Federated Learning 벤치마크
Federated Learning on CIFAR-100 (alpha=1000, 20 clients per round)
ACC@1-100Clients
- 2022-03-22 — FedASAM: ACC@1-100Clients 54.5
| Rank | Model | ACC@1-100Clients | Paper | Code | Year |
|---|---|---|---|---|---|
| 1 | FedASAM | 54.5 | Improving Generalization in Federated Learning by Seeking Flat Minima | debcaldarola/fedsam | 2022 |
| 2 | FedSAM + SWA | 54.36 | Improving Generalization in Federated Learning by Seeking Flat Minima | debcaldarola/fedsam | 2022 |
| 3 | FedASAM + SWA | 54.1 | Improving Generalization in Federated Learning by Seeking Flat Minima | debcaldarola/fedsam | 2022 |
| 4 | FedSAM | 53.97 | Improving Generalization in Federated Learning by Seeking Flat Minima | debcaldarola/fedsam | 2022 |
| 5 | FedAvg | 50.66 | Improving Generalization in Federated Learning by Seeking Flat Minima | debcaldarola/fedsam | 2022 |