Neural Network Training With Homomorphic Encryption

Kentaro Mihara, Ryohei Yamaguchi, Miguel Mitsuishi +1

We introduce a novel method and implementation architecture to train neural networks which preserves the confidentiality of both the model and the data. Our method relies on homomo…