Chinese Journal of Ship Research, Volume. 17, Issue 6, 48(2022)

Efficient privacy-preserving federated learning method for Internet of Ships

Zehui ZHANG1, Cong GUAN2,3, Hang GAO4, Tiegang GAO1, and Hui CHEN2,3
Author Affiliations
  • 1College of Software, Nankai University, Tianjin 300350, China
  • 2School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan 430063, China
  • 3Key Laboratory of High Performance Ship Technology of Ministry of Education, Wuhan 430063, China
  • 4Institute of Public Safety Research, Tsinghua University, Beijing 100084, China
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    References(21)

    [13] YANG Q, LIU Y, CHENG Y et al. Federated learning[J]. Synthesis Lectures on Artificial Intelligence and Machine Learning, 13, 207(2019).

    [15] BONAWITZ K, EICHNER H, GRIESKAMP W et al. Towards federated learning at scale: system design[J]. Proceedings of Machine Learning and Systems, 374-388(2019).

    [19] [19] ZHANG Z H, HE N X, LI Q D, et al. DetectPMFL: privacypreserving momentum federated learning considering unreliable industrial agents[JOL]. IEEE Transactions on Industrial Infmatics, 2022 [20220106].https:ieeexple.ieee.gabstractdocument9672743.

    [21] [21] SHI S H, WANG Q, ZHAO K Y, et al. A distributed synchronous SGD algithm with global topk sparsification f low bwidth wks[C]2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS). Dallas, TX, USA: IEEE, 2019: 22382247.

    [22] SHI S H, CHU X W, CHEUNG K C et al. Understanding top-k sparsification in distributed deep learning[J]. arXiv preprint arXiv, 08772, 2019(1911).

    [24] [24] PAILLIER P. Publickey cryptosystems based on composite degree residuosity classes[M]STERN J. International Conference on the They Applications of Cryptographic Techniques. Prague: Czech Republic, 1999: 223238.

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    Zehui ZHANG, Cong GUAN, Hang GAO, Tiegang GAO, Hui CHEN. Efficient privacy-preserving federated learning method for Internet of Ships[J]. Chinese Journal of Ship Research, 2022, 17(6): 48

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    Paper Information

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    Received: Nov. 13, 2021

    Accepted: --

    Published Online: Mar. 26, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.02594

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