Zhi-Yue Zhang

Federated Learning as a Privacy-Enhancing Framework: Risks, Protection Mechanisms, and Applications

This paper argues that federated learning should be evaluated as a privacy-enhancing framework rather than as a complete privacy guarantee, and proposes a comparat ive framework that asks what federated learning protects, what it still exposes, and which auxiliary mechanisms are needed in different application settings...