612 citations · 2.7k across the 63 of their papers we have counts for
16 papers · 1 filter
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…
Blockchain for Edge of Things: Applications, Opportunities, and Challenges
Thippa Reddy Gadekallu, Quoc-Viet Pham, Dinh C. Nguyen +6
In recent years, blockchain networks have attracted significant attention in many research areas beyond cryptocurrency, one of them being the Edge of Things (EoT) that is enabled b…
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…
Secure Swarm UAV-assisted Communications with Cooperative Friendly Jamming
Hanh Dang-Ngoc, Diep N. Nguyen, Khuong Ho-Van +4
This article proposes a cooperative friendly jamming framework for swarm unmanned aerial vehicle (UAV)-assisted amplify-and-forward (AF) relaying networks with wireless energy harv…
Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts
Quoc-Viet Pham, Dinh C. Nguyen, Thien Huynh-The +2
The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec. 2019. The COVID-19 pandemic has spread over 214 countries and areas in the world, and ha…
Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated Learning
Shaashwat Agrawal, Sagnik Sarkar, Mamoun Alazab +3
Federated learning (FL) is a distributed model for deep learning that integrates client-server architecture, edge computing, and real-time intelligence. FL has the capability of re…
Federated Learning Framework with Straggling Mitigation and Privacy-Awareness for AI-based Mobile Application Services
Yuris Mulya Saputra, Diep N. Nguyen, Dinh Thai Hoang +3
In this work, we propose a novel framework to address straggling and privacy issues for federated learning (FL)-based mobile application services, taking into account limited compu…
Toward Blockchain for Edge-of-Things: A New Paradigm, Opportunities, and Future Directions
Prabadevi B, N Deepa, Quoc-Viet Pham +5
Blockchain is gaining momentum as a promising technology for many application domains, one of them being the Edge-of- Things (EoT) that is enabled by the integration of edge comput…
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges
Dinh C. Nguyen, Ming Ding, Quoc-Viet Pham +6
Mobile edge computing (MEC) has been envisioned as a promising paradigm to handle the massive volume of data generated from ubiquitous mobile devices for enabling intelligent servi…
UAV Communications for Sustainable Federated Learning
Quoc-Viet Pham, Ming Zeng, Rukhsana Ruby +2
Federated learning (FL), invented by Google in 2016, has become a hot research trend. However, enabling FL in wireless networks has to overcome the limited battery challenge of mob…
Survey on Aerial Radio Access Networks: Toward a Comprehensive 6G Access Infrastructure
Nhu-Ngoc Dao, Quoc-Viet Pham, Ngo Hoang Tu +4
Current network access infrastructures are characterized by heterogeneity, low latency, high throughput, and high computational capability, enabling massive concurrent connections…
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…
IRS-Empowered Wireless Communications: State-of-the-Art, Key Techniques, and Open Issues
Ming Zeng, Ebrahim Bedeer, Xingwang Li +4
In this article, we overview intelligent reflecting surface (IRS)-empowered wireless communication systems. We first present the fundamentals of IRS-assisted wireless transmission.…
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…
Fusion of Federated Learning and Industrial Internet of Things: A Survey
Parimala M, Swarna Priya R M, Quoc-Viet Pham +4
Industrial Internet of Things (IIoT) lays a new paradigm for the concept of Industry 4.0 and paves an insight for new industrial era. Nowadays smart machines and smart factories us…