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Knowledge migration method and device based on federated learning, equipment and medium

A federation and knowledge technology, applied in the field of machine learning of financial technology, can solve the problem of low efficiency of knowledge transfer

Active Publication Date: 2020-05-08
WEBANK (CHINA)
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Problems solved by technology

[0004] The main purpose of this application is to provide a knowledge transfer method, device, device and medium based on federated learning, aiming to solve the technical problem of low efficiency of knowledge transfer in the prior art

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  • Knowledge migration method and device based on federated learning, equipment and medium
  • Knowledge migration method and device based on federated learning, equipment and medium
  • Knowledge migration method and device based on federated learning, equipment and medium

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Embodiment Construction

[0064] It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0065] An embodiment of the present application provides a federated learning-based knowledge transfer method, which is applied to a federated learning-based knowledge transfer device. In the first embodiment of the federated learning-based knowledge transfer method of this application , refer to figure 1 , the knowledge transfer method based on federated learning includes:

[0066] Step S10, receiving reinforcement learning training models for different training tasks, and adapting each reinforcement learning training model to obtain a reinforcement learning adaptation model;

[0067] In this embodiment, it should be noted that each of the reinforcement learning training models is obtained by different training devices performing model training based on different training tasks, for example, ass...

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Abstract

The invention discloses a knowledge migration method and device based on federated learning, equipment and a medium. The knowledge migration method based on federated learning comprises the followingsteps of: obtaining a knowledge migration result, receiving each reinforcement learning training model of different training tasks; adapting each reinforcement learning training model to obtain a reinforcement learning training model; obtaining a reinforcement learning adaptation model; and carrying out federation processing on each reinforcement learning adaptation model to obtain a federation model, adapting the federation model to obtain a federation adaptation model, and sending each federation adaptation model to training equipment corresponding to each reinforcement learning training model to carry out iterative training on each reinforcement learning training model. The technical problem of low knowledge migration efficiency is solved.

Description

technical field [0001] The present application relates to the technical field of machine learning in financial technology (Fintech), and in particular to a federated learning-based knowledge transfer method, device, 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 continuous development of computer software and artificial intelligence, the application of machine learning modeling is becoming more and more extensive. In the existing technology, the reinforcement learning training model usually uses the data collected by itself for learning, optimization and control. The reinforcement learning training model Knowledge is also transferable. For ex...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N5/02G06N20/00
CPCG06N5/022G06N20/00
Inventor 梁新乐刘洋陈天健董苗波
Owner WEBANK (CHINA)
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