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

A federated and sample technology, applied in the field of artificial intelligence of financial technology, can solve problems such as low efficiency of algorithm model construction, and achieve the effect of solving low construction efficiency, shortening construction time, and improving computing efficiency

Active Publication Date: 2021-05-18
WEBANK (CHINA)
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  • Summary
  • Abstract
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  • Claims
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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, device and readable storage medium based on federated learning
  • Sample sampling method, device and readable storage medium based on federated learning
  • Sample sampling method, device and readable storage medium based on federated learning

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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 present application discloses a sample sampling method, device, and readable storage medium based on federated learning. The sample sampling method based on federated learning includes: performing sample alignment on a second device associated with the first device to obtain the first A sample data, based on a preset sampling ratio and a preset sampling method, obtain a sampling ratio corresponding to the first sample data, and perform sampling ratio processing on the intermediate parameters of the federated learning based on the sampling ratio , to construct the target algorithm model by performing sample label-based sampling processing on the intermediate parameters. The present application solves the technical problem of low efficiency of algorithmic model construction.

Description

technical field [0001] The present application relates to the artificial intelligence technology field 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 finance, more and more technologies (such as distributed, blockchain, artificial intelligence, etc.) are applied in the financial field, but the financial industry also puts forward higher requirements for technology. 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....

Claims

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Application Information

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Patent Type & Authority Patents(China)
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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