DP-GenFL: a local differentially private federated learning system through generative data

被引：0

作者：

Jun LI ^{[1
]}

Kang WEI ^{[1
]}

Chuan MA ^{[2
,1
,3
]}

Feng SHU ^{[4
]}

机构：

[1] School of Electronic and Optical Engineering, Nanjing University of Science and Technology

[2] Zhejiang Lab

[3] Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education

[4] School of Information and Communication Engineering, Hainan University

来源：

ScienceChina(InformationSciences) | 2023年 / 66卷 / 08期

基金：

中国国家自然科学基金;

关键词：

D O I：

暂无

中图分类号：

TP181 [自动推理、机器学习]; TP309 [安全保密];

学科分类号：

081104 ; 0812 ; 081201 ; 0835 ; 0839 ; 1402 ; 1405 ;

摘要：

With the rapid development of the Internet of Things(Io T),the amount of data from intelligent devices is propagating at unprecedented scales. Meanwhile, machine learning(ML),which relies heavily on such data, is revolutionizing many aspects of our lives [1]. However, conventional centralized ML offers little scalability for efficiently processing this huge amount of data.

引用

页码：275 / 276

页数：2

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