Enabling Privacy-preserving Model Evaluation in Federated Learning via Fully Homomorphic Encryption

Cem Ata Baykara, Ali Burak Ünal, Mete Akgün

Federated learning has become increasingly widespread due to its ability to train models collaboratively without centralizing sensitive data. While most research on FL emphasizes p…