Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...

Abstract: This article investigates a distributed time-varying optimization problem concerning unmanned aerial vehicle (UAV) swarm systems with bounded inputs. The objective is to achieve state ...