Cem Ata Baykara

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

2024 · arXiv (Cornell University)

Federated learning has become increasingly widespread due to its ability to train models collaboratively without centralizing sensitive data. While most research on FL emphasizes privacy-preserving techniques during training, the evaluation phase also presents significant privacy …