Safeguarding cross-silo federated learning with local differential privacy

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Cite
Wang, Chen, et al. “Safeguarding Cross-Silo Federated Learning With Local Differential Privacy”. Digital Communications and Networks, vol. 8, no. 4, 2022, pp. 446-54, https://doi.org/10.1016/j.dcan.2021.11.006.
Wang, C., Wu, X., Liu, G., Deng, T., Peng, K., & Wan, S. (2022). Safeguarding cross-silo federated learning with local differential privacy. Digital Communications and Networks, 8(4), 446-454. https://doi.org/10.1016/j.dcan.2021.11.006
Wang C, Wu X, Liu G, Deng T, Peng K, Wan S. Safeguarding cross-silo federated learning with local differential privacy. Digital Communications and Networks. 2022;8(4):446-54.
Refrences
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A game-based approach for cost-aware task assignment with qos constraint in collaborative edge and cloud environments 2021
A survey of local differential privacy for securing internet of vehicles The Journal of Supercomputing
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
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  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
23 2020
Federated learning: challenges, methods, and future directions 2020
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  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
  • Technology: Technology (General): Industrial engineering. Management engineering
  • Technology: Engineering (General). Civil engineering (General)
2020
Drive2friends: inferring social relationships from individual vehicle mobility data IEEE Internet of Things Journal 2020
Citations
Title Journal Journal Categories Citations Publication Date
Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading Computational and Structural Biotechnology Journal
  • Science: Biology (General)
  • Science: Biology (General)
  • Science: Chemistry: Organic chemistry: Biochemistry
2024
Fairness and privacy preserving in federated learning: A survey Information Fusion
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  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
3 2024
Deep federated learning hybrid optimization model based on encrypted aligned data Pattern Recognition
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  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2024
Fed-MPS: Federated learning with local differential privacy using model parameter selection for resource-constrained CPS Journal of Systems Architecture
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2024
A state-of-the-art on federated learning for vehicular communications Vehicular Communications
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Engineering (General). Civil engineering (General): Transportation engineering
  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2024
Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 10 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled PPEFL: An Edge Federated Learning Architecture with Privacy-Preserving Mechanism and was published in 2022. The most recent citation comes from a 2024 study titled Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading. This article reached its peak citation in 2024, with 12 citations. It has been cited in 23 different journals, 4% of which are open access. Among related journals, the IEEE Internet of Things Journal cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year