612 citations · 2.7k across the 63 of their papers we have counts for
10 papers · 1 filter
Edge Computing for Semantic Communication Enabled Metaverse: An Incentive Mechanism Design
Nguyen Cong Luong, Quoc-Viet Pham, Thien Huynh-The +3
Semantic communication (SemCom) and edge computing are two disruptive solutions to address emerging requirements of huge data communication, bandwidth efficiency and low latency da…
Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions
Senthil Kumar Jagatheesaperumal, Quoc-Viet Pham, Rukhsana Ruby +3
Explainable Artificial Intelligence (XAI) is transforming the field of Artificial Intelligence (AI) by enhancing the trust of end-users in machines. As the number of connected devi…
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…
Resource Allocation for Compression-aided Federated Learning with High Distortion Rate
Xuan-Tung Nguyen, Minh-Duong Nguyen, Quoc-Viet Pham +2
Recently, a considerable amount of works have been made to tackle the communication burden in federated learning (FL) (e.g., model quantization, data sparsification, and model comp…
IIFNet: A Fusion based Intelligent Service for Noisy Preamble Detection in 6G
Sunder Ali Khowaja, Kapal Dev, Parus Khuwaja +4
In this article, we present our vision of preamble detection in a physical random access channel for next-generation (Next-G) networks using machine learning techniques. Preamble d…
Aerial Computing: A New Computing Paradigm, Applications, and Challenges
Quoc-Viet Pham, Rukhsana Ruby, Fang Fang +5
In existing computing systems, such as edge computing and cloud computing, several emerging applications and practical scenarios are mostly unavailable or only partially implemente…
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…
Blockchain for the Metaverse: A Review
Thippa Reddy Gadekallu, Thien Huynh-The, Weizheng Wang +5
Since Facebook officially changed its name to Metaverse in Oct. 2021, the metaverse has become a new norm of social networks and three-dimensional (3D) virtual worlds. The metavers…
Artificial Intelligence for the Metaverse: A Survey
Thien Huynh-The, Quoc-Viet Pham, Xuan-Qui Pham +3
Along with the massive growth of the Internet from the 1990s until now, various innovative technologies have been created to bring users breathtaking experiences with more virtual…
AI-enabled mm-Waveform Configuration for Autonomous Vehicles with Integrated Communication and Sensing
Nam H. Chu, Diep N. Nguyen, Dinh Thai Hoang +4
Integrated Communications and Sensing (ICS) has recently emerged as an enabling technology for ubiquitous sensing and IoT applications. For ICS application to Autonomous Vehicles (…