  In this manuscript, we consider the problem of privacy-preserving training of
neural networks in the mere homomorphic encryption setting. We combine several
exsiting techniques available, extend some of them, and finally enable the
training of 3-layer neural networks for both the regression and classification
problems using mere homomorphic encryption technique.
