Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix

Maximilian Lam, Gu-Yeon Wei, David Brooks 0001, Vijay Janapa Reddi, Michael Mitzenmacher. Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix. In Marina Meila, Tong Zhang 0001, editors, Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event. Volume 139 of Proceedings of Machine Learning Research, pages 5959-5968, PMLR, 2021. [doi]

@inproceedings{LamW0RM21,
  title = {Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix},
  author = {Maximilian Lam and Gu-Yeon Wei and David Brooks 0001 and Vijay Janapa Reddi and Michael Mitzenmacher},
  year = {2021},
  url = {http://proceedings.mlr.press/v139/lam21b.html},
  researchr = {https://researchr.org/publication/LamW0RM21},
  cites = {0},
  citedby = {0},
  pages = {5959-5968},
  booktitle = {Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event},
  editor = {Marina Meila and Tong Zhang 0001},
  volume = {139},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}