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Federation learning modeling method, device and readable storage medium

A modeling method and federated technology, applied in the field of artificial intelligence of financial technology, can solve problems such as poor accuracy and low modeling efficiency of federated learning

Active Publication Date: 2020-08-28
WEBANK (CHINA)
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of this application is to provide a federated learning modeling method, device and readable storage medium, aiming to solve the technical problems of low efficiency and poor accuracy of federated learning modeling in the prior art

Method used

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  • Federation learning modeling method, device and readable storage medium
  • Federation learning modeling method, device and readable storage medium
  • Federation learning modeling method, device and readable storage medium

Examples

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Embodiment Construction

[0076] It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0077] The embodiment of this application provides a federated learning modeling method. In the first embodiment of the federated learning modeling method of this application, the federated learning modeling method is applied to the first device. Refer to figure 1 , the federated learning modeling method includes:

[0078] Step S10, receiving the encryption model parameters sent by each second device and the verification parameters corresponding to the encryption model parameters;

[0079] In this embodiment, it should be noted that before performing federated learning modeling, the first device negotiates and interacts with each of the second devices to determine standard verification challenge parameters, where the standard verification challenge parameters The quantity can be determined when negotiating the in...

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Abstract

The invention discloses a federation learning modeling method, a device and a readable storage medium. The federation learning modeling method comprises the steps of carrying out federation learning modeling, receiving encryption model parameters sent by each second device and verification parameters corresponding to the encryption model parameters, based on each verification parameter, obtaininga verification result; and performing zero knowledge verification on each encryption model parameter to determine a false encryption model parameter in each encryption model parameter to obtain a zeroknowledge verification result, and then coordinating each second device to perform federation learning modeling based on the zero knowledge verification result and each encryption model parameter. The technical problems that federation learning modeling is low in efficiency and poor in accuracy are solved.

Description

technical field [0001] The present application relates to the artificial intelligence field of financial technology (Fintech), and in particular to a federated learning modeling method, device and readable storage medium. 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 computer software and artificial intelligence, the development of federated learning modeling has become more and more mature. At present, each participant in federated learning modeling usually feeds back its own encrypted model parameters to the coordinator of federated learning modeling. Then the coordinator aggregates the encrypted model parameters and feeds back the ...

Claims

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Application Information

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IPC IPC(8): G06N20/00G06N5/02G06F21/60
CPCG06F21/602G06F2221/2107G06N5/02G06N20/00
Inventor 李月蔡杭范力欣张天豫吴锦和
Owner WEBANK (CHINA)
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