Federated Learning on Tiny-ImageNet (test)
31.47Accuracy (500R)
FedACG
Updated 3d ago
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
2022.01 | 31.47 | 38.48 | 246 | 447 | - | |
2022.01 | 28.39 | 33.67 | 382 | 579 | - | |
2022.01 | 26.75 | 33.26 | 386 | 687 | - | |
2022.01 | 26.69 | 31.81 | 382 | 741 | - | |
2022.01 | 25.72 | 28.92 | 420 | 1,000 | - | |
2022.01 | 25.45 | 31.71 | 445 | 799 | - | |
2022.01 | 24.67 | 32.16 | 475 | 800 | - | |
2022.01 | 24.35 | 29.54 | 483 | 1,000 | - | |
2022.01 | 24.34 | 30.28 | 499 | 959 | - | |
2022.01 | 23.63 | 29.48 | 523 | 1,000 | - | |
2022.01 | 22.14 | 26.83 | 676 | 1,000 | - | |
2022.01 | 21.88 | 28.08 | 648 | 1,000 | - | |
2022.01 | 19.41 | 24.09 | 975 | 1,000 | - | |
2024.10 | - | - | - | - | 29.51 | |
2024.10 | - | - | - | - | 38.23 | |
2024.10 | - | - | - | - | 23.32 | |
2024.10 | - | - | - | - | 29.46 | |
2024.10 | - | - | - | - | 38.01 | |
2024.10 | - | - | - | - | 47.87 | |
2024.10 | - | - | - | - | 57.78 | |
2024.10 | - | - | - | - | 56.91 | |
2024.10 | - | - | - | - | 58.23 | |
2024.10 | - | - | - | - | 60.98 | |
2024.10 | - | - | - | - | 63.27 |