Non-convex composite federated learning with heterogeneous data

Jiaojiao Zhang, Jiang Hu, Mikael Johansson

We propose an innovative algorithm for non-convex composite federated learning that decouples the proximal operator evaluation and the communication between server and clients. Mor…