Federated learning assisted multi-UAV networks

H Zhang, L Hanzo - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
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 …

Three-stage stackelberg game enabled clustered federated learning in heterogeneous UAV swarms

W He, H Yao, T Mai, F Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In the past decade, the unmanned aerial vehicles (UAVs) swarm has become a disruptive
force reshaping our lives and work. In particular, advances in artificial intelligence have …

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 …

Federated learning for UAVs-enabled wireless networks: Use cases, challenges, and open problems

B Brik, A Ksentini, M Bouaziz - IEEE Access, 2020 - ieeexplore.ieee.org
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 …

Joint training and resource allocation optimization for federated learning in UAV swarm

Y Shen, Y Qu, C Dong, F Zhou… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been widely used to perform search and tracking
tasks in military and civil fields. To perform these tasks autonomously, a swarm of multiple …

Empowering edge intelligence by air-ground integrated federated learning

Y Qu, C Dong, J Zheng, H Dai, F Wu, S Guo… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

Joint auction-coalition formation framework for communication-efficient federated learning in UAV-enabled internet of vehicles

JS Ng, WYB Lim, HN Dai, Z Xiong… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
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 …

Federated learning in the sky: Joint power allocation and scheduling with UAV swarms

T Zeng, O Semiari, M Mozaffari, M Chen… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) swarms must exploit machine learning (ML) in order to
execute various tasks ranging from coordinated trajectory planning to cooperative target …

UAV-assisted communication efficient federated learning in the era of the artificial intelligence of things

WYB Lim, S Garg, Z Xiong, Y Zhang, D Niyato… - IEEE …, 2021 - ieeexplore.ieee.org
Artificial Intelligence (AI) based models are increasingly deployed in the Internet of Things
(IoT), paving the evolution of the IoT into the AI of things (AIoT). Currently, the predominant …

Wireless distributed learning: A new hybrid split and federated learning approach

X Liu, Y Deng, T Mahmoodi - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
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 …