PAPAYA: Practical, Private, and Scalable Federated Learning

Dzmitry Huba, John Nguyen, Kshitiz Malik, Ruiyu Zhu, Mike Rabbat, Ashkan Yousefpour, Carole-Jean Wu, Hongyuan Zhan, Pavel Ustinov, Harish Srinivas, Kaikai Wang, Anthony Shoumikhin, Jesik Min, Mani Malek 0001. PAPAYA: Practical, Private, and Scalable Federated Learning. In Diana Marculescu, Yuejie Chi, Carole-Jean Wu, editors, Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022. mlsys.org, 2022. [doi]

@inproceedings{HubaNMZRYWZUSWS22,
  title = {PAPAYA: Practical, Private, and Scalable Federated Learning},
  author = {Dzmitry Huba and John Nguyen and Kshitiz Malik and Ruiyu Zhu and Mike Rabbat and Ashkan Yousefpour and Carole-Jean Wu and Hongyuan Zhan and Pavel Ustinov and Harish Srinivas and Kaikai Wang and Anthony Shoumikhin and Jesik Min and Mani Malek 0001},
  year = {2022},
  url = {https://proceedings.mlsys.org/paper/2022/hash/f340f1b1f65b6df5b5e3f94d95b11daf-Abstract.html},
  researchr = {https://researchr.org/publication/HubaNMZRYWZUSWS22},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022},
  editor = {Diana Marculescu and Yuejie Chi and Carole-Jean Wu},
  publisher = {mlsys.org},
}