A blockchained federated learning framework for cognitive computing in industry 4.0 networks Qu, Youyang, Pokhrel, Shiva Raj, Garg, Sahil, Gao, Longxiang and Xiang, Yong 2020, A blockchained federated learning framework for cognitive computing in industry 4.0 networks, IEEE transactions on industrial informatics, pp. 1-10, doi: 10.1109/tii.2020.3007817. Attached Files Name Description MIMEType Size Downloads Title A blockchained federated learning framework for cognitive computing in industry 4.0 networks Author(s) Qu, Youyang orcid.org/0000-0002-2944-4647 Pokhrel, Shiva Raj orcid.org/0000-0001-5712-2824 Garg, Sahil Gao, Longxiang orcid.org/0000-0001-9734-1140 Xiang, Yong orcid.org/0000-0001-5252-0831 Journal name IEEE transactions on industrial informatics Start page 1 End page 10 Total pages 10 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Publication date 2020-07-07 ISSN 1551-3203 1941-0050 Keyword(s) Smart Manufacturing Big Data-Driven Cognitive Computing Federated Learning Blockchain Industry 4.0 Language eng DOI 10.1109/tii.2020.3007817 Indigenous content off Field of Research 08 Information and Computing Sciences 09 Engineering 10 Technology HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30140834 Document type: Journal Article 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 Fri, 14 Aug 2020, 13:41:46 EST Sat, 15 Aug 2020, 05:00:32 EST Sun, 16 Aug 2020, 22:57:15 EST Mon, 17 Aug 2020, 16:34:40 EST Tue, 18 Aug 2020, 06:03:22 EST Fri, 11 Sep 2020, 11:18:17 EST Fri, 11 Sep 2020, 11:20:45 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 9 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Mon, 17 Aug 2020, 16:34:40 EST

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