Data processing method, device, equipment and medium

A technology for data processing and user data, applied in computing models, machine learning, computing, etc., can solve problems such as low federation efficiency of mid-end device models

Pending Publication Date: 2020-11-06
WEBANK (CHINA)
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  • 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 data processing method, device, device and medium, aiming to solve the technical problem of low federation efficiency of mid-end device models in the prior art

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  • Data processing method, device, equipment and medium
  • Data processing method, device, equipment and medium
  • Data processing method, device, equipment and medium

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Embodiment Construction

[0072] 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.

[0073] The embodiment of the present application provides a data processing method. In the first embodiment of the data processing method of the present application, refer to figure 1 , applied to the first participant, the first participant communicates with the server, and the data processing method includes:

[0074] Step S10, acquiring sample data, the sample data including user data and item data;

[0075] Step S20, locally determining the user embedding vector of the user data at the first participant, and receiving the item embedding vector sent by the server, the item embedding vector being locally generated at the server based on the item data;

[0076] Step S30, based on the user embedding vector and the item embedding vector, obtain a preset prediction model of the first participant th...

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Abstract

The invention discloses a data processing method and device, equipment and a medium. The method comprises steps of obtaining sample data which comprises user data and article data; determining a userembedding vector of the user data locally at the first participant, and receiving an article embedding vector sent by a server, the article embedding vector being generated locally at the server basedon the article data; and based on the user embedding vector and the article embedding vector, obtaining a preset prediction model of the first participant through federated learning training. The method is advantaged in that a technical problem of low federation efficiency of an end device model in the prior art is solved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence in financial technology (Fintech), and in particular to a data processing method, device, equipment and medium. 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 financial industry also has higher requirements for data processing. [0003] Federated learning is to jointly train machine learning models with multiple participants while ensuring data privacy. At present, in the process of federated learning, the participants usually convert different sample data into an embedding vector and interact with the server for federation. Modeling, however, this method will generate a lot of computing overhead and communication overhead, and the computing power of each participant, that...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/00
CPCG06N20/00
Inventor 衣志昊程勇刘洋陈天健
Owner WEBANK (CHINA)
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