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RR-LADP: A Privacy-Enhanced Federated Learning Scheme for Internet of Everything

Zerui Li Orcid Logo, Yuchen Tian, Weizhe Zhang Orcid Logo, Qing Liao Orcid Logo, Yang Liu Orcid Logo, Xiaojiang Du Orcid Logo, Mohsen Guizani Orcid Logo

IEEE Consumer Electronics Magazine, Volume: 10, Issue: 5, Pages: 93 - 101

Swansea University Author: Yang Liu Orcid Logo

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DOI (Published version): 10.1109/mce.2021.3059958

Published in: IEEE Consumer Electronics Magazine
ISSN: 2162-2248 2162-2256
Published: Institute of Electrical and Electronics Engineers (IEEE) 2021
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa67399
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first_indexed 2024-09-20T12:44:22Z
last_indexed 2024-09-20T12:44:22Z
id cronfa67399
recordtype SURis
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spelling v2 67399 2024-08-15 RR-LADP: A Privacy-Enhanced Federated Learning Scheme for Internet of Everything ba37dab58c9093dc63c79001565b75d4 0000-0003-2486-5765 Yang Liu Yang Liu true false 2024-08-15 MACS Journal Article IEEE Consumer Electronics Magazine 10 5 93 101 Institute of Electrical and Electronics Engineers (IEEE) 2162-2248 2162-2256 5 8 2021 2021-08-05 10.1109/mce.2021.3059958 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University This work was supported in part by the National Key Research and Development Program of China under Grant 2017YFB0802204, in part by the Key-Area Research and Development Program for Guangdong Province, China, under Grant 2019B010136001, in part by the Basic Research Project of Shenzhen, China, under Grant JCYJ20190806143418198, and in part by the Basic Research Project of Shenzhen, China, under Grant JCYJ20190806142601687. 2024-09-20T13:44:42.1058759 2024-08-15T17:05:56.9004990 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Zerui Li 0000-0001-8801-5300 1 Yuchen Tian 2 Weizhe Zhang 0000-0003-4783-876x 3 Qing Liao 0000-0003-1012-5301 4 Yang Liu 0000-0003-2486-5765 5 Xiaojiang Du 0000-0003-4235-9671 6 Mohsen Guizani 0000-0002-8972-8094 7
title RR-LADP: A Privacy-Enhanced Federated Learning Scheme for Internet of Everything
spellingShingle RR-LADP: A Privacy-Enhanced Federated Learning Scheme for Internet of Everything
Yang Liu
title_short RR-LADP: A Privacy-Enhanced Federated Learning Scheme for Internet of Everything
title_full RR-LADP: A Privacy-Enhanced Federated Learning Scheme for Internet of Everything
title_fullStr RR-LADP: A Privacy-Enhanced Federated Learning Scheme for Internet of Everything
title_full_unstemmed RR-LADP: A Privacy-Enhanced Federated Learning Scheme for Internet of Everything
title_sort RR-LADP: A Privacy-Enhanced Federated Learning Scheme for Internet of Everything
author_id_str_mv ba37dab58c9093dc63c79001565b75d4
author_id_fullname_str_mv ba37dab58c9093dc63c79001565b75d4_***_Yang Liu
author Yang Liu
author2 Zerui Li
Yuchen Tian
Weizhe Zhang
Qing Liao
Yang Liu
Xiaojiang Du
Mohsen Guizani
format Journal article
container_title IEEE Consumer Electronics Magazine
container_volume 10
container_issue 5
container_start_page 93
publishDate 2021
institution Swansea University
issn 2162-2248
2162-2256
doi_str_mv 10.1109/mce.2021.3059958
publisher Institute of Electrical and Electronics Engineers (IEEE)
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 0
active_str 0
published_date 2021-08-05T13:44:41Z
_version_ 1810719080392425472
score 11.028798

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