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The Internet of Things under Federated Learning:A Review of the Latest Advances and Applications

The Internet of Things under Federated Learning:A Review of the Latest Advances and Applications

作     者:Jinlong Wang Zhenyu Liu Xingtao Yang Min Li Zhihan Lyu 

作者机构:School of Information and Control EngineeringQingdao University of TechnologyQingdao260043China Anhui Province Key Laboratory of Intelligent Building&Building Energy SavingAnhui Jianzhu UniversityHefei230000China Department of Game DesignUppsala UniversityUppsala75310Sweden 

基  金:supported by the Shandong Province Science and Technology Project(2023TSGC0509,2022TSGC2234) Qingdao Science and Technology Plan Project(23-1-5-yqpy-2-qy) Open Topic Grants of Anhui Province Key Laboratory of Intelligent Building&Building Energy Saving,Anhui Jianzhu University(IBES2024KF08) 

出 版 物:《Computers, Materials & Continua》 (计算机、材料和连续体(英文))

年 卷 期:2025年第82卷第1期

页      码:1-39页

摘      要:With the rapid development of artificial intelligence,the Internet of Things(IoT)can deploy various machine learning algorithms for network and application *** the IoT environment,many sensors and devices generatemassive data,but data security and privacy protection have become a serious *** learning(FL)can achieve many intelligent IoT applications by training models on local devices and allowing AI training on distributed IoT devices without data *** review aims to deeply explore the combination of FL and the IoT,and analyze the application of federated learning in the IoT from the aspects of security and privacy *** this paper,we first describe the potential advantages of FL and the challenges faced by current IoT systems in the fields of network burden and privacy ***,we focus on exploring and analyzing the advantages of the combination of FL on the Internet,including privacy security,attack detection,efficient communication of the IoT,and enhanced learning *** also list various application scenarios of FL on the ***,we propose several open research challenges and possible solutions.

主 题 词:Federated learning Internet of Things sensors machine learning privacy security 

学科分类:1305[艺术学-设计学类] 13[艺术学] 081104[081104] 08[工学] 0804[工学-材料学] 081101[081101] 0811[工学-水利类] 

核心收录:

D O I:10.32604/cmc.2024.058926

馆 藏 号:203156593...

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