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

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

Active Publication Date: 2021-04-23
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 transfer method, device, equipment and medium based on federated learning
  • Knowledge transfer method, device, equipment and medium based on federated learning
  • Knowledge transfer method, device, equipment and medium based on federated learning

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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 present application discloses a federated learning-based knowledge transfer method, device, device, and medium. The federated learning-based knowledge transfer method includes: receiving each reinforcement learning training model for different training tasks, and performing each of the reinforcement learning training Adapting the model to obtain a reinforcement learning adaptation model, performing federated processing on each of the reinforcement learning adaptation models to obtain a federated model, adapting the federated model to obtain a federated adaptation model, and combining each of the federated adaptation models The matching model is sent to the training device corresponding to each of the reinforcement learning training models, so as to iteratively train each of the reinforcement learning training models. This application solves the technical problem of low knowledge transfer efficiency.

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 Patents(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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