Distributed machine learning for uav swarms: Computing, sensing, and semantics

Y Ding, Z Yang, QV Pham, Y Hu… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The unmanned aerial vehicle (UAV) swarms have shown great potential to serve next-
generation communication networks with their extraordinary flexibility, affordability, and the …

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 …

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 …

Deep reinforcement learning for trajectory path planning and distributed inference in resource-constrained UAV swarms

MA Dhuheir, E Baccour, A Erbad… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The deployment flexibility and maneuverability of unmanned aerial vehicles (UAVs)
increased their adoption in various applications, such as wildfire tracking, border monitoring …

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 …

Asynchronous and synchronous federated learning-based uavs

I Sharma, A Sharma, SK Gupta - 2023 Third International …, 2023 - ieeexplore.ieee.org
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 …

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 …

Distributed reinforcement learning for flexible and efficient UAV swarm control

F Venturini, F Mason, F Pase, F Chiariotti… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Over the past few years, the use of swarms of Unmanned Aerial Vehicles (UAVs) in
monitoring and remote area surveillance applications has become widespread thanks to the …

Federated learning for UAV swarms under class imbalance and power consumption constraints

I Mrad, L Samara, AA Abdellatif… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
The usage of unmanned aerial vehicles (UAVs) in civil and military applications continues to
increase due to the numerous advantages that they provide over conventional approaches …

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 …