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Machine Unlearning on FEMNIST (natural partition, test)

76.3MIA AccuracyNo-Unlearn
48.63655.8186370.182Jun 15, 2026

Evaluation results

MethodLinks
No-UnlearnpFL Architecture=FedRep2026.0676.391.8
No-UnlearnpFL Architecture=FedPer2026.0675.691.2
No-UnlearnpFL Architecture=Ditto2026.0674.992.4
No-UnlearnpFL Architecture=FedBN2026.0674.189.3
Fine-tunepFL Architecture=FedRep2026.0657.290.1
Fine-tunepFL Architecture=FedBN2026.0657.187.5
Fine-tunepFL Architecture=FedPer2026.0656.489.5
Fine-tunepFL Architecture=Ditto2026.0655.890.9
FedEraser-adapt.pFL Architecture=FedBN2026.0654.383.7
FedEraser-adapt.pFL Architecture=FedRep2026.0653.886.9
FedEraser-adapt.pFL Architecture=FedPer2026.0653.186.3
FedEraser-adapt.pFL Architecture=Ditto2026.0652.787.8
pFedULpFL Architecture=FedBN2026.0651.688.5
pFedULpFL Architecture=Ditto2026.0651.391.7
GA-NaivepFL Architecture=Ditto2026.0651.284.1
pFedULpFL Architecture=FedPer2026.065190.4
GA-NaivepFL Architecture=FedPer2026.0650.882.6
pFedULpFL Architecture=FedRep2026.0650.891
RetrainpFL Architecture=Ditto2026.0650.492.1
GA-NaivepFL Architecture=FedRep2026.0650.383.2
RetrainpFL Architecture=FedPer2026.0650.290.8
RetrainpFL Architecture=FedBN2026.0650.189
RetrainpFL Architecture=FedRep2026.065091.5
GA-NaivepFL Architecture=FedBN2026.0649.780.4