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Model generation method and device, equipment and storage medium

A model generation and model technology, applied in the field of artificial intelligence, can solve the problem of heavy model development workload and achieve the effect of reducing workload

Pending Publication Date: 2022-05-13
WEBANK (CHINA)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The current federated learning includes multiple participants, and because the processing logic of different participants is different, when training the model, it is necessary to write different codes for different participants to realize their respective processing logic. The workload of its model development is relatively large

Method used

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  • Model generation method and device, equipment and storage medium
  • Model generation method and device, equipment and storage medium
  • Model generation method and device, equipment and storage medium

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Embodiment Construction

[0084] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0085] Guest: A role in the federated learning environment, usually the data application party, used to provide labeled data, and the guest party is also used to initiate the model building process.

[0086] host: A role in the federated learning environment, usually a data provider, used to provide data.

[0087] Arbiter: A role in the federated learning environment, usually an arbitrator, used to assist multiple parties to comple...

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Abstract

The invention discloses a model generation method and device, equipment and a storage medium, and the method comprises the steps: determining at least one participant corresponding to each calculation task in a plurality of calculation tasks, and the plurality of calculation tasks are calculation tasks in federal learning modeling; task codes corresponding to the calculation tasks are obtained; according to at least one participant corresponding to each calculation task and a task code corresponding to each calculation task, determining a model code; and performing model training according to the model code, and generating a first model corresponding to the federated learning modeling. For different participants, the same set of model codes can be shared for federated learning modeling, developers do not need to independently design program codes for different participants, and the workload of federated learning modeling is greatly reduced.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a model generation method, device, equipment and storage medium. Background technique [0002] The wide application of artificial intelligence technology can greatly improve the intelligence of production and life. Since the application of artificial intelligence technology is inseparable from a large amount of data, and as the compliance requirements for data acquisition become higher and higher, the data between various institutions or enterprises cannot communicate with each other, which has brought obstacles to the application of artificial intelligence technology. [0003] Federated learning can enable data usage and machine learning modeling under the premise of satisfying data security and compliance through the parameter exchange method under the encryption mechanism on the premise that the self-owned data of each institution or enterprise does not leave the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F8/35G06N20/00
CPCG06F8/35G06N20/00
Inventor 陈瑞钦黄启军黄铭毅陈天健
Owner WEBANK (CHINA)