Federal modeling method and device based on stepwise regression method and readable storage medium

Abstract

The invention discloses a federated modeling method and device based on a stepwise regression method and a readable storage medium. The federated modeling method based on the stepwise regression method comprises the steps that federated modeling is carried out, obtaining model to be trained, receiving a to-be-rejected label feature data set and a to-be-added label feature data set sent by a thirddevice; the method is based on a to-be-rejected label feature data set and a to-be-added label feature data set. Longitudinal federation modeling is carried out through second equipment; executing a preset cyclic training process on the to-be-trained model, eliminating each target elimination feature meeting a preset elimination contribution degree standard in the to-be-trained model; or adding each target adding feature meeting a preset adding contribution degree standard into the to-be-trained model to circularly update the to-be-trained model until the circularly updated to-be-trained modelmeets a preset circular ending condition, and obtaining a target modeling model. The technical problems that longitudinal federation modeling is low in efficiency and poor in effect are solved.

Description

technical field [0001] The present application relates to the field of machine learning technology of financial technology (Fintech), and in particular to a federated modeling method, device and readable storage medium based on stepwise regression method. Background technique [0002] With the continuous development of financial technology, especially Internet technology and finance, more and more technologies (such as distributed, blockchain, artificial intelligence, etc.) Requirements, such as the distribution of corresponding to-do items in the financial industry also have higher requirements. [0003] With the continuous development of Internet technology and finance, the application of federated learning is becoming more and more extensive. In the vertical federated learning scenario, both the label provider and the feature provider participating in the federated learning will provide training features, and based on these training features through the Federated learnin...

AI Technical Summary

Problems solved by technology

[0004] The main purpose of this application is to provide a federated modeling method, device and readable storage medium based on the stepwise

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