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Transverse federation and longitudinal federation combination method and device, equipment and medium

A horizontal federation and federation technology, applied in the field of machine learning of financial technology, can solve the problem of high resource consumption of computing system

Active Publication Date: 2020-02-11
WEBANK (CHINA)
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to provide a method, device, device and medium for horizontal federation and vertical federation, aiming to solve the technical problem of high resource consumption of the computing system of the reinforcement learning model in the prior art

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  • Transverse federation and longitudinal federation combination method and device, equipment and medium
  • Transverse federation and longitudinal federation combination method and device, equipment and medium
  • Transverse federation and longitudinal federation combination method and device, equipment and medium

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Embodiment Construction

[0070] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0071] The present invention provides a method for combining horizontal federation and vertical federation, which is applied to horizontal federation and vertical federated equipment. In the first embodiment of the method for horizontal federation and vertical federation in this application, refer to figure 1 , the horizontal federation and vertical federation methods include:

[0072] Step S10, obtaining available public information, and inputting the available public information into the preset vertical federation server to obtain vector information;

[0073] In this embodiment, it should be noted that the vector information refers to the gradient information generated during the training process of the preset reinforcement learning model, wherein the gradient is a vector, and the bias of the preset loss function ca...

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Abstract

The invention discloses a transverse federation and longitudinal federation combination method and device, equipment and a medium. The transverse federation and longitudinal federation combination method comprises the steps of obtaining available public information, inputting the available public information into a preset longitudinal federation service party; obtaining vector information, and training a longitudinal federation model of the preset longitudinal federation service party based on the vector information, updating the network weight of each preset reinforcement learning model, periodically inputting each updated preset reinforcement learning model into a preset transverse federation server, and iteratively updating each updated preset reinforcement learning model. The technicalproblem of high resource consumption of a computing system of a reinforcement learning model in the prior art is solved.

Description

technical field [0001] The present invention relates to the technical field of machine learning of financial technology (Fintech), in particular to a horizontal federation and vertical federation combined method, device and 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 gradual development of artificial intelligence, the use of reinforcement learning to optimize control in the industry has been widely studied. In the existing technology, the reinforcement learning model usually uses the data collected by itself for learning, optimization and control. However, reinforcement The learning model itself often has some difficulties in collecting data. For exa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/00
CPCG06N20/00
Inventor 梁新乐刘洋陈天健董苗波
Owner WEBANK (CHINA)
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