Data-driven flight control of internet-of-drones for sensor data aggregation using multi-agent deep reinforcement learning
Energy-harvesting-powered sensors are increasingly deployed beyond the reach of
terrestrial gateways, where there is often no persistent power supply. Making use of the …
terrestrial gateways, where there is often no persistent power supply. Making use of the …
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 …
On addressing heterogeneity in federated learning for autonomous vehicles connected to a drone orchestrator
In this paper we envision a federated learning (FL) scenario in service of amending the
performance of autonomous road vehicles, through a drone traffic monitor (DTM), that also …
performance of autonomous road vehicles, through a drone traffic monitor (DTM), that also …
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 …
Enhancing the efficiency of UAV swarms communication in 5G networks through a hybrid split and federated learning approach
The integration of unmanned aerial vehicles (UAVs) with 5G networks presents a promising
opportunity to revolutionize wireless communication and provide high-speed internet access …
opportunity to revolutionize wireless communication and provide high-speed internet access …
Enhancing UAV-assisted vehicle edge computing networks through a digital twin-driven task offloading framework
Z Zhang, F Zhang, M Cao, C Feng, D Chen - Wireless Networks, 2024 - Springer
Enhancing the task offload performance of UAV-assisted Vehicular Edge Computing
Networks (VECNs) is complex, especially in vehicle-to-everything (V2X) applications. These …
Networks (VECNs) is complex, especially in vehicle-to-everything (V2X) applications. These …
A survey of federated learning for connected and automated vehicles
Connected and Automated Vehicles (CAVs) represent a rapidly growing technology in the
automotive domain sector, offering promising solutions to address challenges such as traffic …
automotive domain sector, offering promising solutions to address challenges such as traffic …
[图书][B] Enabling Incremental Federated Learning for Autonomous Driving: A Network Perspective
P Subedi - 2022 - search.proquest.com
Autonomous driving relies greatly on deep learning models to comprehend the
surroundings and activities of the road systems. These learning models are traditionally …
surroundings and activities of the road systems. These learning models are traditionally …
Reliable and Communication-Efficient Federated Learning for Future Intelligent Edge Networks
M Mestoukirdi - 2023 - theses.hal.science
In the realm of future 6G wireless networks, integrating the intelligent edge through the
advent of AI signifies a momentous leap forward, promising revolutionary advancements in …
advent of AI signifies a momentous leap forward, promising revolutionary advancements in …
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 …