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Conference Paper/Proceeding/Abstract 8 views 3 downloads

An Element-Wise Weights Aggregation Method for Federated Learning

Freya Hu, Hans Ren, Chen Hu, Jingjing Deng, Xianghua Xie Orcid Logo

2023 IEEE International Conference on Data Mining Workshops (ICDMW)

Swansea University Authors: Freya Hu, Hans Ren, Chen Hu, Xianghua Xie Orcid Logo

DOI (Published version): 10.1109/icdmw60847.2023.00031

Published in: 2023 IEEE International Conference on Data Mining Workshops (ICDMW)
Published: IEEE 2023
Online Access: http://dx.doi.org/10.1109/icdmw60847.2023.00031
URI: https://cronfa.swan.ac.uk/Record/cronfa66909
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first_indexed 2024-06-28T18:40:01Z
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spelling v2 66909 2024-06-28 An Element-Wise Weights Aggregation Method for Federated Learning aa73524c5e3969c88fb7a3a5bde919b1 Freya Hu Freya Hu true false 9e043b899a2b786672a28ed4f864ffcc Hans Ren Hans Ren true false 55d3ba5f8378c2e3439d7e3962aee726 Chen Hu Chen Hu true false b334d40963c7a2f435f06d2c26c74e11 0000-0002-2701-8660 Xianghua Xie Xianghua Xie true false 2024-06-28 MACS Conference Paper/Proceeding/Abstract 2023 IEEE International Conference on Data Mining Workshops (ICDMW) IEEE 4 12 2023 2023-12-04 10.1109/icdmw60847.2023.00031 http://dx.doi.org/10.1109/icdmw60847.2023.00031 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University 2024-06-28T19:42:59.9509876 2024-06-28T19:36:29.9177599 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Freya Hu 1 Hans Ren 2 Chen Hu 3 Jingjing Deng 4 Xianghua Xie 0000-0002-2701-8660 5 66909__30780__004e72648d4e4af3aa80d20ed82b1172.pdf An_Element_Wise_Weights_Aggregation_Method_for_Federated_Learning.pdf 2024-06-28T19:39:20.8028951 Output 902932 application/pdf Accepted Manuscript true false
title An Element-Wise Weights Aggregation Method for Federated Learning
spellingShingle An Element-Wise Weights Aggregation Method for Federated Learning
Freya Hu
Hans Ren
Chen Hu
Xianghua Xie
title_short An Element-Wise Weights Aggregation Method for Federated Learning
title_full An Element-Wise Weights Aggregation Method for Federated Learning
title_fullStr An Element-Wise Weights Aggregation Method for Federated Learning
title_full_unstemmed An Element-Wise Weights Aggregation Method for Federated Learning
title_sort An Element-Wise Weights Aggregation Method for Federated Learning
author_id_str_mv aa73524c5e3969c88fb7a3a5bde919b1
9e043b899a2b786672a28ed4f864ffcc
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b334d40963c7a2f435f06d2c26c74e11
author_id_fullname_str_mv aa73524c5e3969c88fb7a3a5bde919b1_***_Freya Hu
9e043b899a2b786672a28ed4f864ffcc_***_Hans Ren
55d3ba5f8378c2e3439d7e3962aee726_***_Chen Hu
b334d40963c7a2f435f06d2c26c74e11_***_Xianghua Xie
author Freya Hu
Hans Ren
Chen Hu
Xianghua Xie
author2 Freya Hu
Hans Ren
Chen Hu
Jingjing Deng
Xianghua Xie
format Conference Paper/Proceeding/Abstract
container_title 2023 IEEE International Conference on Data Mining Workshops (ICDMW)
publishDate 2023
institution Swansea University
doi_str_mv 10.1109/icdmw60847.2023.00031
publisher 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
url http://dx.doi.org/10.1109/icdmw60847.2023.00031
document_store_str 1
active_str 0
published_date 2023-12-04T19:42:58Z
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score 11.012678

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