John Nguyen
RESEARCH SCIENTIST | NEW YORK CITY, UNITED STATES
John Nguyen is a research engineer at Meta AI (FAIR). His research interests include world models, generative models, and multimodal models. He has served on the organizing committee for FL-ICML, the program committee for FL-NeurIPS, and as a reviewer for ICLR, ICML, NeurIPS, AISTATS, and MLSys. He graduated cum laude from UC Davis with double majors in Statistics and Computer Science (2018) and received an M.S. in Computer Science (2019).
John's Publications
December 12, 2024
NLP
Byte Latent Transformer: Patches Scale Better Than Tokens
Margaret Li, Chunting Zhou, Ari Holtzman, Srini Iyer, Artidoro Pagnoni, Benjamin Muller, Gargi Ghosh, Jason Weston, John Nguyen, Lili Yu, Luke Zettlemoyer, Mike Lewis, Pedro Rodriguez, Ram Pasunuru
December 12, 2024
August 08, 2022
RESEARCH
CORE MACHINE LEARNING
Opacus: User-Friendly Differential Privacy Library in PyTorch
Ashkan Yousefpour, Akash Bharadwaj, Alex Sablayrolles, Graham Cormode, Igor Shilov, Ilya Mironov, Jessica Zhao, John Nguyen, Karthik Prasad, Mani Malek, Sayan Ghosh
August 08, 2022
April 26, 2022
PAPAYA: PRACTICAL, PRIVATE, AND SCALABLE FEDERATED LEARNING
John Nguyen, Anthony Shoumikhin, Ashkan Yousefpour, Carole-Jean Wu, Dzmitry Huba, Harish Srinivas, Hongyuan Zhan, Jesik Min, Kaikai Wang, Kshitiz Malik, Mani Malek, Mike Rabbat, Pavel Ustinov, Ruiyu Zhu
April 26, 2022
September 14, 2021
Federated Learning with Buffered Asynchronous Aggregation
Kshitiz Malik, Ashkan Yousefpour, Dzmitry Huba, Hongyuan Zhan, John Nguyen, Mani Malek, Mike Rabbat
September 14, 2021
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