Federated Learning on CIFAR-10 (test)
73.61Accuracy (500R)
FedACG
Updated 3d ago
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
2022.01 | 73.61 | 82.8 | 484 | 605 | |
2022.01 | 71.86 | 83.49 | 518 | 686 | |
2022.01 | 69.27 | 76.57 | 742 | 1,000 | |
2022.01 | 69.15 | 78.06 | 617 | 872 | |
2022.01 | 65.85 | 77.49 | 753 | 959 | |
2022.01 | 65.49 | 77.92 | 732 | 936 | |
2022.01 | 61.53 | 69.94 | 1,000 | 1,000 | |
2022.01 | 60.65 | 73.2 | 991 | 1,000 | |
2022.01 | 60.16 | 70.1 | 1,000 | 1,000 | |
2022.01 | 60.01 | 72.83 | 1,000 | 1,000 | |
2022.01 | 58.74 | 71.45 | 1,000 | 1,000 | |
2022.01 | 58.68 | 71.38 | 1,000 | 1,000 | |
2022.01 | 57.88 | 70.75 | 1,000 | 1,000 |