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Information processing method and device, equipment and storage medium

An information processing method and processor technology, applied in the field of information processing, can solve problems such as inability to realize federated learning, inability to solve data communication problems, etc., and achieve the effect of solving data communication problems and realizing federated learning

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

However, in federated learning, data is distributed in different data owners. Therefore, the data analysis code written in the traditional SQL method is no longer applicable in the federated learning scenario, and cannot solve the data communication problem in federated learning. , so that federated learning cannot be realized

Method used

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  • Information processing method and device, equipment and storage medium
  • Information processing method and device, equipment and storage medium
  • Information processing method and device, equipment and storage medium

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Embodiment Construction

[0047] 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.

[0048] In traditional data statistics and analysis, since the data is on the same side, there is generally no need to consider which side the data is in when accessing, and access to data is less affected by permissions, and data in plaintext or close to plaintext can generally be obtained . In the scenario of federated learning, there are two or more data owners, that is, multiple institutions, through federated learning, it can e...

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Abstract

The invention discloses an information processing method and device, equipment and a storage medium, and the method comprises the steps: obtaining a first code which is generated based on a structured query language; analyzing the first code to obtain an intermediate code corresponding to the first code; according to the intermediate code, identifying local operation and operation of other participants in federated learning; according to the operation of the local place and the operation of the other participants obtained through recognition, target codes are generated, the target codes comprise codes of cross-site communication, the codes of the cross-site communication are used for achieving communication between the local place and the other participants, and the target codes are codes used for supporting execution of federal learning operation. According to the invention, the problem of data communication in federated learning can be solved, and then federated learning is realized.

Description

technical field [0001] The present invention relates to the field of information processing, in particular to an information processing method, device, equipment and storage medium. Background technique [0002] With the development of computer technology, more and more scenarios are applied to federated learning. In the scenario of federated learning, there are two or more data owners, that is, multiple institutions. Through federated learning, it can effectively help multiple institutions to use data while meeting the requirements of user privacy protection, data security, and certain rules. and machine learning modeling. [0003] In traditional data statistics and analysis, since the data is on the same side, there is generally no need to consider which side the data is in when accessing, and access to data is less affected by permissions, and data in plaintext or close to plaintext can generally be obtained . However, in federated learning, data is distributed in diff...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/242G06F16/25G06N20/00
CPCG06F16/2433G06F16/252G06N20/00
Inventor 黄铭毅林江淼黄启军李诗琦陈瑞钦
Owner WEBANK (CHINA)