.02477979660034; train accuracy: 0.8853058510638298; test accuracy: 0.4392 2025-09-27 01:19:12 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_3/epoch_45.pth 2025-09-27 01:19:12 [INFO] Client 3 Finish Local Training--------| 2025-09-27 01:19:12 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 01:19:40 [INFO] Epoch 45 loss: 205.39554738998413; train accuracy: 0.8222005208333333; test accuracy: 0.3181 2025-09-27 01:19:40 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_4/epoch_45.pth 2025-09-27 01:19:40 [INFO] Client 4 Finish Local Training--------| 2025-09-27 01:19:40 [INFO] Round 45 Finish--------| 2025-09-27 01:19:40 [INFO] Model variance: mean: 0.003032962791621685, sum: 33890.1796875 2025-09-27 01:19:40 [INFO] g_protos_std: 1.0064723491668701 2025-09-27 01:19:47 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6562 2025-09-27 01:19:48 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 01:19:48 [INFO] Round 46 starts--------| 2025-09-27 01:19:48 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 01:20:44 [INFO] Epoch 46 loss: 369.44259119033813; train accuracy: 0.8770878232758621; test accuracy: 0.5088 2025-09-27 01:20:44 [INFO] Client 0 Finish Local Training--------| 2025-09-27 01:20:44 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 01:20:58 [INFO] Epoch 46 loss: 91.72558879852295; train accuracy: 0.8377403846153846; test accuracy: 0.1444 2025-09-27 01:20:58 [INFO] Client 1 Finish Local Training--------| 2025-09-27 01:20:58 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 01:21:09 [INFO] Epoch 46 loss: 82.15665626525879; train accuracy: 0.8524502840909091; test accuracy: 0.1225 2025-09-27 01:21:09 [INFO] Client 2 Finish Local Training--------| 2025-09-27 01:21:09 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 01:21:55 [INFO] Epoch 46 loss: 301.6706666946411; train accuracy: 0.8831449468085106; test accuracy: 0.4375 2025-09-27 01:21:55 [INFO] Client 3 Finish Local Training--------| 2025-09-27 01:21:55 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 01:22:27 [INFO] Epoch 46 loss: 199.49860286712646; train accuracy: 0.825390625; test accuracy: 0.3392 2025-09-27 01:22:27 [INFO] Client 4 Finish Local Training--------| 2025-09-27 01:22:27 [INFO] Round 46 Finish--------| 2025-09-27 01:22:27 [INFO] Model variance: mean: 0.0030681511852890253, sum: 34283.375 2025-09-27 01:22:27 [INFO] g_protos_std: 1.006474256515503 2025-09-27 01:22:34 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6388 2025-09-27 01:22:34 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 01:22:34 [INFO] Round 47 starts--------| 2025-09-27 01:22:34 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 01:23:29 [INFO] Epoch 47 loss: 364.10320377349854; train accuracy: 0.9136247306034483; test accuracy: 0.528 2025-09-27 01:23:29 [INFO] Client 0 Finish Local Training--------| 2025-09-27 01:23:29 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 01:23:45 [INFO] Epoch 47 loss: 90.96263456344604; train accuracy: 0.9441105769230769; test accuracy: 0.1892 2025-09-27 01:23:45 [INFO] Client 1 Finish Local Training--------| 2025-09-27 01:23:45 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 01:23:57 [INFO] Epoch 47 loss: 81.55769681930542; train accuracy: 0.8494318181818182; test accuracy: 0.1003 2025-09-27 01:23:57 [INFO] Client 2 Finish Local Training--------| 2025-09-27 01:23:57 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 01:24:41 [INFO] Epoch 47 loss: 298.83833360671997; train accuracy: 0.8626163563829787; test accuracy: 0.4334 2025-09-27 01:24:41 [INFO] Client 3 Finish Local Training--------| 2025-09-27 01:24:41 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 01:25:11 [INFO] Epoch 47 loss: 200.5836091041565; train accuracy: 0.8145182291666667; test accuracy: 0.3144 2025-09-27 01:25:11 [INFO] Client 4 Finish Local Training--------| 2025-09-27 01:25:11 [INFO] Round 47 Finish--------| 2025-09-27 01:25:11 [INFO] Model variance: mean: 0.003102923510596156, sum: 34671.91796875 2025-09-27 01:25:11 [INFO] g_protos_std: 1.0064809322357178 2025-09-27 01:25:17 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.651 2025-09-27 01:25:17 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 01:25:17 [INFO] Round 48 starts--------| 2025-09-27 01:25:17 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 01:26:10 [INFO] Epoch 48 loss: 354.6913871765137; train accuracy: 0.9226158405172413; test accuracy: 0.5351 2025-09-27 01:26:10 [INFO] Client 0 Finish Local Training--------| 2025-09-27 01:26:10 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 01:26:24 [INFO] Epoch 48 loss: 90.89993715286255; train accuracy: 0.6236478365384616; test accuracy: 0.1477 2025-09-27 01:26:24 [INFO] Client 1 Finish Local Training--------| 2025-09-27 01:26:24 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 01:26:36 [INFO] Epoch 48 loss: 