Federated learning method and device

A learning method and federated technology, applied in the field of financial technology and federated learning, can solve the problem that the performance of the federated learning model cannot meet the predetermined requirements.

Pending Publication Date: 2019-12-20
WEBANK (CHINA)
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Problems solved by technology

[0004] The embodiment of the present application provides a federated learning method and device, which solves the problem that the performance of the federated learning model obtained in the prior art cannot meet the predetermined requirements

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  • Federated learning method and device
  • Federated learning method and device

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[0031] In order to better understand the above technical solutions, the above technical solutions will be described in detail below in conjunction with the drawings and specific implementations of the specification. It should be understood that the embodiments of the application and the specific features in the embodiments are detailed to the technical solutions of the application. Note, rather than limiting the technical solution of the present application, the embodiments of the present application and the technical features in the embodiments can be combined with each other if there is no conflict.

[0032] Federated learning refers to the method of machine learning by uniting different participants. Such as figure 1 As shown, a joint model parameter update of federated learning is divided into two steps: (a) Each participant (also known as data owner, or client) only uses its own locally owned data to train The machine learns the model and obtains model parameter updates, and...

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Abstract

The invention discloses a federated learning method and device. The method comprises the steps that a coordinator receives reports of multiple participants; the coordinator determines participants meeting a preset condition as participants participating in federated learning according to the reports of the plurality of participants; wherein the report represents the expected available resource condition of the participant; and the coordinator performs federated learning model training through the participants participating in federated learning. When the method is applied to financial scienceand technology (Fintech), participants who do not meet expected available resource conditions are removed as much as possible, so that in the process that a coordinator performs federated learning through the participants participating in federated learning, the influence of participant transmission efficiency on federated learning model performance in the federated learning process is reduced.

Description

Technical field [0001] The present invention relates to the field of financial technology (Fintech) and the field of federal learning, and in particular to a method and device for federal learning. Background technique [0002] With the development of computer technology, more and more technologies (big data, distributed, Blockchain, artificial intelligence, etc.) are applied in the financial field, and the traditional financial industry is gradually transforming into Fintech. At present, the adjustment of many financial strategies in the financial technology field relies on the results of federated learning of a large amount of financial transaction data. The adjustment of corresponding financial strategies is likely to affect the profit and loss of financial institutions. Therefore, for a financial institution, the performance of its federated learning model is critical. [0003] When the number of participants in federated learning is large, especially when the participants are...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/00
CPCG06N20/00
Inventor 程勇衣志昊刘洋陈天健
Owner WEBANK (CHINA)
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