Image Classification on CIFAR-10 Dirichlet 0.6 (100 clients, 5% participation) (test)
88.05Accuracy (500 Rounds)
FedDC
Updated 3d ago
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
2022.01 | 88.05 | 89.58 | 270 | 437 | |
2022.01 | 87.57 | 90.56 | 218 | 453 | |
2022.01 | 87.23 | 89.49 | 310 | 487 | |
2022.01 | 84.95 | 87.99 | 272 | 728 | |
2022.01 | 84.65 | 87.96 | 355 | 811 | |
2022.01 | 82.84 | 86.64 | 385 | 1,000 | |
2022.01 | 81.2 | 86.44 | 498 | 1,000 | |
2022.01 | 81.01 | 85.19 | 500 | 1,000 | |
2022.01 | 80.56 | 85.97 | 520 | 1,000 | |
2022.01 | 80.4 | 85.48 | 559 | 1,000 | |
2022.01 | 80.39 | 85.53 | 524 | 1,000 | |
2022.01 | 80.25 | 83.52 | 526 | 1,000 | |
2022.01 | 79.85 | 85.98 | 574 | 1,000 |