Longitudinal federation learning calculation method and device, equipment and medium

A computing method and federated technology, applied in the field of machine learning, can solve problems such as difficult central nodes, high security risks of centralized central nodes, and difficult application of solutions, so as to achieve the effect of improving equality

Pending Publication Date: 2020-12-25
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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
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  • Longitudinal federation learning calculation method and device, equipment and medium
  • Longitudinal federation learning calculation method and device, equipment and medium
  • Longitudinal federation learning calculation method and device, equipment and medium

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Embodiment Construction

[0039] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0040] First, some nouns involved in the embodiments of the present application are briefly introduced:

[0041] Artificial Intelligence (AI): It is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the nature of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence. Artificial intelligence is to study the design principles and implementation m...

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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...

Claims

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Application Information

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IPC IPC(8): G06N20/20G06N3/08G06N3/04
CPCG06N20/20G06N3/08G06N3/045G06N3/098G06N3/084G06N20/10H04L9/008H04L9/14H04L2209/04H04L9/0819H04L9/0869H04L9/30
Inventor 程勇符芳诚肖品陶阳宇
Owner TENCENT TECH (SHENZHEN) CO LTD
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