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 …
Communication-efficient federated learning in drone-assisted IoT networks: Path planning and enhanced knowledge distillation techniques
As 5G and beyond networks continue to proliferate, intelligent monitoring systems are
becoming increasingly prevalent. However, geographically isolated regions with sparse …
becoming increasingly prevalent. However, geographically isolated regions with sparse …
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 …
Asynchronous Federated Learning for Resource Allocation in Software Defined Internet of UAVs
KI Qureshi, L Wang, X Xiong… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The use of unmanned aerial vehicles (UAVs) as flying base stations to support various tasks,
such as data collection, machine learning (ML) model training, and wireless communication …
such as data collection, machine learning (ML) model training, and wireless communication …
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 …
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 …
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 …
Joint UAV location and resource allocation for air-ground integrated federated learning
Y Jing, Y Qu, C Dong, Y Shen, Z Wei… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
With the envision of sixth generation (6G) network technology, varied artificial intelligence
(AI) services gradually develop from the network center to the edge, which makes …
(AI) services gradually develop from the network center to the edge, which makes …
Multi-UAV-assisted federated learning for energy-aware distributed edge training
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) has largely
extended the border and capacity of artificial intelligence of things (AIoT) by providing a key …
extended the border and capacity of artificial intelligence of things (AIoT) by providing a key …
Deep reinforcement learning for trajectory path planning and distributed inference in resource-constrained UAV swarms
The deployment flexibility and maneuverability of unmanned aerial vehicles (UAVs)
increased their adoption in various applications, such as wildfire tracking, border monitoring …
increased their adoption in various applications, such as wildfire tracking, border monitoring …