Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning

Yan Kang, Hanlin Gu, Xingxing Tang +7

Conventionally, federated learning aims to optimize a single objective, typically the utility. However, for a federated learning system to be trustworthy, it needs to simultaneousl…