Image Classification on Tiny-ImageNet IID (Accuracy, Binarized Accuracy)
55AccuracyFedAvg
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FedAvgModel=ResNet18, Nc=100, FLOPs=4.44 × 10^9, Memory (MB)=45.0902026.03 | 55 | 0.52 | |
| FedMUDModel=ResNet18, Nc=100, FLOPs=4.44 × 10^9, Memory (MB)=45.0902026.03 | 47.2 | 16.24 | |
| FedBNNModel=ResNet18, Nc=100, FLOPs=9.05 × 10^7, Memory (MB)=1.412026.03 | 46.54 | 46.54 | |
| FedBATModel=ResNet18, Nc=100, FLOPs=4.44 × 10^9, Memory (MB)=45.0902026.03 | 27.3 | 0.6 |