Longitudinal federation learning calculation method and device, equipment and medium

Abstract

The invention discloses a longitudinal federation learning calculation method and device, equipment and a medium, and relates to the field of federation learning in artificial intelligence. Accordingto the application, a plurality of participation nodes are deployed by adopting a multi-way tree topology, one upper-layer participation node is provided with k lower-layer participation nodes, and the upper-layer participation node and the k lower-layer participation nodes exchange public keys of two parties, the upper-layer participation node and the lower-layer participation node perform two-party joint security calculation by taking the first public key and the second public key as encryption parameters to obtain k two-party joint outputs of the federation model; and the k two-party jointoutputs are combined by the upper-layer participation node to obtain a first joint model output corresponding to the federation model. Therefore, a longitudinal federated learning architecture of multi-way tree topology deployment is provided, and the equivalence of each participating node in the longitudinal federated learning process is improved.

Description

technical field [0001] The embodiments of the present application relate to the field of machine learning, and in particular to a computing method, device, device and medium in vertical federated learning. Background technique [0002] Federated Learning can combine data sources from multiple parties to train machine learning models and provide model inference services while ensuring that the data does not go out of the domain. Federated learning enables cross-departmental, cross-company, and even cross-industry data collaboration while meeting data protection laws and regulations. [0003] The multi-party vertical federated learning in the related technology relies on the participation of a trusted central node, and the central node keeps the private key, and each participant keeps the public key, so as to realize the encrypted transmission of data among the participants. [0004] However, since it is difficult to find a trusted central node to keep the private key, the ab...

AI Technical Summary

Problems solved by technology

[0004] However, since it is difficult to find a trusted central node to keep the private key, the above scheme is difficult to apply

Moreover, a central node will keep the private key, which will cause a great risk of centralized security at the single point of the central node.

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