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Joint learning-based statement quality inspection method, apparatus and device, and storage medium

A federation and sentence technology, applied in the field of financial technology, can solve the problems of inaccurate quality inspection and long preparation time in the early stage of sentence quality inspection.

Pending Publication Date: 2020-07-17
WEBANK (CHINA)
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Problems solved by technology

[0006] The main purpose of the present invention is to provide a sentence quality inspection method, device, equipment and storage medium based on federated learning, aiming to solve the technical problems of long preparation time and inaccurate quality inspection in the prior art

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  • Joint learning-based statement quality inspection method, apparatus and device, and storage medium
  • Joint learning-based statement quality inspection method, apparatus and device, and storage medium
  • Joint learning-based statement quality inspection method, apparatus and device, and storage medium

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Embodiment Construction

[0040] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0041] The present invention provides a sentence quality inspection device based on federated learning, referring to figure 1 , figure 1 It is a schematic structural diagram of the device hardware operating environment involved in the embodiment scheme of the sentence quality inspection device based on federated learning in the present invention.

[0042] Such as figure 1As shown, the sentence quality inspection device based on federated learning may include: a processor 1001 , such as a CPU, a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the opt...

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Abstract

The invention discloses a federated learning-based statement quality inspection method, apparatus and device, and a storage medium. The method comprises the following steps: a step of preparing a precursor; when the first terminal obtains the quality inspection example sentence, a first network model corresponding to the first terminal is trained, a first model gradient obtained by training the first network model is transmitted to a federation server, and the federation server aggregates the received first model gradient and a second model gradient sent by at least one second terminal; and the first terminal receives the return gradient sent by the federation server, trains the first network model based on the return gradient to generate a federation quality inspection model, and calls the federation quality inspection model to perform quality inspection on the received statement to be subjected to quality inspection. According to the invention, the federated quality inspection modelis combined with the multi-party data for quality inspection on the premise that the data privacy of each party is strictly protected, so that the safety of the data of each party is protected while the quality inspection accuracy is ensured.

Description

technical field [0001] The present invention relates to the technical field of financial technology (Fintech), in particular to a sentence quality inspection method, device, equipment and storage medium based on federated learning. Background technique [0002] With the continuous development of financial technology (Fintech), especially Internet technology finance, more and more technologies (such as artificial intelligence, big data, cloud storage, etc.) Higher requirements, such as requiring more comprehensive and accurate quality inspection of sentences. [0003] At present, the services of artificial agents cover all aspects of life. The service statements of artificial agents can be used to reflect the operational risks of the service platform from the side. The more standardized the service statements of artificial agents, the lower the operational risk of the service platform. The less standardized the service statement, the more statements related to terrorism and ...

Claims

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Application Information

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IPC IPC(8): G06F21/62G06N20/00
CPCG06F21/6245G06N20/00
Inventor 黄研洲杨海军徐倩杨强
Owner WEBANK (CHINA)
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