Federal learning model training method and device, electronic equipment and storage medium

Abstract

The invention provides a federal learning model training method and device, electronic equipment and a storage medium. The training method comprises the steps: carrying out sample alignment with a data provider server; according to the number of the features of a business side server and the data provider server, numbering the features of the business side server and the data provider server to generate a feature code set, and sending the feature number and the public key of the data provider server to the data provider server; acquiring a current sample set and a training parameter set of the federated learning model; performing M times of iterative training on the federal learning model according to the current sample set, the training parameter set and the feature coding set; and acquiring target parameters of the federal learning model obtained by the Mth iteration training. Therefore, the modeling complexity can be reduced while the modeling effect is ensured, so that the joint training between the business side server and the data provider server is more efficient, and the modeling efficiency is improved.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to a training method, device, electronic device and storage medium 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 integrates...

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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