Swaroop Ramaswamy

According to our database, Swaroop Ramaswamy authored at least 10 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

We Are What We Repeatedly Do: Improving Long Context Instruction Following.

Preston K. Robinette, Andrew Hard, Swaroop Ramaswamy, Ehsan Amid, Rajiv Mathews, Taylor T. Johnson

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

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

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Public Data-Assisted Mirror Descent for Private Model Training.

Ehsan Amid, Arun Ganesh, Rajiv Mathews, Swaroop Ramaswamy, Shuang Song, Thomas Steinke, Vinith M. Suriyakumar, Om Thakkar, Abhradeep Thakurta

Proceedings of the International Conference on Machine Learning, 2022

A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter IT.

Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Revealing and Protecting Labels in Distributed Training.

Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Differentially Private Learning with Adaptive Clipping.

Galen Andrew, Om Thakkar, Brendan McMahan, Swaroop Ramaswamy

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Training Production Language Models without Memorizing User Data.

Swaroop Ramaswamy, Om Thakkar, Rajiv Mathews, Galen Andrew, H. Brendan McMahan, Françoise Beaufays

CoRR, 2020

Understanding Unintended Memorization in Federated Learning.

Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Françoise Beaufays

CoRR, 2020

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

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Federated Learning for Emoji Prediction in a Mobile Keyboard.

Swaroop Ramaswamy, Rajiv Mathews, Kanishka Rao, Françoise Beaufays

CoRR, 2019