Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning

Alberto Bietti, Chen-Yu Wei, Miroslav Dudík, John Langford 0001, Zhiwei Steven Wu. Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 1945-1962, PMLR, 2022. [doi]

@inproceedings{BiettiWD0W22,
  title = {Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning},
  author = {Alberto Bietti and Chen-Yu Wei and Miroslav Dudík and John Langford 0001 and Zhiwei Steven Wu},
  year = {2022},
  url = {https://proceedings.mlr.press/v162/bietti22a.html},
  researchr = {https://researchr.org/publication/BiettiWD0W22},
  cites = {0},
  citedby = {0},
  pages = {1945-1962},
  booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA},
  editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato},
  volume = {162},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}