Unmanned aerial vehicles (UAVs) can be used to support data gathering, training of models,
and wireless communication by acting as flying Base Stations (BSs). The usage of UAVs for …

Unmanned aerial vehicles (UAVs), or drones, are envisioned to support extensive
applications in next-generation wireless networks in both civil and military fields …

UAVs or Drones can be used to support wireless communication by acting as flying or
mobile Base Stations for the accumulation of the different types of data to train the models …

The use of Unmanned Aerial Vehicles (UAVs) for wireless networks is rapidly growing as
key enablers of new applications, including: surveillance and monitoring, military, delivery of …

The unique characteristics of Unmanned Aerial Vehicle (UAV) networks, including limited
resources, dynamic topology, and heterogeneity, pose significant challenges for integration …

Federated Learning (FL) is a decentralized machine learning (ML) technique that allows a
number of participants to train an ML model collaboratively without having to share their …

Privacy, scalability, and reliability are significant challenges in unmanned aerial vehicle
(UAV) networks as distributed systems, especially when employing machine learning (ML) …

Unmanned aerial vehicles (UAVs) are capable of serving as flying base stations (BSs) for
supporting data collection, machine learning (ML) model training, and wireless …

Cellular-connected unmanned aerial vehicle (UAV) with flexible deployment is foreseen to
be a major part of the sixth generation (6G) networks. The UAVs connected to the base …

Unmanned aerial vehicles (UAVs) have been recognized as a promising technology to be
used in a wide range of civilian, public and military applications. However, given their limited …