Brendan McMahan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
4
Active years
2017–2023
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | KDD | How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy. | Natalia Ponomareva, Sergei Vassilvitskii, Zheng Xu, Brendan McMahan, Alexey Kurakin, Chiyaun Zhang |
| 2021 | ICML | Practical and Private (Deep) Learning Without Sampling or Shuffling. | Peter Kairouz, Brendan McMahan, Shuang Song, Om Thakkar, Abhradeep Thakurta, Zheng Xu |
| 2020 | AISTATS | Federated Heavy Hitters Discovery with Differential Privacy. | Wennan Zhu, Peter Kairouz, Brendan McMahan, Haicheng Sun, Wei Li |
| 2019 | ACSSC | Federated Learning with Autotuned Communication-Efficient Secure Aggregation. | Kallista A. Bonawitz, Fariborz Salehi, Jakub Konecn, Brendan McMahan, Marco Gruteser |
| 2019 | ICML | Semi-Cyclic Stochastic Gradient Descent. | Hubert Eichner, Tomer Koren, Brendan McMahan, Nathan Srebro, Kunal Talwar |
| 2017 | AISTATS | Communication-Efficient Learning of Deep Networks from Decentralized Data. | Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, Blaise Agera y Arcas |