Image Classification Robustness on CIFAR10 (test) (Adversarial Attacks)
64.69Accuracy (Natural)CalFAT
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| CalFATAggregation=FedAvg, Label skewness (beta)=0.12022.05 | 64.69 | 35.03 | 31.5 | 24.69 | 31.12 | 22.91 | |
| MixFATAggregation=FedAvg, Label skewness (beta)=0.12022.05 | 53.35 | 29.14 | 26.31 | 22.79 | 26.27 | 21.89 | |
| FedGAIRATAggregation=FedAvg, Label skewness (beta)=0.12022.05 | 48.42 | 29.3 | 26.55 | 22.78 | 27.2 | 21.96 | |
| FedRBNAggregation=FedAvg, Label skewness (beta)=0.12022.05 | 47.8 | 26.87 | 26.25 | 22 | 26.3 | 21.33 | |
| FedPGDAggregation=FedAvg, Label skewness (beta)=0.12022.05 | 46.96 | 28.7 | 26.59 | 24.38 | 26.74 | 22.47 | |
| FedTRADESAggregation=FedAvg, Label skewness (beta)=0.12022.05 | 46.06 | 27.75 | 26.32 | 22.86 | 26.31 | 21.7 | |
| FedMARTAggregation=FedAvg, Label skewness (beta)=0.12022.05 | 25.67 | 18.5 | 18.21 | 15.22 | 18.1 | 14.41 |