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Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions

Ramu, SP, Boopalan, P, Pham, QV, Maddikunta, PKR, Huynh-The, T, Alazab, M, Nguyen, Thanh Thi and Gadekallu, TR 2022, Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions, Sustainable Cities and Society, vol. 79, pp. 1-13, doi: 10.1016/j.scs.2021.103663.

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Title Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions
Author(s) Ramu, SP
Boopalan, P
Pham, QV
Maddikunta, PKR
Huynh-The, T
Alazab, M
Nguyen, Thanh ThiORCID iD for Nguyen, Thanh Thi orcid.org/0000-0001-9709-1663
Gadekallu, TR
Journal name Sustainable Cities and Society
Volume number 79
Article ID 103663
Start page 1
End page 13
Total pages 13
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2022-04
ISSN 2210-6707
Language eng
DOI 10.1016/j.scs.2021.103663
Field of Research 0502 Environmental Science and Management
1205 Urban and Regional Planning
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30161982

Document type: Journal Article
Collections: Faculty of Science, Engineering and Built Environment
School of Information Technology
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Scopus Citation Count Cited 2 times in Scopus Google Scholar Search Google Scholar
Access Statistics: 18 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Thu, 27 Jan 2022, 09:59:11 EST

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