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Federated Learning for Industrial Internet of Things in Future Industries

Nguyen, DC, Ding, M, Pathirana, Pubudu, Seneviratne, A, Li, J, Niyato, D and Poor, HV 2021, Federated Learning for Industrial Internet of Things in Future Industries, IEEE Wireless Communications Magazine, vol. 28, no. 6, pp. 192-199, doi: 10.1109/MWC.001.2100102.

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Title Federated Learning for Industrial Internet of Things in Future Industries
Author(s) Nguyen, DC
Ding, M
Pathirana, PubuduORCID iD for Pathirana, Pubudu orcid.org/0000-0001-8014-7798
Seneviratne, A
Li, J
Niyato, D
Poor, HV
Journal name IEEE Wireless Communications Magazine
Volume number 28
Issue number 6
Start page 192
End page 199
Total pages 8
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2021-12
ISSN 1070-9916
1558-0687
Keyword(s) Artificial intelligence
Computer Science
Computer Science, Hardware & Architecture
Computer Science, Information Systems
Data models
Engineering
Engineering, Electrical & Electronic
Industrial Internet of Things
Industries
Load modeling
Science & Technology
Servers
Technology
Telecommunications
Training
Language eng
DOI 10.1109/MWC.001.2100102
Field of Research 0805 Distributed Computing
0906 Electrical and Electronic Engineering
1005 Communications Technologies
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30161375

Document type: Journal Article
Collections: Faculty of Science, Engineering and Built Environment
School of Engineering
Institute for Health Transformation
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Citation counts: TR Web of Science Citation Count  Cited 2 times in TR Web of Science
Scopus Citation Count Cited 5 times in Scopus Google Scholar Search Google Scholar
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Created: Wed, 12 Jan 2022, 22:01:41 EST

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