Local Model Privacy-Preserving Study for Federated Learning

Kaiyun Pan, Daojing He, Chuan Xu. Local Model Privacy-Preserving Study for Federated Learning. In Joaquín García-Alfaro, Shujun Li, Radha Poovendran, Hervé Debar, Moti Yung, editors, Security and Privacy in Communication Networks - 17th EAI International Conference, SecureComm 2021, Virtual Event, September 6-9, 2021, Proceedings, Part I. Volume 398 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 287-307, Springer, 2021. [doi]

@inproceedings{PanHX21-0,
  title = {Local Model Privacy-Preserving Study for Federated Learning},
  author = {Kaiyun Pan and Daojing He and Chuan Xu},
  year = {2021},
  doi = {10.1007/978-3-030-90019-9_15},
  url = {https://doi.org/10.1007/978-3-030-90019-9_15},
  researchr = {https://researchr.org/publication/PanHX21-0},
  cites = {0},
  citedby = {0},
  pages = {287-307},
  booktitle = {Security and Privacy in Communication Networks - 17th EAI International Conference, SecureComm 2021, Virtual Event, September 6-9, 2021, Proceedings, Part I},
  editor = {Joaquín García-Alfaro and Shujun Li and Radha Poovendran and Hervé Debar and Moti Yung},
  volume = {398},
  series = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering},
  publisher = {Springer},
  isbn = {978-3-030-90019-9},
}