| Title | Digital Twin-enabled Federated Learning in Mobile Networks: From the Perspective of Communication-assisted Sensing |
| Author | |
| Publication Years | 2023
|
| DOI | |
| Source Title | |
| ISSN | 1558-0008
|
| Volume | PPIssue:99Pages:1-1 |
| Keywords | |
| URL | [Source Record] |
| SUSTech Authorship | Others
|
| ESI Research Field | COMPUTER SCIENCE
|
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10234391 |
| Citation statistics |
Cited Times [WOS]:0
|
| Document Type | Journal Article |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/559303 |
| Affiliation | 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 |
| Recommended Citation 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.
|
| Files in This Item: | There are no files associated with this item. | |||||
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