Federated Learning for Emoji Prediction in a Mobile Keyboard. - Swaroop Ramaswamy; Rajiv Mathews; Kanishka Rao; Françoise Beaufays (CoRR, 2019)

Generative Models for Effective ML on Private, Decentralized Datasets. - Sean Augenstein; H. Brendan McMahan; Daniel Ramage; Swaroop Ramaswamy; Peter Kairouz; Mingqing Chen; Rajiv Mathews; Blaise Agüera y Arcas (ICLR, 2020)

Understanding Unintended Memorization in Federated Learning. - Om Thakkar 001; Swaroop Ramaswamy; Rajiv Mathews; Françoise Beaufays (CoRR, 2020)

Training Production Language Models without Memorizing User Data. - Swaroop Ramaswamy; Om Thakkar 001; Rajiv Mathews; Galen Andrew; H. Brendan McMahan; Françoise Beaufays (CoRR, 2020)

Differentially Private Learning with Adaptive Clipping. - Galen Andrew; Om Thakkar 001; Brendan McMahan; Swaroop Ramaswamy (NeurIPS, 2021)

Revealing and Protecting Labels in Distributed Training. - Trung Dang 002; Om Thakkar 001; Swaroop Ramaswamy; Rajiv Mathews; Peter Chin 001; Françoise Beaufays (NeurIPS, 2021)

A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter IT. - Trung Dang 002; Om Thakkar 001; Swaroop Ramaswamy; Rajiv Mathews; Peter Chin 001; Françoise Beaufays (ICASSP, 2022)

Public Data-Assisted Mirror Descent for Private Model Training. - Ehsan Amid; Arun Ganesh; Rajiv Mathews; Swaroop Ramaswamy; Shuang Song 001; Thomas Steinke 002; Vinith M. Suriyakumar; Om Thakkar 001; Abhradeep Thakurta (ICML, 2022)

UserLibri: A Dataset for ASR Personalization Using Only Text. - Theresa Breiner; Swaroop Ramaswamy; Ehsan Variani; Shefali Garg; Rajiv Mathews; Khe Chai Sim; Kilol Gupta; Mingqing Chen; Lara McConnaughey (INTERSPEECH, 2022)