Swaroop Ramaswamy

15 papers A* 4A 1Misc 1Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	We Are What We Repeatedly Do: Improving Long Context Instruction Following. EACL (Findings) Preston K. Robinette, Andrew Hard, Swaroop Ramaswamy, Ehsan Amid, Rajiv Mathews, Taylor T. Johnson
2022	Misc	`conf`	A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter IT. ICASSP Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays
2022	A*	`conf`	Public Data-Assisted Mirror Descent for Private Model Training. ICML Ehsan Amid, Arun Ganesh, Rajiv Mathews, Swaroop Ramaswamy, Shuang Song, Thomas Steinke, Vinith M. Suriyakumar, Om Thakkar, Abhradeep Thakurta
2022	A	`conf`	UserLibri: A Dataset for ASR Personalization Using Only Text. INTERSPEECH Theresa Breiner, Swaroop Ramaswamy, Ehsan Variani, Shefali Garg, Rajiv Mathews, Khe Chai Sim, Kilol Gupta, Mingqing Chen, Lara McConnaughey
2022	J	`jnl`	UserLibri: A Dataset for ASR Personalization Using Only Text. CoRR Theresa Breiner, Swaroop Ramaswamy, Ehsan Variani, Shefali Garg, Rajiv Mathews, Khe Chai Sim, Kilol Gupta, Mingqing Chen, Lara McConnaughey
2021	J	`jnl`	A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It. CoRR Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays
2021	A*	`conf`	Differentially Private Learning with Adaptive Clipping. NeurIPS Galen Andrew, Om Thakkar, Brendan McMahan, Swaroop Ramaswamy
2021	J	`jnl`	Public Data-Assisted Mirror Descent for Private Model Training. CoRR Ehsan Amid, Arun Ganesh, Rajiv Mathews, Swaroop Ramaswamy, Shuang Song, Thomas Steinke, Vinith M. Suriyakumar, Om Thakkar, Abhradeep Thakurta
2021	A*	`conf`	Revealing and Protecting Labels in Distributed Training. NeurIPS Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays
2021	J	`jnl`	Revealing and Protecting Labels in Distributed Training. CoRR Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays
2020	A*	`conf`	Generative Models for Effective ML on Private, Decentralized Datasets. ICLR Sean Augenstein, H. Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Agüera y Arcas
2020	J	`jnl`	Training Production Language Models without Memorizing User Data. CoRR Swaroop Ramaswamy, Om Thakkar, Rajiv Mathews, Galen Andrew, H. Brendan McMahan, Françoise Beaufays
2020	J	`jnl`	Understanding Unintended Memorization in Federated Learning. CoRR Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Françoise Beaufays
2019	J	`jnl`	Federated Learning for Emoji Prediction in a Mobile Keyboard. CoRR Swaroop Ramaswamy, Rajiv Mathews, Kanishka Rao, Françoise Beaufays
2019	J	`jnl`	Generative Models for Effective ML on Private, Decentralized Datasets. CoRR Sean Augenstein, H. Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Agüera y Arcas