Hanlin Gu

No Free Lunch Theorem for Security and Utility in Federated Learning

2022 · ACM Transactions on Intelligent Systems and Technology

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. On one hand, private and sensitive training data …