Federated Learning Image Classification on CIFAR-10
33AccuracyFLANDERS + FedAvg
Evaluation results
| Method | Links | |
|---|---|---|
| FLANDERS + FedAvgAttack Strategy=GAUSS, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.03 | 33 | |
| FLANDERS + FedAvgAttack Strategy=LIE, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.03 | 32 | |
| FLANDERS + FedAvgAttack Strategy=OPT, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.03 | 32 | |
| FLANDERS + FedAvgAttack Strategy=AGR-MM, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.03 | 32 | |
| FedAvgAttack Strategy=OPT, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.03 | 11 | |
| FedAvgAttack Strategy=GAUSS, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.03 | 10 | |
| FedAvgAttack Strategy=LIE, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.03 | 10 | |
| FedAvgAttack Strategy=AGR-MM, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.03 | 10 | |
| FLDetector + FedAvgAttack Strategy=GAUSS, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.03 | 10 | |
| FLDetector + FedAvgAttack Strategy=LIE, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.03 | 10 | |
| FLDetector + FedAvgAttack Strategy=OPT, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.03 | 10 | |
| FLDetector + FedAvgAttack Strategy=AGR-MM, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.03 | 10 |