Federated Unlearning: a Perspective of Stability and Fairness

Jiaqi Shao, Tao Lin, Xuanyu Cao +1

This paper explores the multifaceted consequences of federated unlearning (FU) with data heterogeneity. We introduce key metrics for FU assessment, concentrating on verification, g…