Image Classification on ImageNet subset (test) (Adversarial Attack Robustness)
49.89Accuracy (Natural)CalFAT
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| CalFATAggregation=FedAvg, Label skewness (beta)=0.12022.05 | 49.89 | 22.31 | 19.99 | 17.42 | 18.4 | 15.6 | |
| FedGAIRATAggregation=FedAvg, Label skewness (beta)=0.12022.05 | 36.69 | 19.62 | 19.28 | 16.78 | 17.42 | 15.2 | |
| FedTRADESAggregation=FedAvg, Label skewness (beta)=0.12022.05 | 34.9 | 18.67 | 17.99 | 16.23 | 18.05 | 11.42 | |
| MixFATAggregation=FedAvg, Label skewness (beta)=0.12022.05 | 33.53 | 18.48 | 16.15 | 18.39 | 15.07 | 9.34 | |
| FedRBNAggregation=FedAvg, Label skewness (beta)=0.12022.05 | 32.32 | 18.76 | 17.25 | 15.01 | 14.15 | 11.34 | |
| FedPGDAggregation=FedAvg, Label skewness (beta)=0.12022.05 | 30.87 | 18.88 | 17.95 | 16.07 | 15.4 | 11.8 | |
| FedMARTAggregation=FedAvg, Label skewness (beta)=0.12022.05 | 26.47 | 16.4 | 15.53 | 14.43 | 11.8 | 12.3 |