| Opacus: User-friendly differential privacy library in PyTorch A Yousefpour, I Shilov, A Sablayrolles, D Testuggine, K Prasad, M Malek, ... PriML-NeurIPS, 2021 | 316 | 2021 |
| Federated learning with buffered asynchronous aggregation J Nguyen, K Malik, H Zhan, A Yousefpour, M Rabbat, M Malek, D Huba International Conference on Artificial Intelligence and Statistics, 3581-3607, 2022 | 260 | 2022 |
| Papaya: Practical, private, and scalable federated learning D Huba, J Nguyen, K Malik, R Zhu, M Rabbat, A Yousefpour, CJ Wu, ... Proceedings of Machine Learning and Systems 4, 814-832, 2022 | 125 | 2022 |
| Where to begin? On the impact of pre-training and initialization in federated learning J Nguyen, W Jianyu, K Malik, M Sanjabi, M Rabbat International Conference on Learning Representations, 2023 | 81* | 2023 |
| Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity K Maeng, H Lu, L Melis, J Nguyen, M Rabbat, CJ Wu 16th ACM Conference on Recommender Systems (RecSys 2022), 2022 | 24 | 2022 |
| Read: Recurrent adaptation of large transformers S Wang, J Nguyen, K Li, CJ Wu arXiv preprint arXiv:2305.15348, 2023 | 10 | 2023 |
| On noisy evaluation in federated hyperparameter tuning K Kuo, P Thaker, M Khodak, J Nguyen, D Jiang, A Talwalkar, V Smith Proceedings of Machine Learning and Systems 5, 127-144, 2023 | 5 | 2023 |
| Now it sounds like you: Learning personalized vocabulary on device S Wang, A Shenoy, P Chuang, J Nguyen arXiv preprint arXiv:2305.03584, 2023 | 3 | 2023 |
| Now It Sounds Like You: Learning Personalized Vocabulary On Device A Shenoy, S Wang, P Chuang, J Nguyen Proceedings of the AAAI Symposium Series 3 (1), 310-315, 2024 | | 2024 |
| Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities Z Xu, P Kairouz, B Li, T Li, J Nguyen, J Wang, S Wang, A Ozgur International Conference on Machine Learning, 2023 | | 2023 |
Michael RabbatResearch Scientist at FacebookПотвърден имейл адрес: fb.com
