612 citations · 2.7k across the 63 of their papers we have counts for
13 papers · 1 filter
A Coopetitive-Compatible Data Generation Framework for Cross-silo Federated Learning
Thanh Linh Nguyen, Quoc-Viet Pham
Cross-silo federated learning (CFL) enables organizations (e.g., hospitals or banks) to collaboratively train artificial intelligence (AI) models while preserving data privacy by k…
Diffusion Models for Future Networks and Communications: A Comprehensive Survey
Nguyen Cong Luong, Nguyen Duc Hai, Duc Van Le +9
The rise of Generative AI (GenAI) in recent years has catalyzed transformative advances in wireless communications and networks. Among the members of the GenAI family, Diffusion Mo…
Carpe Diem: Critical Learning Period-Aware Contract-Based Incentives for Federated Learning
Thanh Linh Nguyen, Dinh Thai Hoang, Diep N. Nguyen +1
Critical learning periods (CLPs) in federated learning (FL) refer to early stages during which low-quality contributions (e.g., sparse training data availability) can permanently i…
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…
Revisiting LARS for Large Batch Training Generalization of Neural Networks
Khoi Do, Duong Nguyen, Hoa Nguyen +3
This paper explores Large Batch Training techniques using layer-wise adaptive scaling ratio (LARS) across diverse settings, uncovering insights. LARS algorithms with warm-up tend t…
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics
Yahao Ding, Zhaohui Yang, Quoc-Viet Pham +2
Unmanned aerial vehicle (UAV) swarms are considered as a promising technique for next-generation communication networks due to their flexibility, mobility, low cost, and the abilit…
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…
Federated Learning for Smart Healthcare: A Survey
Dinh C. Nguyen, Quoc-Viet Pham, Pubudu N. Pathirana +5
Recent advances in communication technologies and Internet-of-Medical-Things have transformed smart healthcare enabled by artificial intelligence (AI). Traditionally, AI techniques…
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions
Thippa Reddy Gadekallu, Quoc-Viet Pham, Thien Huynh-The +6
In the recent years, generation of data have escalated to extensive dimensions and big data has emerged as a propelling force in the development of various machine learning advance…
Transfer Learning for Future Wireless Networks: A Comprehensive Survey
Cong T. Nguyen, Nguyen Van Huynh, Nam H. Chu +7
With outstanding features, Machine Learning (ML) has been the backbone of numerous applications in wireless networks. However, the conventional ML approaches have been facing many…
Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey
Prabadevi B, Quoc-Viet Pham, Madhusanka Liyanage +7
Electricity is one of the mandatory commodities for mankind today. To address challenges and issues in the transmission of electricity through the traditional grid, the concepts of…
Sum-Rate Maximization for UAV-assisted Visible Light Communications using NOMA: Swarm Intelligence meets Machine Learning
Quoc-Viet Pham, Thien Huynh-The, Mamoun Alazab +2
As the integration of unmanned aerial vehicles (UAVs) into visible light communications (VLC) can offer many benefits for massive-connectivity applications and services in 5G and b…