Beyond Right to be Forgotten: Managing Heterogeneity Side Effects Through Strategic Incentives

Jiaqi Shao, Tao Lin, Xiaojin Zhang +2

Federated Unlearning (FU) enables the removal of specific clients' data influence from trained models. However, in non-IID settings, removing clients creates critical side effects:…