Personalized Federated Learning on CIFAR-100 (test)
49.02Accuracy
FedAS
Updated 1mo ago
Evaluation Results
| Method | Links | ||
|---|---|---|---|
2026.06 | 49.02 | 11.55 | |
2026.06 | 48.43 | 26.98 | |
2026.06 | 45.64 | 21.25 | |
2026.06 | 45.51 | 28.72 | |
2026.06 | 44.13 | 12.12 | |
2026.06 | 41.45 | 39.1 | |
2026.06 | 38.04 | 6.57 | |
2026.06 | 37.95 | 9.9 | |
2026.06 | 37.73 | 6.87 | |
2026.06 | 36.66 | 22.83 | |
2026.06 | 36.63 | 18.29 | |
2026.06 | 36.29 | 25.32 | |
2026.06 | 35.96 | 26.38 | |
2026.06 | 34.43 | 32.86 | |
2026.06 | 33.78 | 15.38 | |
2026.06 | 31.84 | 30.88 | |
2026.06 | 31.73 | 30.62 | |
2026.06 | 31.3 | 8.94 | |
2026.06 | 31.15 | 29.9 | |
2026.06 | 30.09 | 23.89 | |
2026.06 | 29.98 | 20.57 | |
2026.06 | 29.64 | 13.09 | |
2026.06 | 28.64 | 14.36 | |
2026.06 | 21.51 | 8.94 | |
2026.06 | 20.52 | 4.35 | |
2026.06 | 17.37 | 1.69 | |
2026.06 | 16.9 | 1.79 | |
2026.06 | 14.87 | 1.74 | |
2026.06 | 13.05 | 3.22 | |
2026.06 | 10.02 | 2.58 | |
2026.06 | 9.15 | 1.71 | |
2026.06 | 7.24 | 1.04 |