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Block chain model training method and device, storage medium and electronic equipment

A model training and block chain technology, applied in computing models, computer security devices, electrical digital data processing, etc., to avoid single point failures and ensure information security

Pending Publication Date: 2022-06-10
NEUSOFT CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in some scenarios, federated learning also faces challenges in information security

Method used

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  • Block chain model training method and device, storage medium and electronic equipment
  • Block chain model training method and device, storage medium and electronic equipment
  • Block chain model training method and device, storage medium and electronic equipment

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Experimental program
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Embodiment Construction

[0092] The specific embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings. It should be understood that the

[0094] FIG. 1 is a schematic diagram of a federated learning framework shown in the present disclosure, wherein the central server is responsible for maintaining all

[0096] To this end, the present disclosure provides a blockchain model training method, which is applied to a target node in a blockchain network. This

[0098] In step 21, the current global model is obtained from the blockchain of the blockchain network.

[0099] In step 22, the global model is trained through the local training samples to obtain an updated model.

[0100] Illustratively, the target node can download the current global model from the blockchain, and pass the local training samples

[0103] The global model is trained through the local training samples and the node weight parameters to obtain an updated model.

[0104] As an e...

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PUM

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Abstract

The invention relates to a block chain model training method and device, a storage medium and electronic equipment, the method is applied to a target node in a block chain network, the target node is any block chain node in a block chain node set, and each block chain node in the block chain node set is deployed with a model training smart contract. The method comprises the following steps: acquiring a current global model from a block chain of the block chain network; training the global model through a local training sample to obtain an updated model; a model updating request is sent to an endorsement node of the model training smart contract in a block chain node set, the model updating request comprises model information of the updating model, and the model updating request is used for requesting the endorsement node to test the updating model according to own sample data; receiving a first test result of the endorsement node; and updating the current global model according to the updated model and the first test result.

Description

Blockchain model training method, device, storage medium and electronic device technical field [0001] The present disclosure relates to the field of information technology, and in particular, to a method, device, and storage medium for training a blockchain model. quality and electronic equipment. Background technique [0002] Federated learning is a machine learning framework aimed at training high-quality ensemble models. The experimental results obtained are similar to the results of integrating multi-party data and centrally modeling. Also, related technologies of the same kind In contrast, the federated learning architecture has the advantages of not requiring expensive encryption hardware and open source platforms. [0003] However, in some scenarios, federated learning also faces challenges in information security. SUMMARY OF THE INVENTION The purpose of this disclosure is to provide a block chain model training method, device, storage medium and electronic e...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N20/00G06F21/62
CPCG06N20/00G06F21/6218G06F18/217
Inventor 何光宇刘思瀚徐石成
Owner NEUSOFT CORP