Technology of Information Security
|
1532-1537

Segmental tailoring federated learning algorithm based on differential privacy

Wu Junyi
Li Xiaohui
School of Electronics & Information Engineering, Liaoning University of Technology, Jinzhou Liaoning 121000, China

Abstract

To solve the problems caused by using fixed cropping thresholds and noise scales for training in existing differential privacy federated learning algorithms, such as data privacy leakage and low model accuracy, the paper proposed a segmented cropping federated learning algorithm based on differential privacy. Firstly, the clients divided the privacy requirements into high and low privacy demands. For users with high privacy demands, it employed adaptive clipping to dynamically clip the gradients. Conversely, for users with low privacy demands, it adopted proportional clipping. Secondly, the clients adaptively added noise scales based on the size of the clipped threshold. The experimental analysis shows that this algorithm effectively safeguards privacy data, while reducing communication costs compared to ADP-FL and DP-FL algorithms. Additionally, it achieves an improvement in model accuracy by 2.25% and 4.41% compared to ADP-FL and DP-FL respectively.

Foundation Support

国家自然科学基金青年基金资助项目(61802161)
辽宁省应用基础研究计划资助项目(2022JH2/101300278)
辽宁工业大学研究生教育改革创新项目(YJG2023013)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.09.0402
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 5
Section: Technology of Information Security
Pages: 1532-1537
Serial Number: 1001-3695(2024)05-036-1532-06

Publish History

[2023-11-14] Accepted Paper
[2024-05-05] Printed Article

Cite This Article

吴俊仪, 李晓会. 基于差分隐私的分段裁剪联邦学习算法 [J]. 计算机应用研究, 2024, 41 (5): 1532-1537. (Wu Junyi, Li Xiaohui. Segmental tailoring federated learning algorithm based on differential privacy [J]. Application Research of Computers, 2024, 41 (5): 1532-1537. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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