Image Classification on CIFAR-10 (test) (Accuracy Variance Metrics)
80.6Mean AccuracyCRAFT
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| CRAFTArchitecture=ResNet-202026.05 | 80.6 | 100 | 47.9 | 0.159 | |
| ConFIGArchitecture=ResNet-202026.05 | 52.5 | 87.2 | 14.6 | 0.211 | |
| FedLFArchitecture=ResNet-202026.05 | 50.1 | 84.5 | 14.9 | 0.208 | |
| FedAvgMArchitecture=ResNet-202026.05 | 46.3 | 87.1 | 4 | 0.241 | |
| FedAdaGradArchitecture=ResNet-202026.05 | 42.7 | 79.9 | 7.2 | 0.206 | |
| FedFVArchitecture=ResNet-202026.05 | 42.1 | 78 | 7.8 | 0.194 | |
| FedAdamArchitecture=ResNet-202026.05 | 41.2 | 79 | 6.5 | 0.197 | |
| FedYogiArchitecture=ResNet-202026.05 | 39.8 | 77.7 | 4.7 | 0.201 | |
| FedNovaArchitecture=ResNet-202026.05 | 38.1 | 73.4 | 4 | 0.19 | |
| FedAvgArchitecture=ResNet-202026.05 | 35.6 | 72.7 | 1.5 | 0.195 | |
| FedProxArchitecture=ResNet-202026.05 | 35.6 | 72.8 | 1.5 | 0.195 | |
| qFedAvgArchitecture=ResNet-202026.05 | 35.2 | 71.6 | 1.9 | 0.191 | |
| AFLArchitecture=ResNet-202026.05 | 29.4 | 73.2 | 0 | 0.217 | |
| FedMGDA+Architecture=ResNet-202026.05 | 23.5 | 61.2 | 0 | 0.193 |