Integrating Homomorphic Encryption and Synthetic Data in FL for Privacy and Learning Quality

Yenan Wang, Carla Fabiana Chiasserini, Elad Michael Schiller

Federated learning (FL) enables collaborative training of machine learning models without sharing sensitive client data, making it a cornerstone for privacy-critical applications.…