Towards Quantum-Safe Federated Learning via Homomorphic Encryption: Learning with Gradients

Guangfeng Yan, Shanxiang Lyu, Hanxu Hou +2

This paper introduces a privacy-preserving distributed learning framework via private-key homomorphic encryption. Thanks to the randomness of the quantization of gradients, our lea…