most citedA Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions

13 citations · 13 across the 1 of their papers we have counts for

collaborators

8 papers

cs.CR20242 cited

Privacy-Preserving Cyberattack Detection in Blockchain-Based IoT Systems Using AI and Homomorphic Encryption

Bui Duc Manh, Chi-Hieu Nguyen, Dinh Thai Hoang +3

This work proposes a novel privacy-preserving cyberattack detection framework for blockchain-based Internet-of-Things (IoT) systems. In our approach, artificial intelligence (AI)-d…

cs.NI20249 cited

A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions

Ons Aouedi, Thai-Hoc Vu, Alessio Sacco +4

The rapid advances in the Internet of Things (IoT) have promoted a revolution in communication technology and offered various customer services. Artificial intelligence (AI) techni…

cs.IT2023

Time-Division Based Integrated Sensing, Communication, and Computing in Integrated Satellite-Terrestrial Networks

Xiangming Zhu, Hua Wang, Zhaohui Yang +1

In this paper, we investigate time-division based framework for integrated sensing, communication, and computing in integrated satellite-terrestrial networks. We consider a scenari…

cs.NI20231 cited

Applications of Distributed Machine Learning for the Internet-of-Things: A Comprehensive Survey

Mai Le, Thien Huynh-The, Tan Do-Duy +3

The emergence of new services and applications in emerging wireless networks (e.g., beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) in th…

eess.SP202350 cited

Physical Layer Security for NOMA Systems: Requirements, Issues, and Recommendations

Saeid Pakravan, Jean-Yves Chouinard, Xingwang Li +4

Non-orthogonal multiple access (NOMA) has been viewed as a potential candidate for the upcoming generation of wireless communication systems. Comparing to traditional orthogonal mu…

cs.NI2023

Wirelessly Powered Federated Learning Networks: Joint Power Transfer, Data Sensing, Model Training, and Resource Allocation

Mai Le, Dinh Thai Hoang, Diep N. Nguyen +2

Federated learning (FL) has found many successes in wireless networks; however, the implementation of FL has been hindered by the energy limitation of mobile devices (MDs) and the…