Hybrid federated learning method and architecture

Abstract

The invention discloses a hybrid federated learning method and architecture. The method is suitable for training a federated learning model with multiple groups of participants. The method comprises:for each group, jointly training a first federated learning model of each group according to data sets of participants in the group; fusing the first federated learning models of each group to obtaina second federated learning model, and sending the second federated learning model to participants in each group; and for each group, training according to the second federated learning model and thedata set of the participants in the group to obtain an updated first federated learning model, and returning to the step of fusing the first federated learning models of each group to obtain a secondfederated learning model until the model training is finished. When the method is applied to fintech, the accuracy of a federated learning model can be improved.

Description

technical field [0001] The present invention relates to the fields of financial technology (Fintech) and federated learning, in particular to a hybrid federated learning method and architecture. Background technique [0002] With the development of computer technology, more and more technologies (big data, distributed, blockchain (Blockchain), artificial intelligence, etc.) are applied in the financial field, and the traditional financial industry is gradually transforming into financial technology (Fintech). At present, the adjustment of many financial strategies in the field of financial technology relies on the results of federated learning on a large amount of financial transaction data, and the adjustment of corresponding financial strategies is likely to affect the profit and loss of financial institutions. Therefore, for a financial institution, the accuracy of its federated learning model is crucial. [0003] However, in the current scenario of applying federated le...

AI Technical Summary

Problems solved by technology

[0004] The embodiment of this application provides a hybrid federated learning method and architecture, which solves the problem of inaccurate federated learning models in the prior art

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