23 citations · 31 across the 12 of their papers we have counts for
6 papers · 1 filter
Knowledge Abstraction for Knowledge-based Semantic Communication: A Generative Causality Invariant Approach
Minh-Duong Nguyen, Quoc-Viet Pham, Nguyen H. Tran +3
In this study, we design a low-complexity and generalized AI model that can capture common knowledge to improve data reconstruction of the channel decoder for semantic communicatio…
Improving Generalization in Heterogeneous Federated Continual Learning via Spatio-Temporal Gradient Matching with Prototypical Coreset
Minh-Duong Nguyen, Le-Tuan Nguyen, Quoc-Viet Pham
Federated Continual Learning (FCL) has recently emerged as a crucial research area, as data from distributed clients typically arrives as a stream, requiring sequential learning. T…
Energy-Efficient and Real-Time Sensing for Federated Continual Learning via Sample-Driven Control
Minh Ngoc Luu, Minh-Duong Nguyen, Ebrahim Bedeer +4
An intelligent Real-Time Sensing (RTS) system must continuously acquire, update, integrate, and apply knowledge to adapt to real-world dynamics. Managing distributed intelligence i…
Distortion Resilience for Goal-Oriented Semantic Communication
Minh-Duong Nguyen, Quang-Vinh Do, Zhaohui Yang +2
Recent research efforts on Semantic Communication (SemCom) have mostly considered accuracy as a main problem for optimizing goal-oriented communication systems. However, these appr…
Label driven Knowledge Distillation for Federated Learning with non-IID Data
Minh-Duong Nguyen, Quoc-Viet Pham, Dinh Thai Hoang +3
In real-world applications, Federated Learning (FL) meets two challenges: (1) scalability, especially when applied to massive IoT networks; and (2) how to be robust against an envi…
HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks
Minh-Duong Nguyen, Sang-Min Lee, Quoc-Viet Pham +3
Federated learning (FL) is a new artificial intelligence concept that enables Internet-of-Things (IoT) devices to learn a collaborative model without sending the raw data to centra…