| Opacus: User-friendly differential privacy library in PyTorch A Yousefpour, I Shilov, A Sablayrolles, D Testuggine, K Prasad, M Malek, ... PriML-NeurIPS, 2021 | 116 | 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 | 83 | 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 | 35 | 2022 |
| Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning J Nguyen, J Wang, K Malik, M Sanjabi, M Rabbat arXiv preprint arXiv:2210.08090, 2022 | 16* | 2022 |
| 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 | 6 | 2022 |
| READ: Recurrent Adaptation of Large Transformers S Wang, J Nguyen, K Li, CJ Wu arXiv preprint arXiv:2305.15348, 2023 | | 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 | | 2023 |
| On Noisy Evaluation in Federated Hyperparameter Tuning K Kuo, P Thaker, M Khodak, J Ngyuen, D Jiang, A Talwalkar, V Smith arXiv preprint arXiv:2212.08930, 2022 | | 2022 |
Michael RabbatResearch Scientist at FacebookVerified email at fb.com
