Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing

doi:10.1109/JIOT.2021.3120998

DRO

Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing

Nguyen, DC, Ding, M, Pathirana, Pubudu, Seneviratne, A and Zomaya, AY 2021, Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing, IEEE Internet of Things Journal, pp. 1-15, doi: 10.1109/JIOT.2021.3120998.

Attached Files
Name			Description	MIMEType		Size	Downloads

Title	Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing
Author(s)	Nguyen, DC Ding, M Pathirana, Pubudu orcid.org/0000-0001-8014-7798 Seneviratne, A Zomaya, AY
Journal name	IEEE Internet of Things Journal
Start page	1
End page	15
Total pages	15
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Place of publication	Piscataway, NJ
Publication date	2021-10-19
ISSN	2327-4662
Keyword(s)	COVID-19 Edge cloud Federated learning Generative adversarial network
Language	eng
DOI	10.1109/JIOT.2021.3120998
Indigenous content	off
Field of Research	0805 Distributed Computing 1005 Communications Technologies
HERDC Research category	C1 Refereed article in a scholarly journal
Persistent URL	http://hdl.handle.net/10536/DRO/DU:30158423

Document type:	Journal Article
Collections:	Faculty of Science, Engineering and Built Environment School of Engineering


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Created:	Mon, 17 Jan 2022, 17:00:12 EST

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