Privacy-Enhanced Federated Learning: A Restrictively Self-Sampled and Data-Perturbed Local Differential Privacy Method

Jianzhe Zhao, Mengbo Yang, Ronglin Zhang, Wuganjing Song, Jiali Zheng, Jingran Feng, Stan Matwin

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)
Original languageEnglish
Article number4007
JournalElectronics (Switzerland)
Volume11
Issue number23
DOIs
Publication statusPublished - Dec 2022

ASJC Scopus Subject Areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Hardware and Architecture
  • Computer Networks and Communications

Keywords

  • client self-sampling
  • data perturbation
  • federated learning
  • local differential privacy

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