[2025-11-30 01:27:06] Namespace(method='FedNewton', training_mode='head', dataset='cifar10', model_name='tv_resnet50', 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/compare_solvers_20251129_235013_tv_resnet50_head/cifar10/logs/exact', optimizer='sgd', hessian_batches=64, damping=0.0001, alpha=0.5, max_norm=0, newton_solver='exact', newton_cg_max_iter=10, lbfgs_m=5)
[2025-11-30 01:27:06] Start: FedNewton | Mode: head | Dataset: cifar10 | Solver: exact
[2025-11-30 01:30:18] [Round 001] FedNewton (Solver: exact) | Acc: 79.45% | Loss: 0.7658 | Time: 76.62s | Max GPU Mem: 11023.60 MB
[2025-11-30 01:31:52] [Round 002] FedNewton (Solver: exact) | Acc: 87.02% | Loss: 0.4626 | Time: 93.91s | Max GPU Mem: 11016.88 MB
[2025-11-30 01:33:26] [Round 003] FedNewton (Solver: exact) | Acc: 89.23% | Loss: 0.3593 | Time: 93.30s | Max GPU Mem: 11017.88 MB
[2025-11-30 01:35:02] [Round 004] FedNewton (Solver: exact) | Acc: 89.65% | Loss: 0.3092 | Time: 96.37s | Max GPU Mem: 11017.96 MB
[2025-11-30 01:36:45] [Round 005] FedNewton (Solver: exact) | Acc: 89.32% | Loss: 0.3196 | Time: 103.28s | Max GPU Mem: 11018.04 MB
[2025-11-30 01:38:25] [Round 006] FedNewton (Solver: exact) | Acc: 86.91% | Loss: 0.4793 | Time: 100.16s | Max GPU Mem: 11018.04 MB
[2025-11-30 01:40:06] [Round 007] FedNewton (Solver: exact) | Acc: 77.47% | Loss: 1.5947 | Time: 100.49s | Max GPU Mem: 11018.04 MB
[2025-11-30 01:41:38] [Round 008] FedNewton (Solver: exact) | Acc: 31.35% | Loss: 35.3519 | Time: 92.56s | Max GPU Mem: 11018.04 MB
[2025-11-30 01:41:38] Early stopping as test loss is very high.
[2025-11-30 01:41:38] Saved to runs/compare_solvers_20251129_235013_tv_resnet50_head/cifar10/logs/exact/FedNewton_head_cifar10_tv_resnet50_exact_s0.npz
