no code implementations • 21 Feb 2024 • Tue M. Cao, Nhat H. Tran, Hieu H. Pham, Hung T. Nguyen, Le P. Nguyen
Most of the previous approaches to Time Series Classification (TSC) highlight the significance of receptive fields and frequencies while overlooking the time resolution.
no code implementations • 17 Aug 2022 • Hung T. Nguyen, Steven Bottone, Kwang Taik Kim, Mung Chiang, H. Vincent Poor
Symbol detection is a fundamental and challenging problem in modern communication systems, e. g., multiuser multiple-input multiple-output (MIMO) setting.
no code implementations • 23 Mar 2022 • Hung T. Nguyen, H. Vincent Poor, Mung Chiang
However, existing algorithms face issues with slow convergence and/or robustness of performance due to the considerable heterogeneity of data distribution, computation and communication capability at the edge.
no code implementations • 21 Dec 2021 • Hung T. Nguyen, Steven Bottone, Kwang Taik Kim, Mung Chiang, H. Vincent Poor
To demonstrate the performance of our framework, we combine it with the very recent neural decoders and show improved performance compared to the original models and traditional decoding algorithms on various codes.
no code implementations • 21 Dec 2021 • Hung T. Nguyen, Roberto Morabito, Kwang Taik Kim, Mung Chiang
Edge computing has revolutionized the world of mobile and wireless networks world thanks to its flexible, secure, and performing characteristics.
no code implementations • 7 Oct 2020 • Hung T. Nguyen, Pierre J. Liang, Leman Akoglu
Within a large database G containing graphs with labeled nodes and directed, multi-edges; how can we detect the anomalous graphs?
no code implementations • 26 Jul 2020 • Hung T. Nguyen, Vikash Sehwag, Seyyedali Hosseinalipour, Christopher G. Brinton, Mung Chiang, H. Vincent Poor
In this paper, we propose a fast-convergent federated learning algorithm, called FOLB, which performs intelligent sampling of devices in each round of model training to optimize the expected convergence speed.
1 code implementation • 13 Sep 2018 • Saba Eskandarian, Jonathan Cogan, Sawyer Birnbaum, Peh Chang Wei Brandon, Dillon Franke, Forest Fraser, Gaspar Garcia Jr., Eric Gong, Hung T. Nguyen, Taresh K. Sethi, Vishal Subbiah, Michael Backes, Giancarlo Pellegrino, Dan Boneh
In this work, we present Fidelius, a new architecture that uses trusted hardware enclaves integrated into the browser to enable protection of user secrets during web browsing sessions, even if the entire underlying browser and OS are fully controlled by a malicious attacker.
Cryptography and Security
1 code implementation • IEEE 2016 • Hung T. Nguyen, Thang N. Dinh, My T. Thai
In this paper, we propose a new problem, called Cost-aware Targeted Viral Marketing (CTVM), to find the most cost-effective seed users who can influence the most relevant users to the advertisement.