| HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks MD Nguyen, SM Lee, QV Pham, DT Hoang, DN Nguyen, WJ Hwang IEEE Transactions on Mobile Computing, 2022 | 34 | 2022 |
| Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey TH Vu, SK Jagatheesaperumal, MD Nguyen, N Van Huynh, S Kim, ... IEEE Internet of Things Journal, 2024 | 9 | 2024 |
| Resource allocation for compression-aided federated learning with high distortion rate XT Nguyen, MD Nguyen, QV Pham, VQ Do, WJ Hwang arXiv preprint arXiv:2206.06976, 2022 | 7 | 2022 |
| Sample-driven Federated Learning for energy-efficient and real-time IoT sensing MN Luu, MD Nguyen, E Bedeer, VD Nguyen, DT Hoang, DN Nguyen, ... arXiv preprint arXiv:2310.07497, 2023 | 3 | 2023 |
| Label driven knowledge distillation for federated learning with non-IID data MD Nguyen, QV Pham, DT Hoang, L Tran-Thanh, DN Nguyen, WJ Hwang arXiv preprint arXiv:2209.14520, 2022 | 3 | 2022 |
| Revisiting LARS for Large Batch Training Generalization of Neural Networks K Do, D Nguyen, H Nguyen, L Tran-Thanh, QV Pham IEEE Transactions on Artificial Intelligence, 2024 | 2 | 2024 |
| Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks T Hoang, L Nguyen, K Do, D Nguyen, VD Nguyen arXiv preprint arXiv:2407.20249, 2024 | 2 | 2024 |
| Multi-Agent Collaboration Mechanisms: A Survey of LLMs KT Tran, D Dao, MD Nguyen, QV Pham, B O'Sullivan, HD Nguyen arXiv preprint arXiv:2501.06322, 2025 | 1 | 2025 |
| Towards Layer-Wise Personalized Federated Learning: Adaptive Layer Disentanglement via Conflicting Gradients MD Nguyen, NK Le, HK Do, NH Tran, VD Nguyen, Z Yang, VC Trinh https://arxiv.org/abs/2410.02845, 2024 | 1 | 2024 |
| Joint Communication and Computation Framework for Goal-Oriented Semantic Communication with Distortion Rate Resilience MD Nguyen, QV Do, Z Yang, QV Pham, WJ Hwang IEEE Transactions on Mobile Computing, 2024 | 1 | 2024 |
| Pat: Pixel-wise adaptive training for long-tailed segmentation K Do, D Nguyen, NH Tran, VD Nguyen arXiv preprint arXiv:2404.05393, 2024 | 1 | 2024 |
| Federated Domain Generalization with Data-free On-server Gradient Matching MD Nguyen, TB Nguyen, JS Park, WJ Hwang, QV Pham International Conference on Learning Representations (ICLR), 2025 | | 2025 |
| Demystifying LLM-based Multi-Agent Collaboration T Tran, D Dao, MD Nguyen, QV Pham, B O'Sullivan, H D. Nguyen AAAI 2025 Workshop on Advancing LLM-Based Multi-Agent Collaboration, 2024 | | 2024 |
| Empowering Federated Learning with DDPG for Energy Efficiency in Communication Networks MN Luu, MD Nguyen, QV Pham 2024 Tenth International Conference on Communications and Electronics (ICCE …, 2024 | | 2024 |
| How Homogenizing the Channel-wise Magnitude Can Enhance EEG Classification Model? H Ngo, K Do, D Nguyen, VD Nguyen, L Dang arXiv preprint arXiv:2407.20247, 2024 | | 2024 |
| Domain Generalization via Pareto Optimality Gradient Matching MD Nguyen, NK Le, HK Do https://openreview.net/forum?id=VfvxZLXYgd, 2024 | | 2024 |
| Sample-Driven Control for Federated Learning for IoT Network with Real-Time Sensing NM Luu, MD Nguyen, E Bedeer, D Nguyen, QV Pham | | 2023 |
| Semantic Communication for Partial Observation Multi-agent Reinforcement Learning HK Do, TQ Dinh, MD Nguyen, TH Nguyen 2023 IEEE Statistical Signal Processing Workshop (SSP), 319-323, 2023 | | 2023 |
| Personal Federated Learning via Momentum Target with Self-Improvement TB Nguyen, HK Do, MD Nguyen, TH Nguyen The International Conference on Intelligent Systems & Networks, 247-253, 2023 | | 2023 |
| FFD: A Full-Stack Federated Distillation method for Heterogeneous Massive IoT Networks MD Nguyen, HS Luong, QV Pham, QV Do, WJ Hwang 2022 International Conference on Advanced Technologies for Communications …, 2022 | | 2022 |
Viet Quoc PhamHighly Cited Researcher, Trinity College DublinVahvistettu sähköpostiosoite verkkotunnuksessa tcd.ie