Unlearning during Learning: An Efficient Federated Machine Unlearning Method

Understand

In recent years, Federated Learning (FL) has garnered significant attention as a distributed machine learning paradigm.

• To facilitate the implementation of the right to be forgotten, the concept of federated machine unlearning (FMU) has also emerged.
• However, current FMU approaches often involve additional time-consuming steps and may not offer comprehensive unlearning capabilities, which renders them less practical in real FL scenarios.
• In this paper, we introduce FedAU, an innovative and efficient FMU framework aimed at overcoming these limitations.