FengHuoLun: a federated learning based Edge Computing platform for Cyber-Physical Systems Zhang, Chong, Liu, Xiao, Zheng, Xi, Li, Rui and Liu, Huai 2020, FengHuoLun: a federated learning based Edge Computing platform for Cyber-Physical Systems, in PerCom Workshops : Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 1-4, doi: 10.1109/percomworkshops48775.2020.9156259. Attached Files Name Description MIMEType Size Downloads Title FengHuoLun: a federated learning based Edge Computing platform for Cyber-Physical Systems Author(s) Zhang, Chong Liu, Xiao orcid.org/0000-0001-8400-5754 Zheng, Xi Li, Rui Liu, Huai Conference name IEEE Computer Society. International Conference (18th : 2020 : Austin, Texas) Conference location Austin, Texas Conference dates 2020/03/23 - 2020/03/27 Title of proceedings PerCom Workshops : Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops Editor(s) [Unknown] Publication date 2020 Series IEEE Computer Society International Conference Start page 1 End page 4 Total pages 4 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Keyword(s) Federated Learning Edge Computing Cyber-Physical Systems Trustworthy Microservices ISBN 978-1-7281-4716-1 Language eng DOI 10.1109/percomworkshops48775.2020.9156259 Indigenous content off HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30140694 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Sat, 08 Aug 2020, 22:59:33 EST Sun, 09 Aug 2020, 05:00:17 EST Sun, 09 Aug 2020, 21:13:14 EST Mon, 10 Aug 2020, 13:38:05 EST Tue, 11 Aug 2020, 06:03:39 EST Tue, 08 Sep 2020, 12:29:30 EST Tue, 08 Sep 2020, 12:33:27 EST Sat, 17 Oct 2020, 01:33:53 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 60 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Mon, 10 Aug 2020, 13:38:05 EST

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