Local Differential Privacy-Based Federated Learning for Internet of Things

@article{Zhao2021LocalDP,
  title={Local Differential Privacy-Based Federated Learning for Internet of Things},
  author={Yang Zhao and Jun Zhao and Mengmeng Yang and Teng Wang and Ning Wang and Lingjuan Lyu and Dusit Tao Niyato and Kwok-Yan Lam},
  journal={IEEE Internet of Things Journal},
  year={2021},
  volume={8},
  pages={8836-8853}
}
The Internet of Vehicles (IoV) is a promising branch of the Internet of Things. IoV simulates a large variety of crowdsourcing applications, such as Waze, Uber, and Amazon Mechanical Turk, etc. Users of these applications report the real-time traffic information to the cloud server which trains a machine learning model based on traffic information reported by users for intelligent traffic management. However, crowdsourcing application owners can easily infer users’ location information, traffic… 
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