Journal article 210 views
Defending Against Data Poisoning Attacks: From Distributed Learning to Federated Learning
The Computer Journal, Volume: 66, Issue: 3, Pages: 711 - 726
Swansea University Author:
Yang Liu
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DOI (Published version): 10.1093/comjnl/bxab192
Abstract
Defending Against Data Poisoning Attacks: From Distributed Learning to Federated Learning
Published in: | The Computer Journal |
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ISSN: | 0010-4620 1460-2067 |
Published: |
Oxford University Press (OUP)
2023
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Online Access: |
Check full text
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URI: | https://cronfa.swan.ac.uk/Record/cronfa67401 |
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2024-09-20T12:34:22Z |
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last_indexed |
2024-11-25T14:20:07Z |
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2024-09-20T13:34:31.0199376 v2 67401 2024-08-15 Defending Against Data Poisoning Attacks: From Distributed Learning to Federated Learning ba37dab58c9093dc63c79001565b75d4 0000-0003-2486-5765 Yang Liu Yang Liu true false 2024-08-15 MACS Journal Article The Computer Journal 66 3 711 726 Oxford University Press (OUP) 0010-4620 1460-2067 15 3 2023 2023-03-15 10.1093/comjnl/bxab192 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University Basic Research Project of Shenzhen, China (JCYJ20190806142601687, JCYJ20190806143418198 and JCYJ20200109113405927). 2024-09-20T13:34:31.0199376 2024-08-15T17:06:59.3910049 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Yuchen Tian 1 Weizhe Zhang 2 Andrew Simpson 3 Yang Liu 0000-0003-2486-5765 4 Zoe Lin Jiang 5 |
title |
Defending Against Data Poisoning Attacks: From Distributed Learning to Federated Learning |
spellingShingle |
Defending Against Data Poisoning Attacks: From Distributed Learning to Federated Learning Yang Liu |
title_short |
Defending Against Data Poisoning Attacks: From Distributed Learning to Federated Learning |
title_full |
Defending Against Data Poisoning Attacks: From Distributed Learning to Federated Learning |
title_fullStr |
Defending Against Data Poisoning Attacks: From Distributed Learning to Federated Learning |
title_full_unstemmed |
Defending Against Data Poisoning Attacks: From Distributed Learning to Federated Learning |
title_sort |
Defending Against Data Poisoning Attacks: From Distributed Learning to Federated Learning |
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ba37dab58c9093dc63c79001565b75d4 |
author_id_fullname_str_mv |
ba37dab58c9093dc63c79001565b75d4_***_Yang Liu |
author |
Yang Liu |
author2 |
Yuchen Tian Weizhe Zhang Andrew Simpson Yang Liu Zoe Lin Jiang |
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Journal article |
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The Computer Journal |
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66 |
container_issue |
3 |
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711 |
publishDate |
2023 |
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Swansea University |
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0010-4620 1460-2067 |
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10.1093/comjnl/bxab192 |
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Oxford University Press (OUP) |
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Faculty of Science and Engineering |
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|
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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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 |
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0 |
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published_date |
2023-03-15T08:17:40Z |
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1829542675196411904 |
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11.059058 |