Wireless distributed learning: A new hybrid split and federated learning approach
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 …
be a major part of the sixth generation (6G) networks. The UAVs connected to the base …
Energy efficient user scheduling for hybrid split and federated learning in wireless UAV networks
The use of unmanned aerial vehicles (UAVs) as flying users provides various applications
by exploiting machine learning (ML) algorithms. Recently, distributed learning algorithms …
by exploiting machine learning (ML) algorithms. Recently, distributed learning algorithms …
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 …
[HTML][HTML] Hierarchical federated learning for edge-aided unmanned aerial vehicle networks
Federated learning (FL) allows UAVs to collaboratively train a globally shared machine
learning model while locally preserving their private data. Recently, the FL in edge-aided …
learning model while locally preserving their private data. Recently, the FL in edge-aided …
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 …
Privacy-preserving federated learning for UAV-enabled networks: Learning-based joint scheduling and resource management
Unmanned aerial vehicles (UAVs) are capable of serving as flying base stations (BSs) for
supporting data collection, machine learning (ML) model training, and wireless …
supporting data collection, machine learning (ML) model training, and wireless …
Federated learning via unmanned aerial vehicle
Federated learning (FL) has emerged as a promising alternative to centralized machine
learning for exploiting large amounts of data generated by networks while ensuring data …
learning for exploiting large amounts of data generated by networks while ensuring data …
Distributed machine learning for uav swarms: Computing, sensing, and semantics
The unmanned aerial vehicle (UAV) swarms have shown great potential to serve next-
generation communication networks with their extraordinary flexibility, affordability, and the …
generation communication networks with their extraordinary flexibility, affordability, and the …
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 …
used in a wide range of civilian, public and military applications. However, given their limited …
UAV-assisted communication efficient federated learning in the era of the artificial intelligence of things
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 …
(IoT), paving the evolution of the IoT into the AI of things (AIoT). Currently, the predominant …