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Federated Learning Image Classification on CIFAR-100

11AccuracyFLANDERS + FedAvg
0.63.368.7Mar 29, 2023

Evaluation results

MethodLinks
FLANDERS + FedAvgAttack Strategy=LIE, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.0311
FLANDERS + FedAvgAttack Strategy=OPT, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.0311
FLANDERS + FedAvgAttack Strategy=AGR-MM, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.0310
FLANDERS + FedAvgAttack Strategy=GAUSS, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.039
FedAvgAttack Strategy=GAUSS, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.031
FedAvgAttack Strategy=LIE, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.031
FedAvgAttack Strategy=OPT, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.031
FedAvgAttack Strategy=AGR-MM, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.031
FLDetector + FedAvgAttack Strategy=GAUSS, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.031
FLDetector + FedAvgAttack Strategy=LIE, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.031
FLDetector + FedAvgAttack Strategy=OPT, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.031
FLDetector + FedAvgAttack Strategy=AGR-MM, Poisoning Ratio (r)=0.8, Number of Rounds (T)=502023.031