Federated Learning for Internet of Things: A Comprehensive Survey

  title={Federated Learning for Internet of Things: A Comprehensive Survey},
  author={Dinh C. Nguyen and Ming Ding and Pubudu N. Pathirana and Aruna Prasad Seneviratne and Jun Li and H. Vincent Poor},
  journal={IEEE Communications Surveys \& Tutorials},
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of intelligent services and applications empowered by artificial intelligence (AI). Traditionally, AI techniques require centralized data collection and processing that may not be feasible in realistic application scenarios due to the high scalability of modern IoT networks and growing data privacy concerns. Federated Learning (FL) has emerged as a distributed collaborative AI approach that can… 

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  • Ahmed ImteajM. Amini
  • Computer Science
    2019 International Conference on Computational Science and Computational Intelligence (CSCI)
  • 2019
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