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 …
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 …
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 …
Three-stage Stackelberg game enabled clustered federated learning in heterogeneous UAV swarms
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 …
force reshaping our lives and work. In particular, advances in artificial intelligence have …
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 …
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 …
UAV-assisted online machine learning over multi-tiered networks: A hierarchical nested personalized federated learning approach
We investigate training machine learning (ML) models across a set of geo-distributed,
resource-constrained clusters of devices through unmanned aerial vehicles (UAV) swarms …
resource-constrained clusters of devices through unmanned aerial vehicles (UAV) swarms …
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 …
Joint auction-coalition formation framework for communication-efficient federated learning in UAV-enabled internet of vehicles
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 …
vehicles, Roadside Units (RSUs) and smart devices as well as the increasing amount of …
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