H. Brendan McMahan
Authored Publications
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Federated Learning of Gboard Language Models with Differential Privacy
Yanxiang Zhang
Galen Andrew
Jesse Rosenstock
Yuanbo Zhang
ACL industry track (2023) (to appear)
Learning to Generate Image Embeddings with User-level Differential Privacy
Maxwell D. Collins
Yuxiao Wang
Sewoong Oh
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2023) (to appear)
Practical and Private (Deep) Learning without Sampling or Shuffling
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Om Thakkar
Abhradeep Thakurta
38th International Conference on Machine Learning (ICML 2021) (2021) (to appear)
A Field Guide to Federated Optimization
Jianyu Wang
Gauri Joshi
Maruan Al-Shedivat
Galen Andrew
A. Salman Avestimehr
Katharine Daly
Deepesh Data
Suhas Diggavi
Hubert Eichner
Advait Gadhikar
Antonious M. Girgis
Filip Hanzely
Chaoyang He
Samuel Horvath
Martin Jaggi
Tara Javidi
Satyen Chandrakant Kale
Sai Praneeth Karimireddy
Jakub Konečný
Sanmi Koyejo
Tian Li
Peter Richtarik
Karan Singhal
Virginia Smith
Mahdi Soltanolkotabi
Weikang Song
Sebastian Stich
Ameet Talwalkar
Hongyi Wang
Blake Woodworth
Honglin Yuan
Manzil Zaheer
Mi Zhang
Tong Zhang
Chunxiang (Jake) Zheng
Chen Zhu
arxiv (2021)
Adaptive Federated Optimization
Manzil Zaheer
Jakub Konečný
(2021)
Generative Models for Effective ML on Private, Decentralized Datasets
8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020, OpenReview.net
Federated Heavy Hitters with Differential Privacy
Haicheng Sun
Vivian (Wei) Li
International Conference on Artificial Intelligence and Statistics (AISTATS) 2020
Privacy Amplification via Random Check-Ins
Borja Balle
Om Thakkar
Abhradeep Thakurta
Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020
