Approximate to Be Great: Communication Efficient and Privacy-Preserving Large-Scale Distributed Deep Learning in Internet of Things

Wei Du, Ang Li, Pan Zhou, Zichuan Xu, Xiumin Wang, Hao Jiang 0010, Dapeng Oliver Wu. Approximate to Be Great: Communication Efficient and Privacy-Preserving Large-Scale Distributed Deep Learning in Internet of Things. IEEE Internet of Things Journal, 7(12):11678-11692, 2020. [doi]

@article{DuLZXWJW20,
  title = {Approximate to Be Great: Communication Efficient and Privacy-Preserving Large-Scale Distributed Deep Learning in Internet of Things},
  author = {Wei Du and Ang Li and Pan Zhou and Zichuan Xu and Xiumin Wang and Hao Jiang 0010 and Dapeng Oliver Wu},
  year = {2020},
  doi = {10.1109/JIOT.2020.2999594},
  url = {https://doi.org/10.1109/JIOT.2020.2999594},
  researchr = {https://researchr.org/publication/DuLZXWJW20},
  cites = {0},
  citedby = {0},
  journal = {IEEE Internet of Things Journal},
  volume = {7},
  number = {12},
  pages = {11678-11692},
}