[2025-11-27 08:44:36] Namespace(method='FedAvg', training_mode='head', dataset='cifar10', model_name='resnet18', seed=1, 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 08:48:31] [Round 001] FedAvg | Acc: 72.73% | Loss: 1.1367 | Time: 122.45s | Max GPU Mem: 1482.23 MB
[2025-11-27 08:50:18] [Round 002] FedAvg | Acc: 77.76% | Loss: 0.8649 | Time: 107.10s | Max GPU Mem: 1482.29 MB
[2025-11-27 08:52:13] [Round 003] FedAvg | Acc: 78.51% | Loss: 0.7591 | Time: 115.18s | Max GPU Mem: 1482.33 MB
[2025-11-27 08:53:53] [Round 004] FedAvg | Acc: 79.89% | Loss: 0.6898 | Time: 99.27s | Max GPU Mem: 1482.33 MB
[2025-11-27 08:55:22] [Round 005] FedAvg | Acc: 79.67% | Loss: 0.6612 | Time: 89.47s | Max GPU Mem: 1482.33 MB
[2025-11-27 08:56:49] [Round 006] FedAvg | Acc: 80.59% | Loss: 0.6243 | Time: 86.55s | Max GPU Mem: 1482.33 MB
[2025-11-27 08:58:15] [Round 007] FedAvg | Acc: 80.59% | Loss: 0.6092 | Time: 86.81s | Max GPU Mem: 1482.33 MB
[2025-11-27 08:59:47] [Round 008] FedAvg | Acc: 81.30% | Loss: 0.5833 | Time: 91.42s | Max GPU Mem: 1482.33 MB
[2025-11-27 09:01:12] [Round 009] FedAvg | Acc: 81.56% | Loss: 0.5694 | Time: 85.00s | Max GPU Mem: 1482.33 MB
[2025-11-27 09:02:15] [Round 010] FedAvg | Acc: 81.64% | Loss: 0.5604 | Time: 63.08s | Max GPU Mem: 1482.33 MB
[2025-11-27 09:03:46] [Round 011] FedAvg | Acc: 81.46% | Loss: 0.5539 | Time: 90.61s | Max GPU Mem: 1482.33 MB
