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Sean Augenstein

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Learning from straggler clients in federated learning

Mar 14, 2024
Andrew Hard, Antonious M. Girgis, Ehsan Amid, Sean Augenstein, Lara McConnaughey, Rajiv Mathews, Rohan Anil

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Learning to Generate Image Embeddings with User-level Differential Privacy

Nov 20, 2022
Zheng Xu, Maxwell Collins, Yuxiao Wang, Liviu Panait, Sewoong Oh, Sean Augenstein, Ting Liu, Florian Schroff, H. Brendan McMahan

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Mixed Federated Learning: Joint Decentralized and Centralized Learning

May 26, 2022
Sean Augenstein, Andrew Hard, Lin Ning, Karan Singhal, Satyen Kale, Kurt Partridge, Rajiv Mathews

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Production federated keyword spotting via distillation, filtering, and joint federated-centralized training

Apr 11, 2022
Andrew Hard, Kurt Partridge, Neng Chen, Sean Augenstein, Aishanee Shah, Hyun Jin Park, Alex Park, Sara Ng, Jessica Nguyen, Ignacio Lopez Moreno, Rajiv Mathews, Françoise Beaufays

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Jointly Learning from Decentralized (Federated) and Centralized Data to Mitigate Distribution Shift

Nov 23, 2021
Sean Augenstein, Andrew Hard, Kurt Partridge, Rajiv Mathews

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Generative Models for Effective ML on Private, Decentralized Datasets

Nov 15, 2019
Sean Augenstein, H. Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Aguera y Arcas

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Federated Learning for Mobile Keyboard Prediction

Nov 08, 2018
Andrew Hard, Kanishka Rao, Rajiv Mathews, Françoise Beaufays, Sean Augenstein, Hubert Eichner, Chloé Kiddon, Daniel Ramage

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