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Sym-Fed: Unleashing the Power of Symmetric Encryption in Cross-Silo Federated Learning

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成果类型:
会议论文
作者:
Wang, Jinzhao;Tian, Wenlong;Li, Ruixuan;Tang, Junwei;Ye, Xuming;...
通讯作者:
Tian, WL
作者机构:
[Ye, Xuming; Tian, Wenlong; Wang, Jinzhao; Wan, Yaping] Univ South China, Sch Comp Sci & Technol, Hengyang, Peoples R China.
[Tian, Wenlong] Nanyang Technol Univ, Sch Phys & Math Sci, Singapore, Singapore.
[Li, Ruixuan] Huazhong Univ Sci & Technol, Sch Comp Sci & Technol, Wuhan, Peoples R China.
[Tang, Junwei] Wuhan Text Univ, Sch Comp Sci & Artificial Intelligence, Wuhan, Peoples R China.
[Xu, Zhiyong] Suffolk Univ, Math & Comp Sci Dept, Boston, MA 02114 USA.
通讯机构:
[Tian, WL ] U
Univ South China, Sch Comp Sci & Technol, Hengyang, Peoples R China.
Nanyang Technol Univ, Sch Phys & Math Sci, Singapore, Singapore.
语种:
英文
关键词:
Federated Learning;Symmetric Encryption;Homomorphic Encryption
期刊:
2023 IEEE 22ND INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS, TRUSTCOM, BIGDATASE, CSE, EUC, ISCI 2023
ISSN:
2324-898X
年:
2023
页码:
833-840
会议名称:
2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
会议论文集名称:
2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
会议时间:
01 November 2023
会议地点:
Exeter, United Kingdom
会议主办单位:
[Wang, Jinzhao;Tian, Wenlong;Ye, Xuming;Wan, Yaping] Univ South China, Sch Comp Sci & Technol, Hengyang, Peoples R China.^[Tian, Wenlong] Nanyang Technol Univ, Sch Phys & Math Sci, Singapore, Singapore.^[Li, Ruixuan] Huazhong Univ Sci & Technol, Sch Comp Sci & Technol, Wuhan, Peoples R China.^[Tang, Junwei] Wuhan Text Univ, Sch Comp Sci & Artificial Intelligence, Wuhan, Peoples R China.^[Xu, Zhiyong] Suffolk Univ, Math & Comp Sci Dept, Boston, MA 02114 USA.
主编:
Hu, J Min, G Wang, G Georgalas, N
出版地:
10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
出版者:
IEEE
ISBN:
979-8-3503-8200-6
基金类别:
State Scholarship Fund of China [202108430055]; Natural Science Foundation of Hunan Province of China [2021JJ40468, 2022JJ50153, 2022JJ30495]; Hunan Province research foundation [22B0437]; Hunan Province Educational Science Planning Project [XJK23AJD014]; National Training Program of Innovation and Entrepreneurship for Undergraduates [S202310555275, S202310555276, D202305161151302334, D202305172303130913]
机构署名:
本校为第一机构
院系归属:
计算机科学与技术学院
摘要:
With the increasing number of big data applications, large amounts of valuable data are distributed in different organizations or regions. Federated Learning (FL) enables collaborative model training without sharing sensitive data and is widely used in AI medical diagnosis, economy, and autonomous driving scenarios. However, it still leaks the privacy from the gradient exchange in federated learning. What's worse, state-of-the-art work, such as Batchcrypt, still suffers from computational overhead due to a considerable amount of computation and communication costs caused by homomorphic encrypt...

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