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ResearchFormerly WizWand

Image Classification on MNIST (Accuracy, ∆CA, ASR)

86AccuracyFLANDERS + FedAvg
828.2548.568.75Mar 29, 2023Sep 17, 2023Mar 8, 2024Aug 27, 2024Feb 16, 2025Aug 7, 2025Jan 27, 2026
Updated 8mo ago

Evaluation results

MethodLinks
FLANDERS + FedAvgAttack Strategy=GAUSS, Malicious Client Ratio (r)=0.22023.0386——
FLANDERS + FedAvgAttack Strategy=AGR-MM, Malicious Client Ratio (r)=0.22023.0385——
FLANDERS + FedAvgAttack Strategy=LIE, Malicious Client Ratio (r)=0.22023.0383——
RN50 BaselineIR=1, Backbone=ResNet-502026.0169.2——
FLDetector + FedAvgAttack Strategy=OPT, Malicious Client Ratio (r)=0.22023.0368——
FedAvgAttack Strategy=OPT, Malicious Client Ratio (r)=0.22023.0363——
VLM BaselineIR=1, Backbone=VLM2026.0162.3——
FLANDERS + FedAvgAttack Strategy=OPT, Malicious Client Ratio (r)=0.22023.0362——
FLDetector + FedAvgAttack Strategy=AGR-MM, Malicious Client Ratio (r)=0.22023.0343——
FedAvgAttack Strategy=AGR-MM, Malicious Client Ratio (r)=0.22023.0334——
FLDetector + FedAvgAttack Strategy=GAUSS, Malicious Client Ratio (r)=0.22023.0320——
FedAvgAttack Strategy=GAUSS, Malicious Client Ratio (r)=0.22023.0318——
FedAvgAttack Strategy=LIE, Malicious Client Ratio (r)=0.22023.0312——
FLDetector + FedAvgAttack Strategy=LIE, Malicious Client Ratio (r)=0.22023.0311——
PRISMIR=1, Attack Type=Blend, Backbone=ResNet-502026.01—2.20
PRISMIR=1, Attack Type=BPP, Backbone=ResNet-502026.01—3.40
PRISMIR=1, Attack Type=CTRL, Backbone=ResNet-502026.01—10