Abstract: Federated Learning (FL) has emerged as a promising paradigm for cooperatively training Deep Neural Networks (DNNs) on mobile devices while ensuring client privacy for decentralized data. FL ...

Abstract: This paper addresses the distributed nonconvex optimization problem, where both the global cost function and local inequality constraint function are nonconvex. To tackle this issue, the ...