南方科技大学知识苑(SUSTech KC): Digital Twin-enabled Federated Learning in Mobile Networks: From the Perspective of Communication-assisted Sensing

题名	Digital Twin-enabled Federated Learning in Mobile Networks: From the Perspective of Communication-assisted Sensing
作者	Junsheng Mu 1; Wenjiang Ouyang 1; Tao Hong 2; Weijie Yuan3 ; Yuanhao Cui 1; Zexuan Jing 1
发表日期	2023
DOI	10.1109/JSAC.2023.3310082
发表期刊	IEEE Journal on Selected Areas in Communications 影响因子和分区
ISSN	1558-0008
卷号	PP 期号:99页码:1-1
关键词	Digital Twin Federated Learning Mobile Network Communication-assisted Sensing
相关链接	[IEEE记录]
收录类别	SCI ; EI
学校署名	其他
WOS记录号	WOS:001105109600003
EI入藏号	20233614685831
EI主题词	5G mobile communication systems ; Blockchain ; E-learning ; Extraction ; Feature extraction ; Learning systems ; Network architecture ; Virtual reality
EI分类号	Radio Systems and Equipment:716.3 ; Data Communication, Equipment and Techniques:722.3 ; Computer Software, Data Handling and Applications:723 ; Database Systems:723.3 ; Chemical Operations:802.3
ESI学科分类	COMPUTER SCIENCE
来源库	IEEE
全文链接	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10234391
引用统计	被引频次[WOS]：6
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/559303
专题	南方科技大学
作者单位	1.School of Information and Communication Engineering, Beijing University of Posts and Communications (BUPT), Beijing, China 2.School of Electronic Information Engineering, Beihang University (BUAA), Beijing, China 3.School of Electronic, Southern University of Science and Technology, Shenzhen, China
推荐引用方式 GB/T 7714	Junsheng Mu,Wenjiang Ouyang,Tao Hong,et al. Digital Twin-enabled Federated Learning in Mobile Networks: From the Perspective of Communication-assisted Sensing[J]. IEEE Journal on Selected Areas in Communications,2023,PP(99):1-1.
APA	Junsheng Mu,Wenjiang Ouyang,Tao Hong,Weijie Yuan,Yuanhao Cui,&Zexuan Jing.(2023).Digital Twin-enabled Federated Learning in Mobile Networks: From the Perspective of Communication-assisted Sensing.IEEE Journal on Selected Areas in Communications,PP(99),1-1.
MLA	Junsheng Mu,et al."Digital Twin-enabled Federated Learning in Mobile Networks: From the Perspective of Communication-assisted Sensing".IEEE Journal on Selected Areas in Communications PP.99(2023):1-1.