Federated learning in satellite constellations
Empowered by their exceptional versatility and autonomy, unmanned vehicles (UxVs),
including ground, aerial, surface and underwater vehicles, are emerging as promising tools …
including ground, aerial, surface and underwater vehicles, are emerging as promising tools …
Federated learning for UAVs-enabled wireless networks: Use cases, challenges, and open problems
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 …
key enablers of new applications, including: surveillance and monitoring, military, delivery of …
Unmanned surface vessel assisted maritime wireless communication toward 6G: Opportunities and challenges
Sixth generation (6G) mobile communication aims to construct an autonomous network
architecture with human-like consciousness and intelligence. 6G mobile technology is …
architecture with human-like consciousness and intelligence. 6G mobile technology is …
Decentralized federated learning for UAV networks: Architecture, challenges, and opportunities
Unmanned aerial vehicles (UAVs), or drones, are envisioned to support extensive
applications in next-generation wireless networks in both civil and military fields …
applications in next-generation wireless networks in both civil and military fields …
Joint self-organizing maps and knowledge distillation-based communication-efficient federated learning for resource-constrained UAV-IoT systems
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 …
has been widespread. Unmanned aerial vehicles (UAVs) have shown success in …
Empowering edge intelligence by air-ground integrated federated learning
Ubiquitous intelligence has been widely recognized as a critical vision of the future sixth
generation (6G) networks, which implies intelligence over the whole network from the core to …
generation (6G) networks, which implies intelligence over the whole network from the core to …
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 …
Exploiting UAV for air–ground integrated federated learning: A joint UAV location and resource optimization approach
Y Jing, Y Qu, C Dong, W Ren, Y Shen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recently, many exciting usage scenarios and groundbreaking technologies for sixth
generation (6G) networks have drawn more and more attention. The revolution of 6G mainly …
generation (6G) networks have drawn more and more attention. The revolution of 6G mainly …
Reinforcement learning for a cellular internet of UAVs: Protocol design, trajectory control, and resource management
Unmanned aerial vehicles (UAVs) can be powerful Internet of Things components to
execute sensing tasks over the next-generation cellular networks, which are generally …
execute sensing tasks over the next-generation cellular networks, which are generally …
SkyCore: Moving core to the edge for untethered and reliable UAV-based LTE networks
M Moradi, K Sundaresan, E Chai… - Proceedings of the 24th …, 2018 - dl.acm.org
The advances in unmanned aerial vehicle (UAV) technology have empowered mobile
operators to deploy LTE base stations (BSs) on UAVs, and provide on-demand, adaptive …
operators to deploy LTE base stations (BSs) on UAVs, and provide on-demand, adaptive …