Siren+: Robust Federated Learning With Proactive Alarming and Differential Privacy-Reference-Cited by-同舟云学术

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Siren+: Robust Federated Learning With Proactive Alarming and Differential Privacy

Published:2024-09 Issue:5 Volume:21 Page:4843-4860
ISSN:1545-5971
Container-title:IEEE Transactions on Dependable and Secure Computing
language:
Short-container-title:IEEE Trans. Dependable and Secure Comput.

Author:

Guo Hanxi¹^ORCID,Wang Hao²^ORCID,Song Tao¹^ORCID,Hua Yang³^ORCID,Ma Ruhui¹^ORCID,Jin Xiulang⁴^ORCID,Xue Zhengui⁵,Guan Haibing¹^ORCID

Affiliation:

1. Shanghai Key Laboratory of Scalable Computing and Systems, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China

2. Computer Science and Engineering, Louisiana State University, Baton Rouge, LA, USA

3. EEECS/ECIT, Queen's University Belfast, Belfast, U.K.

4. Huawei Technologies Company Ltd, Hangzhou, China

5. School of Mathematics and Physics, Queen's University Belfast, Belfast, U.K.

Funder

National Natural Science Foundation of China

SJTU-Huawei Joint Laboratory

Shanghai Key Laboratory of Scalable Computing and Systems

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8858/10663874/10423198.pdf?arnumber=10423198

Reference68 articles.

1. Siren

2. The EU General Data Protection Regulation (GDPR)

3. Federated learning: Strategies for improving communication efficiency;Konečný

4. Communication-efficient learning of deep networks from decentralized data;McMahan

5. Speeding Up Distributed Machine Learning Using Codes

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