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Machine Unlearning on CIFAR-10 alpha_dir = 0.5 (test)

79.1MIA AccuracyNo-Unlearn
48.31656.30864.372.292Jun 15, 2026

Evaluation results

MethodLinks
No-UnlearnpFL Architecture=FedRep2026.0679.185.3
No-UnlearnpFL Architecture=FedPer2026.0678.484.7
No-UnlearnpFL Architecture=Ditto2026.0677.686.1
No-UnlearnpFL Architecture=FedBN2026.0676.880.5
Fine-tunepFL Architecture=FedRep2026.0659.183
Fine-tunepFL Architecture=FedBN2026.0658.778.6
Fine-tunepFL Architecture=FedPer2026.0658.382.1
Fine-tunepFL Architecture=Ditto2026.0657.584.3
FedEraser-adapt.pFL Architecture=FedBN2026.0654.875.3
FedEraser-adapt.pFL Architecture=FedRep2026.0654.179.5
FedEraser-adapt.pFL Architecture=FedPer2026.0653.678.9
FedEraser-adapt.pFL Architecture=Ditto2026.0653.280.8
pFedULpFL Architecture=FedBN2026.0651.879.6
pFedULpFL Architecture=Ditto2026.0651.585.4
pFedULpFL Architecture=FedPer2026.0651.383.5
pFedULpFL Architecture=FedRep2026.0651.184.2
GA-NaivepFL Architecture=Ditto2026.0650.674.5
RetrainpFL Architecture=Ditto2026.0650.385.8
GA-NaivepFL Architecture=FedPer2026.0650.272.4
RetrainpFL Architecture=FedRep2026.0650.284.9
RetrainpFL Architecture=FedPer2026.0650.184.3
RetrainpFL Architecture=FedBN2026.065080.1
GA-NaivepFL Architecture=FedRep2026.0649.873.1
GA-NaivepFL Architecture=FedBN2026.0649.569.8