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Sample sampling method and device based on federated learning and readable storage medium

A federal and sample technology, applied in the artificial intelligence field of financial technology, can solve the problem of low efficiency of algorithm model construction

Active Publication Date: 2020-06-26
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 sample sampling method, device and readable storage medium based on federated learning, aiming to solve the technical problem of low efficiency of algorithmic model construction in the prior art

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  • Sample sampling method and device based on federated learning and readable storage medium
  • Sample sampling method and device based on federated learning and readable storage medium
  • Sample sampling method and device based on federated learning and readable storage medium

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Embodiment Construction

[0094] 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.

[0095] The embodiment of the present application provides a sample sampling method based on federated learning, and the sample sampling method is applied to the first device for federated learning. In the first embodiment of the sample sampling method based on federated learning in this application, refer to figure 1 , the sample sampling method based on federated learning includes:

[0096] Step S10, performing sample alignment on a second device associated with the first device to obtain first sample data;

[0097]In this embodiment, it should be noted that the first device and the second device can perform federated learning, the first device includes a first sample ID (Identity document, ID card identification number), and the The second device includes a second sample ID.

[0098] performin...

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Abstract

The invention discloses a federated learning-based sample sampling method, federated learning-based sample sampling equipment and a readable storage medium. The federated learning-based sample sampling method comprises the following steps of: obtaining a federated learning-based sample; performing sample alignment with a second device associated with the first device, obtaining first sample data,and based on a preset sampling proportion and a preset sampling mode, obtaining a sampling proportion number corresponding to the first sample data, and based on the sampling proportion number, performing sampling proportion number processing on the federated learning intermediate parameter to construct a target algorithm model by performing sampling processing based on a sample label on the intermediate parameter. According to the invention, the technical problem of low algorithm model construction efficiency is solved.

Description

technical field [0001] This application relates to the field of artificial intelligence technology of financial technology (Fintech), and in particular to a sample sampling method, device and readable storage medium based on federated learning. 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. Federated learning in machine learning modeling usually requires sample alignment to obtain sample data. When performing sample alignment, it usually requires Perform data sampling. At present, when performing sample align...

Claims

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Application Information

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IPC IPC(8): G06Q40/02G06N20/00G06K9/62
CPCG06N20/00G06Q40/03G06F18/24323
Inventor 马国强范涛郑会钿魏文斌谭明超陈天健杨强
Owner WEBANK (CHINA)
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