81.76653051376343; train accuracy: 0.8716264204545454; test accuracy: 0.1391 2025-09-27 01:26:36 [INFO] Client 2 Finish Local Training--------| 2025-09-27 01:26:36 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 01:27:20 [INFO] Epoch 48 loss: 295.8882899284363; train accuracy: 0.8491938164893617; test accuracy: 0.4252 2025-09-27 01:27:20 [INFO] Client 3 Finish Local Training--------| 2025-09-27 01:27:20 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 01:27:49 [INFO] Epoch 48 loss: 199.48086023330688; train accuracy: 0.8603515625; test accuracy: 0.3243 2025-09-27 01:27:49 [INFO] Client 4 Finish Local Training--------| 2025-09-27 01:27:49 [INFO] Round 48 Finish--------| 2025-09-27 01:27:49 [INFO] Model variance: mean: 0.0031382516026496887, sum: 35066.671875 2025-09-27 01:27:49 [INFO] g_protos_std: 1.0064903497695923 2025-09-27 01:27:56 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6578 2025-09-27 01:27:56 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 01:27:56 [INFO] Round 49 starts--------| 2025-09-27 01:27:56 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 01:28:49 [INFO] Epoch 49 loss: 359.83850383758545; train accuracy: 0.8908270474137931; test accuracy: 0.5161 2025-09-27 01:28:49 [INFO] Client 0 Finish Local Training--------| 2025-09-27 01:28:49 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 01:29:03 [INFO] Epoch 49 loss: 90.43944692611694; train accuracy: 0.9465144230769231; test accuracy: 0.1969 2025-09-27 01:29:03 [INFO] Client 1 Finish Local Training--------| 2025-09-27 01:29:03 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 01:29:16 [INFO] Epoch 49 loss: 82.20975351333618; train accuracy: 0.8588423295454546; test accuracy: 0.1081 2025-09-27 01:29:16 [INFO] Client 2 Finish Local Training--------| 2025-09-27 01:29:16 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 01:30:01 [INFO] Epoch 49 loss: 294.64174365997314; train accuracy: 0.9072057845744681; test accuracy: 0.4475 2025-09-27 01:30:01 [INFO] Client 3 Finish Local Training--------| 2025-09-27 01:30:01 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 01:30:30 [INFO] Epoch 49 loss: 198.00149059295654; train accuracy: 0.8106119791666667; test accuracy: 0.3168 2025-09-27 01:30:30 [INFO] Client 4 Finish Local Training--------| 2025-09-27 01:30:30 [INFO] Round 49 Finish--------| 2025-09-27 01:30:30 [INFO] Model variance: mean: 0.0031718676909804344, sum: 35442.296875 2025-09-27 01:30:30 [INFO] g_protos_std: 1.0064884424209595 2025-09-27 01:30:38 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6597 2025-09-27 01:30:38 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml 2025-09-27 01:30:38 [INFO] Round 50 starts--------| 2025-09-27 01:30:38 [INFO] Client 0 Starts Local Trainning--------| 2025-09-27 01:31:32 [INFO] Epoch 50 loss: 359.4035873413086; train accuracy: 0.9098195043103449; test accuracy: 0.526 2025-09-27 01:31:33 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_0/epoch_50.pth 2025-09-27 01:31:33 [INFO] Client 0 Finish Local Training--------| 2025-09-27 01:31:33 [INFO] Client 1 Starts Local Trainning--------| 2025-09-27 01:31:46 [INFO] Epoch 50 loss: 91.33763074874878; train accuracy: 0.8969350961538461; test accuracy: 0.188 2025-09-27 01:31:46 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_1/epoch_50.pth 2025-09-27 01:31:46 [INFO] Client 1 Finish Local Training--------| 2025-09-27 01:31:46 [INFO] Client 2 Starts Local Trainning--------| 2025-09-27 01:31:59 [INFO] Epoch 50 loss: 81.91410779953003; train accuracy: 0.8467684659090909; test accuracy: 0.1501 2025-09-27 01:31:59 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_2/epoch_50.pth 2025-09-27 01:31:59 [INFO] Client 2 Finish Local Training--------| 2025-09-27 01:31:59 [INFO] Client 3 Starts Local Trainning--------| 2025-09-27 01:32:43 [INFO] Epoch 50 loss: 299.49488592147827; train accuracy: 0.9119015957446809; test accuracy: 0.4598 2025-09-27 01:32:43 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_3/epoch_50.pth 2025-09-27 01:32:43 [INFO] Client 3 Finish Local Training--------| 2025-09-27 01:32:43 [INFO] Client 4 Starts Local Trainning--------| 2025-09-27 01:33:11 [INFO] Epoch 50 loss: 203.69611835479736; train accuracy: 0.7935546875; test accuracy: 0.2892 2025-09-27 01:33:12 [INFO] Save the model in ./checkpoints/CIFAR10_alpha0.05/local_models/client_4/epoch_50.pth 2025-09-27 01:33:12 [INFO] Client 4 Finish Local Training--------| 2025-09-27 01:33:12 [INFO] Round 50 Finish--------| 2025-09-27 01:33:12 [INFO] Model variance: mean: 0.0032039445359259844, sum: 35800.72265625 2025-09-27 01:33:12 [INFO] g_protos_std: 1.006486415863037 2025-09-27 01:33:19 [INFO] The test accuracy (with prototype) of OneShotOursV8+Ensemble: 0.6558 2025-09-27 01:33:19 [INFO] Save config to ./checkpoints/CIFAR10_alpha0.05/baselines_OneShotOursV8+Ensemble_CIFAR10_results.yaml