Image Classification on SVHN (Non-IID 2)
89.34AccuracyFedAvg
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FedAvgModel=CNN4, Nc=100, FLOPs=3.00 × 10^7, Memory (MB)=1.59652026.03 | 89.34 | 16.92 | |
| FedBNNModel=CNN4, Nc=100, FLOPs=5.19 × 10^5, Memory (MB)=0.04982026.03 | 84.4 | 84.4 | |
| FedMUDModel=CNN4, Nc=100, FLOPs=3.00 × 10^7, Memory (MB)=1.61272026.03 | 83.14 | 51.19 | |
| FedBATModel=CNN4, Nc=100, FLOPs=3.00 × 10^7, Memory (MB)=1.59652026.03 | 75.78 | 34.71 |