Model parameter training method and device of federal learning model and electronic equipment

Abstract

The invention provides a model parameter training method and device for a federated learning model and electronic equipment, and the method comprises the steps: carrying out the sample alignment with a data provider server; acquiring a common parameter; calculating gradient information of the current sample, and sending the gradient information to a data provider server; receiving intermediate parameters and gradient return information provided by the data provider server; generating a target split point number according to the gradient return information, and generating a ciphertext based on the service key and the intermediate parameter or the public parameter; generating a feature confusion dictionary based on the target split point number and the confusion split point number, and sending the feature confusion dictionary and the ciphertext to a data provider server; and receiving a first decryption operation value set and a second decryption operation value set sent by the data provider server, and performing node splitting according to the service key, the first decryption operation value set and the second decryption operation value set.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to a model parameter training method, device and electronic equipment of a federated learning model. Background technique [0002] With the development of machine learning, more and more machine learning techniques are being applied in various industries. The quantity and quality of data often determine the upper limit of the effectiveness of machine learning models. However, as regulations and supervision become more and more stringent, and people pay more and more attention to data security and privacy protection, the phenomenon of data islands is formed. In such a scenario, federated learning emerges as the times require, which allows participants to jointly train on the basis of not sharing data to solve the problem of data islands. [0003] Among related technologies, federated learning is an encrypted distributed machine learning technology that integra...

AI Technical Summary

Problems solved by technology

However, as regulations and supervision become more and more stringent, and people pay more and more attention to data security and privacy protection, the phenomenon of data islands is formed.

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