Federated Learning with Local Differential Privacy: Trade-Offs Between Privacy, Utility, and Communication

Muah Kim, Onur Günlü, Rafael F. Schaefer. Federated Learning with Local Differential Privacy: Trade-Offs Between Privacy, Utility, and Communication. In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2021, Toronto, ON, Canada, June 6-11, 2021. pages 2650-2654, IEEE, 2021. [doi]

@inproceedings{KimGS21-0,
  title = {Federated Learning with Local Differential Privacy: Trade-Offs Between Privacy, Utility, and Communication},
  author = {Muah Kim and Onur Günlü and Rafael F. Schaefer},
  year = {2021},
  doi = {10.1109/ICASSP39728.2021.9413764},
  url = {https://doi.org/10.1109/ICASSP39728.2021.9413764},
  researchr = {https://researchr.org/publication/KimGS21-0},
  cites = {0},
  citedby = {0},
  pages = {2650-2654},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2021, Toronto, ON, Canada, June 6-11, 2021},
  publisher = {IEEE},
  isbn = {978-1-7281-7605-5},
}