[2025-11-27 08:44:36] Namespace(method='FedAvg', training_mode='head', dataset='cifar10', model_name='resnet18', seed=2, rounds=50, num_clients=10, fraction=0.5, local_epochs=1, batch_size=64, lr=0.01, newton_lr=0.1, sophia_lr=0.05, rho=0.04, betas='0.9,0.99', mu=0.01, log_dir='runs/run_20251127_001740_resnet18_head/cifar10/logs', optimizer='sgd', hessian_batches=32, damping=0.01, alpha=10.0)
[2025-11-27 08:44:36] Start: FedAvg | Mode: head | Dataset: cifar10 | Device: cuda
[2025-11-27 08:48:34] [Round 001] FedAvg | Acc: 73.90% | Loss: 1.1316 | Time: 125.51s | Max GPU Mem: 1482.23 MB
[2025-11-27 08:50:19] [Round 002] FedAvg | Acc: 77.50% | Loss: 0.8673 | Time: 105.09s | Max GPU Mem: 1482.25 MB
[2025-11-27 08:52:19] [Round 003] FedAvg | Acc: 79.12% | Loss: 0.7440 | Time: 119.66s | Max GPU Mem: 1482.29 MB
[2025-11-27 08:53:59] [Round 004] FedAvg | Acc: 79.66% | Loss: 0.6874 | Time: 99.54s | Max GPU Mem: 1482.31 MB
[2025-11-27 08:55:28] [Round 005] FedAvg | Acc: 80.00% | Loss: 0.6500 | Time: 89.09s | Max GPU Mem: 1482.31 MB
[2025-11-27 08:57:25] [Round 006] FedAvg | Acc: 80.43% | Loss: 0.6224 | Time: 117.62s | Max GPU Mem: 1482.33 MB
[2025-11-27 08:59:08] [Round 007] FedAvg | Acc: 80.95% | Loss: 0.5997 | Time: 102.79s | Max GPU Mem: 1482.33 MB
[2025-11-27 09:00:50] [Round 008] FedAvg | Acc: 81.67% | Loss: 0.5797 | Time: 101.70s | Max GPU Mem: 1482.33 MB
[2025-11-27 09:02:02] [Round 009] FedAvg | Acc: 81.89% | Loss: 0.5629 | Time: 71.81s | Max GPU Mem: 1482.33 MB
[2025-11-27 09:03:38] [Round 010] FedAvg | Acc: 82.10% | Loss: 0.5519 | Time: 96.39s | Max GPU Mem: 1482.33 MB
