Effective Heterogeneous Federated Learning via Efficient Hypernetwork-based Weight Generation

Yujin Shin, Kichang Lee, Sungmin Lee +3

While federated learning leverages distributed client resources, it faces challenges due to heterogeneous client capabilities. This necessitates allocating models suited to clients…