Chong‐Yung Chi

Privacy-Preserving Federated Primal—Dual Learning for Nonconvex and Nonsmooth Problems With Model Sparsification

2024 · IEEE Internet of Things Journal

Federated learning (FL) has been recognized as a rapidly growing research area, where the model is trained over massively distributed clients under the orchestration of a parameter server (PS) without sharing clients’ data. This paper …