Compressed Proximal Federated Learning for Non-Convex Composite Optimization on Heterogeneous Data

Pu Qiu, Chen Ouyang, Yongyang Xiong +3

Federated Composite Optimization (FCO) has emerged as a promising framework for training models with structural constraints (e.g., sparsity) in distributed edge networks. However,…