John Nguyen

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 23

Top Topics

Privacy Preserving Data Mining Algorithms

Differential Privacy

Reinforcement Learning

Top Venues

Publications

Ashish Shenoy, Sid Wang, Pierce Chuang, John Nguyen
Now It Sounds Like You: Learning Personalized Vocabulary On Device. AAAI Spring Symposia (2024)
Tien M. Nguyen, Charles H. Lee, Yinwei Chen, Sam Behseta, Dan Shen, Genshe Chen, John Nguyen, Xiwen Kang, Khanh D. Pham
Innovative Multicarrier Broadband Waveforms for Future GNSS Applications - A System Overview. PLANS (2023)
Tien M. Nguyen, Charles H. Lee, Sam Behseta, Dan Shen, John Nguyen, Xiwen Kang, Genshe Chen, Khanh D. Pham
HT-MCBBW Ground Receiver Terminal for Future GNSS Applications. PLANS (2023)
Sid Wang, John Nguyen, Ke Li, Carole-Jean Wu
READ: Recurrent Adaptation of Large Transformers. CoRR (2023)
Ross Cocks, John Nguyen, Brady Peters
Wieringa Surface: The Implementation of Aperiodicity into Architectural Acoustics. CAAD Futures (2023)
John Nguyen, Jianyu Wang, Kshitiz Malik, Maziar Sanjabi, Michael G. Rabbat
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning. ICLR (2023)
Kevin Kuo, Pratiksha Thaker, Mikhail Khodak, John Nguyen, Daniel Jiang, Ameet Talwalkar, Virginia Smith
On Noisy Evaluation in Federated Hyperparameter Tuning. MLSys (2023)
Sid Wang, Ashish Shenoy, Pierce Chuang, John Nguyen
Now It Sounds Like You: Learning Personalized Vocabulary On Device. CoRR (2023)
Altus Viljoen, John Nguyen, Martin Kauschinger, Andreas Hein
Fostering Scalable Citizen Development in Organizations: Towards a Guiding Framework. AMCIS (2023)
John Nguyen, Kshitiz Malik, Hongyuan Zhan, Ashkan Yousefpour, Mike Rabbat, Mani Malek, Dzmitry Huba
Federated Learning with Buffered Asynchronous Aggregation. AISTATS (2022)
John Nguyen, Jianyu Wang, Kshitiz Malik, Maziar Sanjabi, Michael Rabbat
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning. CoRR (2022)
Dzmitry Huba, John Nguyen, Kshitiz Malik, Ruiyu Zhu, Mike Rabbat, Ashkan Yousefpour, Carole-Jean Wu, Hongyuan Zhan, Pavel Ustinov, Harish Srinivas, Kaikai Wang, Anthony Shoumikhin, Jesik Min, Mani Malek
PAPAYA: Practical, Private, and Scalable Federated Learning. MLSys (2022)
Kiwan Maeng, Haiyu Lu, Luca Melis, John Nguyen, Mike Rabbat, Carole-Jean Wu
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity. RecSys (2022)
Kevin Kuo, Pratiksha Thaker, Mikhail Khodak, John Nguyen, Daniel Jiang, Ameet Talwalkar, Virginia Smith
On Noisy Evaluation in Federated Hyperparameter Tuning. CoRR (2022)
John Nguyen, Kshitiz Malik, Maziar Sanjabi, Michael Rabbat
Where to Begin? Exploring the Impact of Pre-Training and Initialization in Federated Learning. CoRR (2022)
Kiwan Maeng, Haiyu Lu, Luca Melis, John Nguyen, Mike Rabbat, Carole-Jean Wu
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity. CoRR (2022)
Ashkan Yousefpour, Igor Shilov, Alexandre Sablayrolles, Davide Testuggine, Karthik Prasad, Mani Malek, John Nguyen, Sayan Gosh, Akash Bharadwaj, Jessica Zhao, Graham Cormode, Ilya Mironov
Opacus: User-Friendly Differential Privacy Library in PyTorch. CoRR (2021)
John Nguyen, Kshitiz Malik, Hongyuan Zhan, Ashkan Yousefpour, Michael Rabbat, Mani Malek Esmaeili, Dzmitry Huba
Federated Learning with Buffered Asynchronous Aggregation. CoRR (2021)
John Nguyen, Raphael E. Stern
Modeling oscillatory car following using deep reinforcement learning based car following models. MT-ITS (2021)
Dzmitry Huba, John Nguyen, Kshitiz Malik, Ruiyu Zhu, Mike Rabbat, Ashkan Yousefpour, Carole-Jean Wu, Hongyuan Zhan, Pavel Ustinov, Harish Srinivas, Kaikai Wang, Anthony Shoumikhin, Jesik Min, Mani Malek
Papaya: Practical, Private, and Scalable Federated Learning. CoRR (2021)
Michael Potter, Henry Gridley, Noah Lichtenstein, Kevin Hines, John Nguyen, Jacob Walsh
Low-light Environment Neural Surveillance. CoRR (2020)
Michael Potter, Henry Gridley, Noah Lichtenstein, Kevin Hines, John Nguyen, Jacob Walsh
Low-Light Environment Neural Surveillance. MLSP (2020)
Yuanchun Ding, Falu Weng, Ji Ge, John Nguyen
Displacement-constrained vibration-attenuation controller design for linear structure systems with parameter uncertainties. Int. J. Comput. Appl. Technol. 53 (1) (2016)
Ji Ge, Zheng Gong, Jun Chen, Jun Liu, John Nguyen, Zongyi Yang, Chen Wang, Yu Sun
A System for Counting Fetal and Maternal Red Blood Cells. IEEE Trans. Biomed. Eng. 61 (12) (2014)
Kathy Pribbenow, John Nguyen
Developing a flexible online learning management system to facilitate various aspects of instructor-led training and lab administration. SIGUCCS (2002)
James Z. Wang, John Nguyen, Kin-Koi Lo, Christine Law, Donald P. Regula
Multiresolution browsing of pathology images using wavelets. AMIA (1999)
Gill A. Pratt, John Nguyen
Distributed synchronous clocking. ARVLSI (1995)
Gill A. Pratt, John Nguyen
Distributed Synchronous Clocking. IEEE Trans. Parallel Distributed Syst. 6 (3) (1995)
John Nguyen, John Pezaris, Gill A. Pratt, Steve Ward
Three-Dimensional Network Topologies. PCRCW (1994)
Steve Ward, Karim Abdalla, Rajeev Dujari, Michael Fetterman, Frank Honoré, Ricardo Jenez, Philippe Laffont, Kenneth Mackenzie, Chris Metcalf, Milan Minsky, John Nguyen, John Pezaris, Gill A. Pratt, Russell Tessier
The NuMesh: A Modular, Scalable Communications Substrate. International Conference on Supercomputing (1993)