典型文献
Federated Learning for 6G:Applications,Challenges,and Opportunities
文献摘要：
Standard machine-learning approaches involve the centralization of training data in a data center,where centralized machine-learning algorithms can be applied for data analysis and inference.However,due to privacy restrictions and limited communication resources in wireless networks,it is often undesirable or impractical for the devices to transmit data to parameter sever.One approach to mitigate these problems is federated learning(FL),which enables the devices to train a common machine learning model without data sharing and transmission.This paper provides a comprehensive overview of FL applications for envi-sioned sixth generation(6G)wireless networks.In particular,the essential requirements for applying FL to wireless communications are first described.Then potential FL applications in wireless communica-tions are detailed.The main problems and challenges associated with such applications are discussed.Finally,a comprehensive FL implementation for wireless communications is described.
文献关键词：
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作者姓名：
Zhaohui Yang;Mingzhe Chen;Kai-Kit Wong;H.Vincent Poor;Shuguang Cui
作者机构：
Department of Electronic and Electrical Engineering,University College London,London WC1E 6BT,UK;Department of Electrical and Computer Engineering,Princeton University,Princeton,NJ 08544,USA;Shenzhen Research Institute of Big Data,The Chinese University of Hong Kong,Shenzhen 518172,China;School of Science and Engineering and Future Network of Intelligence Institute,The Chinese University of Hong Kong,Shenzhen 518172,China
文献出处：
引用格式：
[1]Zhaohui Yang;Mingzhe Chen;Kai-Kit Wong;H.Vincent Poor;Shuguang Cui-.Federated Learning for 6G:Applications,Challenges,and Opportunities)[J].工程（英文）,2022(01):33-41
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B类：
Federated,Learning,6G,Applications,Challenges,Opportunities,Standard,machine,learning,approaches,involve,centralization,training,data,center,where,centralized,algorithms,can,applied,analysis,inference,However,due,privacy,restrictions,limited,resources,wireless,networks,often,undesirable,impractical,devices,transmit,parameter,sever,One,mitigate,these,problems,federated,FL,which,enables,common,model,without,sharing,transmission,This,paper,provides,comprehensive,overview,applications,envi,sioned,sixth,generation,In,particular,essential,requirements,applying,communications,are,first,described,Then,potential,detailed,main,challenges,associated,such,discussed,Finally,implementation
AB值：
0.623902
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