A Survey on Federated Unlearning: Challenges, Methods, and Future Directions
Ziyao Liu,
Yu Jiang,
Jiyuan Shen
et al.
Abstract:In recent years, the notion of “the right to be forgotten” (RTBF) has become a crucial aspect of data privacy for digital trust and AI safety, requiring the provision of mechanisms that support the removal of personal data of individuals upon their requests. Consequently, machine unlearning (MU) has gained considerable attention which allows an ML model to selectively eliminate identifiable information. Evolving from MU, federated unlearning (FU) has emerged to confront the challenge of data erasure within fed… Show more
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