Protecting Data from all Parties: Combining FHE and DP in Federated Learning

Arnaud Grivet Sébert, Renaud Sirdey, Oana Stan +1

This paper tackles the problem of ensuring training data privacy in a federated learning context. Relying on Homomorphic Encryption (HE) and Differential Privacy (DP), we propose a…