[2025-11-30 01:28:41] Namespace(method='FedNewton', training_mode='head', dataset='cifar10', model_name='tv_resnet50', 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/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 01:28:41] Start: FedNewton | Mode: head | Dataset: cifar10 | Solver: exact
[2025-11-30 01:32:05] [Round 001] FedNewton (Solver: exact) | Acc: 76.96% | Loss: 0.7929 | Time: 88.67s | Max GPU Mem: 11015.57 MB
[2025-11-30 01:33:27] [Round 002] FedNewton (Solver: exact) | Acc: 88.43% | Loss: 0.3883 | Time: 82.10s | Max GPU Mem: 11015.80 MB
[2025-11-30 01:35:06] [Round 003] FedNewton (Solver: exact) | Acc: 89.84% | Loss: 0.3069 | Time: 99.01s | Max GPU Mem: 10988.01 MB
[2025-11-30 01:36:44] [Round 004] FedNewton (Solver: exact) | Acc: 90.03% | Loss: 0.3063 | Time: 97.92s | Max GPU Mem: 10997.02 MB
[2025-11-30 01:38:30] [Round 005] FedNewton (Solver: exact) | Acc: 86.57% | Loss: 0.4838 | Time: 106.04s | Max GPU Mem: 11016.04 MB
[2025-11-30 01:39:59] [Round 006] FedNewton (Solver: exact) | Acc: 82.20% | Loss: 0.7974 | Time: 89.70s | Max GPU Mem: 11016.04 MB
[2025-11-30 01:41:29] [Round 007] FedNewton (Solver: exact) | Acc: 58.16% | Loss: 6.4329 | Time: 89.93s | Max GPU Mem: 11016.04 MB
[2025-11-30 01:42:40] [Round 008] FedNewton (Solver: exact) | Acc: 19.28% | Loss: 143.8763 | Time: 70.14s | Max GPU Mem: 11016.04 MB
[2025-11-30 01:42:40] Early stopping as test loss is very high.
[2025-11-30 01:42:40] Saved to runs/compare_solvers_20251129_235013_tv_resnet50_head/cifar10/logs/exact/FedNewton_head_cifar10_tv_resnet50_exact_s2.npz
