Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning

Hangyu Zhu, Rui Wang, Yaochu Jin +2

Homomorphic encryption is a very useful gradient protection technique used in privacy preserving federated learning. However, existing encrypted federated learning systems need a t…