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Model training method, device and equipment

A model training and model technology, applied in computing models, machine learning, instruments, etc., can solve problems such as inability to extract information, and achieve the effects of ensuring information security, improving information query and processing efficiency, and speeding up model training.

Pending Publication Date: 2021-02-26
LENOVO (BEIJING) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the process of model training, the required information cannot be quickly extracted from the blockchain

Method used

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  • Model training method, device and equipment
  • Model training method, device and equipment
  • Model training method, device and equipment

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Embodiment Construction

[0029] The principle and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are given only to enable those skilled in the art to better understand and implement the present invention, rather than to limit the scope of the present invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0030] The technical solutions of the present invention will be further elaborated below in conjunction with the accompanying drawings and specific embodiments.

[0031] figure 1 It shows the implementation process of the model training method of the embodiment of the present invention Figure 1 .

[0032] refer to figure 1 , the model training method of the embodiment of the present invention is applied to the training party node in the task participant n...

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Abstract

The invention discloses a model training method, device and equipment, and the method comprises the steps: obtaining an initial model parameter from a first block chain which is used for recording theinitial parameter of an artificial intelligence model and the model information of the artificial intelligence model passing the verification, carrying out the model training according to the initialmodel parameter, and obtaining a first model, constructing a transaction information block used for showing training and verification of the first model on a second block chain used for recording training process information and verification process information of the artificial intelligence model; obtaining a verification result of the first model from the second block chain; and when the verification result shows that the proportion of the model verifier nodes passing the verification of the first model reaches a set threshold, constructing a block used for showing the model information ofthe first model on the first block chain. Thus, the process of screening the model information from the redundant information of the block chain is effectively avoided, the information query and processing efficiency of model training based on the block chain is remarkably improved, and the model training speed is increased.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a model training method, device and equipment. Background technique [0002] Blockchain-based AI model training scenario BDML (Blockchain-based Distributed Machine Learning, blockchain-based distributed machine learning) refers to an alliance that uses blockchain technology to protect each participant in order to solve a specific artificial intelligence problem. Collaboratively train a model without party data being leaked. [0003] In the basic BDML system based on Hyperledger Fabric (Hyperledger Fabric), all transactions related to the voting of model verification in the process of model training are all stored on a blockchain, and the information is cumbersome. In the process of model training, it is impossible to quickly extract the required information from the blockchain. Contents of the invention [0004] In order to solve the above problems, th...

Claims

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Application Information

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IPC IPC(8): G06N20/00G06F16/27
CPCG06N20/00G06F16/27
Inventor 张婉璐王奇刚陈飞飞李梅
Owner LENOVO (BEIJING) CO LTD
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