[2025-11-27 08:44:11] Namespace(method='FedAvg', training_mode='head', dataset='cifar10', model_name='resnet18', seed=0, 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 08:44:11] Start: FedAvg | Mode: head | Dataset: cifar10 | Device: cuda
[2025-11-27 08:46:22] [Round 001] FedAvg | Acc: 74.84% | Loss: 1.1377 | Time: 16.91s | Max GPU Mem: 1482.23 MB
[2025-11-27 08:47:31] [Round 002] FedAvg | Acc: 77.35% | Loss: 0.8684 | Time: 68.67s | Max GPU Mem: 1482.27 MB
[2025-11-27 08:48:58] [Round 003] FedAvg | Acc: 79.14% | Loss: 0.7487 | Time: 86.48s | Max GPU Mem: 1482.33 MB
[2025-11-27 08:50:25] [Round 004] FedAvg | Acc: 78.87% | Loss: 0.7040 | Time: 86.93s | Max GPU Mem: 1482.33 MB
[2025-11-27 08:52:11] [Round 005] FedAvg | Acc: 80.01% | Loss: 0.6558 | Time: 106.08s | Max GPU Mem: 1482.33 MB
[2025-11-27 08:53:46] [Round 006] FedAvg | Acc: 80.65% | Loss: 0.6266 | Time: 95.44s | Max GPU Mem: 1482.33 MB
[2025-11-27 08:54:53] [Round 007] FedAvg | Acc: 80.82% | Loss: 0.6080 | Time: 67.07s | Max GPU Mem: 1482.33 MB
[2025-11-27 08:56:48] [Round 008] FedAvg | Acc: 81.23% | Loss: 0.5868 | Time: 114.38s | Max GPU Mem: 1482.33 MB
[2025-11-27 08:58:20] [Round 009] FedAvg | Acc: 82.10% | Loss: 0.5626 | Time: 92.99s | Max GPU Mem: 1482.33 MB
[2025-11-27 08:59:50] [Round 010] FedAvg | Acc: 82.09% | Loss: 0.5543 | Time: 89.91s | Max GPU Mem: 1482.33 MB
[2025-11-27 09:01:53] [Round 011] FedAvg | Acc: 82.28% | Loss: 0.5443 | Time: 122.82s | Max GPU Mem: 1482.33 MB
[2025-11-27 09:03:34] [Round 012] FedAvg | Acc: 82.48% | Loss: 0.5369 | Time: 100.64s | Max GPU Mem: 1482.33 MB
