612 citations · 2.7k across the 63 of their papers we have counts for
9 papers · 1 filter
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…
Semantic Communication with Probability Graph: A Joint Communication and Computation Design
Zhouxiang Zhao, Zhaohui Yang, Quoc-Viet Pham +2
In this paper, we present a probability graph-based semantic information compression system for scenarios where the base station (BS) and the user share common background knowledge…
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…
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…
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…
Metaverse for Industry 5.0 in NextG Communications: Potential Applications and Future Challenges
B. Prabadevi, N. Deepa, Nancy Victor +7
With the advent of new technologies and endeavors for automation in almost all day-to-day activities, the recent discussions on the metaverse life have a greater expectation. Furth…
A Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions
Ali Kashif Bashir, Nancy Victor, Sweta Bhattacharya +7
Recent technological advancements have considerately improved healthcare systems to provide various intelligent healthcare services and improve the quality of life. Federated learn…
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…