John Nguyen
John Nguyen
Meta AI, FAIR (Fundamental AI Research)
Verified email at - Homepage
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Opacus: User-friendly differential privacy library in PyTorch
A Yousefpour, I Shilov, A Sablayrolles, D Testuggine, K Prasad, M Malek, ...
PriML-NeurIPS, 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
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
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
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
Read: Recurrent adaptation of large transformers
S Wang, J Nguyen, K Li, CJ Wu
arXiv preprint arXiv:2305.15348, 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, 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
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
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