Image Classification on CIFAR-100 Dirichlet 0.6 (100 clients, 5% participation) (test)
58.82Accuracy (500R)
FedACG
Updated 3d ago
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
2022.01 | 58.82 | 63.88 | 243 | 396 | |
2022.01 | 56 | 60.58 | 347 | 491 | |
2022.01 | 55.76 | 61.42 | 338 | 527 | |
2022.01 | 53.75 | 60.48 | 331 | 468 | |
2022.01 | 50.51 | 56.78 | 488 | 886 | |
2022.01 | 49.31 | 56.7 | 526 | 925 | |
2022.01 | 46.66 | 52.49 | 735 | 1,000 | |
2022.01 | 45.95 | 51.63 | 778 | 1,000 | |
2022.01 | 44.26 | 50.34 | 916 | 1,000 | |
2022.01 | 43.99 | 48.92 | 1,000 | 1,000 | |
2022.01 | 43.91 | 49.18 | 1,000 | 1,000 | |
2022.01 | 43.64 | 49.03 | 1,000 | 1,000 | |
2022.01 | 43.15 | 48.45 | 1,000 | 1,000 |