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Journal of Computer Applications. 2023, (04) Core

Federated learning algorithm based on personalized differential privacyChinese Full Text

YIN Chunyong;QU Rui;School of Computer Science, Nanjing University of Information Science and Technology;

Abstract: Federated Learning（FL） can effectively protect users′ personal data from attackers. Differential Privacy（DP） is applied to enhance the privacy of FL, which can solve the problem of privacy disclose caused by parameters in the model training. However, existing FL methods based on DP on concentrate on the unified privacy protection budget and ignore the personalized privacy requirements of users. To solve this problem, a two-stage Federated Learning with Personalized Differential Privacy（PDP-FL） a... More
Keywords：

Federated Learning （FL）; Differential Privacy （DP）; privacy preference; privacy rating; personalized privacy protection;

  • Series：

    (I) Electronic Technology ＆ Information Science

  • Subject：

    Computer Software and Application of Computer; Automation Technology

  • Classification Code：

    TP309;TP181

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