[2025-11-30 01:28:08] Namespace(method='FedNewton', training_mode='head', dataset='cifar10', model_name='tv_resnet50', 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/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 01:28:08] Start: FedNewton | Mode: head | Dataset: cifar10 | Solver: exact
[2025-11-30 01:31:26] [Round 001] FedNewton (Solver: exact) | Acc: 83.59% | Loss: 0.6076 | Time: 83.12s | Max GPU Mem: 10989.54 MB
[2025-11-30 01:32:55] [Round 002] FedNewton (Solver: exact) | Acc: 88.69% | Loss: 0.3804 | Time: 89.73s | Max GPU Mem: 11021.81 MB
[2025-11-30 01:34:36] [Round 003] FedNewton (Solver: exact) | Acc: 88.79% | Loss: 0.3583 | Time: 100.41s | Max GPU Mem: 11021.81 MB
[2025-11-30 01:36:09] [Round 004] FedNewton (Solver: exact) | Acc: 90.06% | Loss: 0.3025 | Time: 93.03s | Max GPU Mem: 11021.89 MB
[2025-11-30 01:37:54] [Round 005] FedNewton (Solver: exact) | Acc: 87.56% | Loss: 0.4827 | Time: 105.51s | Max GPU Mem: 11014.04 MB
[2025-11-30 01:39:34] [Round 006] FedNewton (Solver: exact) | Acc: 81.30% | Loss: 1.4642 | Time: 100.21s | Max GPU Mem: 11014.04 MB
[2025-11-30 01:41:06] [Round 007] FedNewton (Solver: exact) | Acc: 23.28% | Loss: 25.3402 | Time: 91.39s | Max GPU Mem: 11022.05 MB
[2025-11-30 01:41:06] Early stopping as test loss is very high.
[2025-11-30 01:41:06] Saved to runs/compare_solvers_20251129_235013_tv_resnet50_head/cifar10/logs/exact/FedNewton_head_cifar10_tv_resnet50_exact_s1.npz
