Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning

Haoran Zhang, Zejun Gong, Zekai Li +3

Federated learning (FL) allows edge devices to collaboratively train models without sharing local data. As FL gains popularity, clients may need to train multiple unrelated FL mode…