Ying Qian

UOIM: Online Incentive Design for Fair Hierarchical Federated Learning and Unlearning in Edge Computing

Hierarchical Federated Learning (HFL) has emerged as a promising evolution of Federated Learning (FL) where a shared model is learned collaboratively via hierarchical aggregation, and it requires federated unlearning to protect users’ right to be forgotten in the training process. However, most existing designs neglect...