UAV communications with machine learning: challenges, applications and open issues
S Ben Aissa, A Ben Letaifa - Arabian Journal for Science and Engineering, 2022 - Springer
Unmanned aerial vehicles (UAV) have recently proved their ability to afford reliable and cost-
effective solutions for many real-world scenarios. The autonomy, mobility and flexibility …
effective solutions for many real-world scenarios. The autonomy, mobility and flexibility …
Zero-Trust UAV-enabled and DT-supported 6G Networks
I Al Ridhawi, M Aloqaily - GLOBECOM 2023-2023 IEEE Global …, 2023 - ieeexplore.ieee.org
The Sixth Generation (6G) network is a cooperative network that relies on the capabilities of
edge and end-devices. Unmanned Aerial Vehicles (UAV) will play a significant role in this …
edge and end-devices. Unmanned Aerial Vehicles (UAV) will play a significant role in this …
Communication-efficient federated learning in UAV-enabled IoV: A joint auction-coalition approach
Due to the advanced capabilities of the Internet of Vehicles (IoV) components such as
vehicles, Roadside Units (RSUs) and smart devices as well as the increasing amount of …
vehicles, Roadside Units (RSUs) and smart devices as well as the increasing amount of …
A survey of federated learning for connected and automated vehicles
Connected and Automated Vehicles (CAVs) represent a rapidly growing technology in the
automotive domain sector, offering promising solutions to address challenges such as traffic …
automotive domain sector, offering promising solutions to address challenges such as traffic …
Blockchain-Enabled Federated Learning with Neuromorphic Edge Devices for Drone Identification and Flight Mode Detection
A Henderson, C Yakopcic, J Colter… - 2023 IEEE/AIAA …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs), also known as drones, are expected to play an integral
role in next-generation wireless avionics networks. To help secure these networks from …
role in next-generation wireless avionics networks. To help secure these networks from …
Communication-efficient federated learning in drone-assisted IoT networks: Path planning and enhanced knowledge distillation techniques
As 5G and beyond networks continue to proliferate, intelligent monitoring systems are
becoming increasingly prevalent. However, geographically isolated regions with sparse …
becoming increasingly prevalent. However, geographically isolated regions with sparse …
A Federated Reinforcement Learning Approach for Optimizing Wireless Communication in UAV-Enabled IoT Network With Dense Deployments
F Yang, Z Zhao, J Huang, P Liu, A Tolba… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
In unmanned aerial vehicle (UAV)-enabled Internet of Things (IoT) networks, the
communication ranges between densely deployed IoT devices overlap, resulting in wireless …
communication ranges between densely deployed IoT devices overlap, resulting in wireless …
Blockchain-enabled federated learning for UAV edge computing network: Issues and solutions
C Zhu, X Zhu, J Ren, T Qin - Ieee Access, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) extend the traditional ground-based Internet of Things
(IoT) into the air. UAV mobile edge computing (MEC) architectures have been proposed by …
(IoT) into the air. UAV mobile edge computing (MEC) architectures have been proposed by …
Hierarchical Federated Edge Learning over Space-Air-Ground Integrated Networks
Federated learning (FL), as a key application scenario to support distributed artificial
intelligence (AI) services, allows an amount of edge devices to train a global model in …
intelligence (AI) services, allows an amount of edge devices to train a global model in …
UAV-assisted online machine learning over multi-tiered networks: A hierarchical nested personalized federated learning approach
We investigate training machine learning (ML) models across a set of geo-distributed,
resource-constrained clusters of devices through unmanned aerial vehicles (UAV) swarms …
resource-constrained clusters of devices through unmanned aerial vehicles (UAV) swarms …