No Free Lunch Theorem for Security and Utility in Federated Learning

Xiaojin Zhang, Hanlin Gu, Lixin Fan +2

In a federated learning scenario where multiple parties jointly learn a model from their respective data, there exist two conflicting goals for the choice of appropriate algorithms…