Composite federated learning with heterogeneous data

Jiaojiao Zhang, Jiang Hu, Mikael Johansson

We propose a novel algorithm for solving the composite Federated Learning (FL) problem. This algorithm manages non-smooth regularization by strategically decoupling the proximal op…