FedAPM: Federated Learning via ADMM with Partial Model Personalization

Shengkun Zhu, Feiteng Nie, Jinshan Zeng +6

In federated learning (FL), the assumption that datasets from different devices are independent and identically distributed (i.i.d.) often does not hold due to user differences, an…