| Federated learning for mobile keyboard prediction A Hard, K Rao, R Mathews, S Ramaswamy, F Beaufays, S Augenstein, ... arXiv preprint arXiv:1811.03604, 2018 | 1738 | 2018 |
| Federated learning for emoji prediction in a mobile keyboard S Ramaswamy, R Mathews, K Rao, F Beaufays arXiv preprint arXiv:1906.04329, 2019 | 349 | 2019 |
| Differentially private learning with adaptive clipping G Andrew, O Thakkar, B McMahan, S Ramaswamy Advances in Neural Information Processing Systems 34, 17455-17466, 2021 | 250 | 2021 |
| Generative models for effective ML on private, decentralized datasets S Augenstein, HB McMahan, D Ramage, S Ramaswamy, P Kairouz, ... arXiv preprint arXiv:1911.06679, 2019 | 211 | 2019 |
| Training production language models without memorizing user data S Ramaswamy, O Thakkar, R Mathews, G Andrew, HB McMahan, ... arXiv preprint arXiv:2009.10031, 2020 | 78 | 2020 |
| Understanding unintended memorization in language models under federated learning OD Thakkar, S Ramaswamy, R Mathews, F Beaufays Proceedings of the Third Workshop on Privacy in Natural Language Processing …, 2021 | 64* | 2021 |
| Public Data-Assisted Mirror Descent for Private Model Training E Amid, A Ganesh, R Mathews, S Ramaswamy, S Song, T Steinke, ... International Conference on Machine Learning 2022, 2021 | 51 | 2021 |
| Revealing and protecting labels in distributed training T Dang, O Thakkar, S Ramaswamy, R Mathews, P Chin, F Beaufays Advances in neural information processing systems 34, 1727-1738, 2021 | 34 | 2021 |
| UserLibri: A dataset for ASR personalization using only text T Breiner, S Ramaswamy, E Variani, S Garg, R Mathews, KC Sim, ... arXiv preprint arXiv:2207.00706, 2022 | 17 | 2022 |
| A method to reveal speaker identity in distributed asr training, and how to counter it T Dang, O Thakkar, S Ramaswamy, R Mathews, P Chin, F Beaufays ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 9 | 2022 |
| DeepMD: Transforming How We Diagnose Heart Disease Using Convolutional Neural Networks V Venugopal, S Ramaswamy | 2 | 2015 |
| Personalizing Speech Recognition Based on User-entered Text S Ramaswamy, T Breiner, I Pisarev, D Zivkovic, M Chen, R Mathews, ... | 1 | 2022 |
| Mixed client-server federated learning of machine learning model (s) F Beaufays, A Hard, SI Ramaswamy, OD Thakkar, R Mathews US Patent App. 18/218,319, 2023 | | 2023 |
| Mixed client-server federated learning of machine learning model (s) F Beaufays, A Hard, SI Ramaswamy, OD Thakkar, R Mathews US Patent 11,749,261, 2023 | | 2023 |
| Leveraging Public Data in Training Neural Networks with Private Mirror Descent OD Thakkar, E Amid, A Ganesh, R Mathews, S Ramaswamy, S Song, ... US Patent App. 17/937,825, 2023 | | 2023 |
| Ascertaining and/or mitigating extent of effective reconstruction, of predictions, from model updates transmitted in federated learning OD Thakkar, T Dang, SI Ramaswamy, R Mathews, F Beaufays US Patent App. 17/535,405, 2022 | | 2022 |
| Sparse embeddings for reduced communication costs in federated learning of language models RM Lara McConnaughey, Kaan Ege Ozgun, Andrew Hard, Swaroop Ramaswamy ... Sparsity In Neural Networks 2021, 2021 | | 2021 |
Rajiv MathewsPrincipal Software Engineer, Google IncVerified email at google.com
