Training method and apparatus for a neural network model, device and storage medium

Abstract

Provided are a training method and apparatus for a neural network model, a device and a storage medium. The training method includes: acquiring a first feature representation ciphertext of a sample user from a first party; determining the tag ciphertext of the sample user and determining the loss error ciphertext and the gradient ciphertext of a second neuron in a second sub-neural network based on the second sub-neural network according to the first feature representation ciphertext and the tag ciphertext; controlling the first party to decrypt the gradient ciphertext of the second neuron to obtain a decryption result and updating the network parameter of the second neuron according to the decryption result acquired from the first party; and sending the loss error ciphertext of an association neuron to the first party.

CPC Classifications