6G Edge-Networks and Multi-UAV Knowledge Fusion for Urban Autonomous Vehicles
The advent of 6G wireless networks has the potential to unlock diverse applications of
scalable autonomy. By advantageously coupling the individual and aggregated attributes of …
scalable autonomy. By advantageously coupling the individual and aggregated attributes of …
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 …
Elastic Collaborative Edge Intelligence for UAV Swarm: Architecture, Challenges, and Opportunities
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 …
carrying out intelligent applications with deep learning technologies, such as battlefield …
Joint Self-Organizing Maps and Knowledge Distillation-Based Communication-Efficient Federated Learning for Resource-Constrained UAV-IoT Systems
The adoption of IoT and monitoring devices in 5G and beyond networks has been
widespread. Unmanned Aerial vehicles (UAVs) have shown success in connecting rural and …
widespread. Unmanned Aerial vehicles (UAVs) have shown success in connecting rural and …
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 …
[PDF][PDF] Multi-Constrained and Edge-Enabled Selection of UAV Participants in Federated Learning Process. Electronics 2022, 11, 2119
S Dahmane, MB Yagoubi, B Brik, CA Kerrache… - 2022 - academia.edu
Unmanned aerial vehicles (UAVs) have gained increasing attention in boosting the
performance of conventional networks due to their small size, high efficiency, low cost, and …
performance of conventional networks due to their small size, high efficiency, low cost, and …
Decentralized federated learning for extended sensing in 6G connected vehicles
Research on smart connected vehicles has recently targeted the integration of vehicle-to-
everything (V2X) networks with Machine Learning (ML) tools and distributed decision …
everything (V2X) networks with Machine Learning (ML) tools and distributed decision …
Blockchain-Based Trustworthy and Efficient Hierarchical Federated Learning for UAV-Enabled IoT Networks
Unmanned aerial vehicles (UAVs) empowered Internet of things (IoT) networks have
emerged as a burgeoning paradigm in the era of 6G. However, due to substantial data …
emerged as a burgeoning paradigm in the era of 6G. However, due to substantial data …
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 …
and wireless communication by acting as flying Base Stations (BSs). The usage of UAVs for …
Overcoming Environmental Challenges in CAVs through MEC-based Federated Learning
Z Wang, J Nakazato, M Asad… - … on Ubiquitous and …, 2023 - ieeexplore.ieee.org
Connected autonomous vehicles (CAVs), through vehicle-to-everything communication and
computing resources, enable the vital exchange of information. Although deep learning is …
computing resources, enable the vital exchange of information. Although deep learning is …