基于区块链与联邦学习的医疗数据隐私保护机制研究
Research on Medical Data Privacy Protection Mechanism Based on Blockchain and Federated Learning
唐飞 1何平逊 2郭芷佟 2唐麒淞 2沈菊颖2
作者信息
- 1. 重庆邮电大学 重庆 400065
- 2. 重庆育才中学校 重庆 400050
- 折叠
摘要
本文基于区块链与联邦学习,对医疗数据隐私保护机制进行研究.首先阐述了本文的研究背景,分析了医疗数据隐私保护需求;然后概述了区块链、联邦学习等隐私保护技术;随后展示了基于区块链与联邦学习的医疗数据隐私保护机制,重点探讨了其具体设计方案.文章对于医疗数据的隐私保护具有重要意义,能够为相关领域的学术研究和实践应用提供有价值的参考.
Abstract
This paper studies the privacy protection mechanism of medical data based on blockchain and federated learning.Firstly,the research background of this paper is elaborated,and the needs for privacy protection of medical data are analyzed;Then an overview of privacy protection technologies such as blockchain and federated learning is provided;Subsequently,a medical data privacy protection mechanism based on blockchain and federated learning is presented,with a focus on exploring its specific design scheme.This paper is of great significance for the privacy protection of medical data and can provide valuable references for academic research and practical applications in related fields.
关键词
区块链/联邦学习/隐私保护/统计推断Key words
blockchain/federated learning/privacy protection/statistical inference引用本文复制引用
基金项目
重庆市教委雏鹰计划研究项目(CY220605)
出版年
2024
NETL
NSTL
万方数据