Personalized Federated Learning on CIFAR-10
79.32Accuracy
FedAS
Updated 1mo ago
Evaluation Results
| Method | Links | ||
|---|---|---|---|
2026.06 | 79.32 | 40.57 | |
2026.06 | 79.05 | 47.61 | |
2026.06 | 78.94 | 30.72 | |
2026.06 | 78.19 | 42.84 | |
2026.06 | 77.85 | 53 | |
2026.06 | 76.83 | 50.38 | |
2026.06 | 74.79 | 50.21 | |
2026.06 | 72.62 | 28.16 | |
2026.06 | 70.49 | 8.42 | |
2026.06 | 69.36 | 8.46 | |
2026.06 | 68.34 | 46.01 | |
2026.06 | 68.19 | 11.5 | |
2026.06 | 67.39 | 62.94 | |
2026.06 | 66.9 | 17.12 | |
2026.06 | 66.72 | 57.79 | |
2026.06 | 65.51 | 60.34 | |
2026.06 | 62.47 | 11.03 | |
2026.06 | 62 | 36.19 | |
2026.06 | 60.97 | 18.37 | |
2026.06 | 59.41 | 18.11 | |
2026.06 | 57.46 | 55.14 | |
2026.06 | 54.78 | 3.51 | |
2026.06 | 53.27 | 17.02 | |
2026.06 | 51.35 | 3.57 | |
2026.06 | 51.08 | 23.52 | |
2026.06 | 49.46 | 6.69 | |
2026.06 | 48.66 | 4.36 | |
2026.06 | 48.26 | 14.19 | |
2026.06 | 47.78 | 5.94 | |
2026.06 | 38.42 | 5.62 | |
2026.06 | 34.62 | 3.4 | |
2026.06 | 31.86 | 4.91 |