1 citations · 1 across the 4 of their papers we have counts for
5 papers
Interference Cancellation GAN Framework for Dynamic Channels
Hung T. Nguyen, Steven Bottone, Kwang Taik Kim +2
Symbol detection is a fundamental and challenging problem in modern communication systems, e.g., multiuser multiple-input multiple-output (MIMO) setting. Iterative Soft Interferenc…
Contextual Model Aggregation for Fast and Robust Federated Learning in Edge Computing
Hung T. Nguyen, H. Vincent Poor, Mung Chiang
Federated learning is a prime candidate for distributed machine learning at the network edge due to the low communication complexity and privacy protection among other attractive p…
Adversarial Neural Networks for Error Correcting Codes
Hung T. Nguyen, Steven Bottone, Kwang Taik Kim +2
Error correcting codes are a fundamental component in modern day communication systems, demanding extremely high throughput, ultra-reliability and low latency. Recent approaches us…
On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge
Hung T. Nguyen, Roberto Morabito, Kwang Taik Kim +1
Edge computing has revolutionized the world of mobile and wireless networks world thanks to its flexible, secure, and performing characteristics. Lately, we have witnessed the incr…
Fast-Convergent Federated Learning
Hung T. Nguyen, Vikash Sehwag, Seyyedali Hosseinalipour +3
Federated learning has emerged recently as a promising solution for distributing machine learning tasks through modern networks of mobile devices. Recent studies have obtained lowe…