Image Classification on CIFAR-100 (Accuracy Statistics)
35.9Mean AccuracyCRAFT
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| CRAFTArchitecture=CNN2026.05 | 35.9 | 48.4 | 25.5 | 6.9 | |
| FedFVArchitecture=CNN2026.05 | 34.6 | 47.4 | 22.5 | 7.4 | |
| FedNovaArchitecture=CNN2026.05 | 34.5 | 49 | 22.9 | 7.8 | |
| FedProxArchitecture=CNN2026.05 | 34.2 | 48.5 | 22.3 | 7.9 | |
| ConFIGArchitecture=CNN2026.05 | 34.1 | 47.2 | 21.8 | 7.7 | |
| FedAdaGradArchitecture=CNN2026.05 | 34 | 46.4 | 23.6 | 6.8 | |
| FedAvgArchitecture=CNN2026.05 | 33.5 | 47.4 | 20.9 | 7.9 | |
| FedYogiArchitecture=CNN2026.05 | 33.3 | 45.3 | 23.7 | 6.3 | |
| FedLFArchitecture=CNN2026.05 | 33.2 | 48.2 | 21.2 | 7.5 | |
| FedAvgMArchitecture=CNN2026.05 | 31.9 | 44.6 | 20.1 | 7 | |
| FedAdamArchitecture=CNN2026.05 | 31.4 | 45.6 | 20.7 | 6.9 | |
| qFedAvgArchitecture=CNN2026.05 | 29.9 | 42 | 19.7 | 6.5 | |
| AFLArchitecture=CNN2026.05 | 27.6 | 39.4 | 17.2 | 6.2 | |
| FedMGDA+Architecture=CNN2026.05 | 9 | 19.7 | 1.7 | 5.1 |