[HTML][HTML] 6G edge-networks and multi-UAV knowledge fusion for urban autonomous vehicles

MW Nawaz, W Zhang, D Flynn, L Zhang, R Swash… - Physical …, 2024 - Elsevier
The advent of 6G wireless networks has the potential to unlock diverse applications of
scalable autonomy. By advantageously coupling the individual and aggregated attributes of …

Joint self-organizing maps and knowledge distillation-based communication-efficient federated learning for resource-constrained UAV-IoT systems

G Gad, A Farrag, A Aboulfotouh… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
The adoption of Internet of Things (IoT) and monitoring devices in 5G and beyond networks
has been widespread. Unmanned aerial vehicles (UAVs) have shown success in …

Elastic collaborative edge intelligence for UAV swarm: Architecture, challenges, and opportunities

Y Qu, H Sun, C Dong, J Kang, H Dai… - IEEE …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been widely used in military and civilian fields by
carrying out intelligent applications with deep learning technologies, such as battlefield …

Decentralized federated learning for UAV networks: Architecture, challenges, and opportunities

Y Qu, H Dai, Y Zhuang, J Chen, C Dong, F Wu… - IEEE …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs), or drones, are envisioned to support extensive
applications in next-generation wireless networks in both civil and military fields …

Decentralized federated learning for extended sensing in 6G connected vehicles

L Barbieri, S Savazzi, M Brambilla, M Nicoli - Vehicular Communications, 2022 - Elsevier
Research on smart connected vehicles has recently targeted the integration of vehicle-to-
everything (V2X) networks with Machine Learning (ML) tools and distributed decision …

Blockchain-Based Trustworthy and Efficient Hierarchical Federated Learning for UAV-Enabled IoT Networks

Z Tong, J Wang, X Hou, J Chen… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) empowered Internet of things (IoT) networks have
emerged as a burgeoning paradigm in the era of 6G. However, due to substantial data …

Stitch-able Split Learning Assisted Multi-UAV Systems

T Sun, X Wang, X Ye, B Han - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs), commonly known as drones, have gained widespread
popularity due to their ease of deployment and high agility in various applications. In …

Multi-constrained and edge-enabled selection of UAV participants in federated learning process

S Dahmane, MB Yagoubi, B Brik, CA Kerrache… - Electronics, 2022 - mdpi.com
Unmanned aerial vehicles (UAVs) have gained increasing attention in boosting the
performance of conventional networks due to their small size, high efficiency, low cost, and …

[HTML][HTML] Fed4UL: A Cloud–Edge–End Collaborative Federated Learning Framework for Addressing the Non-IID Data Issue in UAV Logistics

C Zhang, X Liu, A Yao, J Bai, C Dong, S Pal, F Jiang - Drones, 2024 - mdpi.com
Artificial intelligence and the Internet of Things (IoT) have brought great convenience to
people's everyday lives. With the emergence of edge computing, IoT devices such as …

Blockchain-based federated learning in UAVs beyond 5G networks: A solution taxonomy and future directions

D Saraswat, A Verma, P Bhattacharya, S Tanwar… - IEEE …, 2022 - ieeexplore.ieee.org
Recently, unmanned aerial vehicles (UAVs) have gained attention due to increased use-
cases in healthcare, monitoring, surveillance, and logistics operations. UAVs mainly …