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Federated Learning for Internet of Things: A Comprehensive Survey

Nguyen, DC, Ding, M, Pathirana, Pubudu, Seneviratne, A, Li, J and Poor, HV 2021, Federated Learning for Internet of Things: A Comprehensive Survey, IEEE Communications Surveys and Tutorials, pp. 1-38, doi: 10.1109/COMST.2021.3075439.

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Title Federated Learning for Internet of Things: A Comprehensive Survey
Author(s) Nguyen, DC
Ding, M
Pathirana, PubuduORCID iD for Pathirana, Pubudu orcid.org/0000-0001-8014-7798
Seneviratne, A
Li, J
Poor, HV
Journal name IEEE Communications Surveys and Tutorials
Start page 1
End page 38
Total pages 38
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2021-04-26
ISSN 1553-877X
1553-877X
Keyword(s) Federated learning
Internet of Things
Artificial Intelligence
Machine Learning
Privacy
Notes In Press
Language eng
DOI 10.1109/COMST.2021.3075439
Indigenous content off
Field of Research 0805 Distributed Computing
0906 Electrical and Electronic Engineering
1005 Communications Technologies
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30151391

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.