FedWS: Dealing with Heterogeneous Data on Federated Learning
F Vieira, CAV Campos - 2023 IEEE 26th International …, 2023 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) significantly deliver safe, sustainable, and autonomous
services to Intelligent Transportation Systems and urban air mobility applications. In this …
services to Intelligent Transportation Systems and urban air mobility applications. In this …
Multi-dimensional contract-matching for federated learning in UAV-enabled Internet of Vehicles
Beyond ground data sources, Unmanned Aerial Vehicles (UAVs) based service providers
for data collection and AI model training, ie, Drones-as-a-Service (DaaS), is increasingly …
for data collection and AI model training, ie, Drones-as-a-Service (DaaS), is increasingly …
Federated Learning in Automated Vehicles
S Shamkuwar, A Mondal, R More, S Bodare… - … Conference on Artificial …, 2024 - Springer
The landscape of automated vehicles and the broader automation industry is set to undergo
a significant transformation with the advent of 6G connectivity. Addressing concerns …
a significant transformation with the advent of 6G connectivity. Addressing concerns …
A Deep Reinforcement Learning Approach for Federated Learning Optimization with UAV Trajectory Planning
C Zhang, Y Liu, Z Zhang - 2023 IEEE 34th Annual International …, 2023 - ieeexplore.ieee.org
Federated learning (FL) provides an efficient distributed learning framework for computing-
constrained Unmanned aerial vehicles (UAVs) swarms. However, due to the dynamic …
constrained Unmanned aerial vehicles (UAVs) swarms. However, due to the dynamic …
Leveraging augmented intelligence of things to enhance lifetime of UAV-enabled aerial networks
Augmented intelligence is an innovative amplification of artificial intelligence that allows
human experts to take over the autonomous decision of machines. It also facilitates human …
human experts to take over the autonomous decision of machines. It also facilitates human …
A Hybrid Task Offloading and Resource Allocation Approach For Digital Twin-Empowered UAV-Assisted MEC Network Using Federated Reinforcement Learning For …
Federated learning (FL) is proposed as a different approach for distributed learning on the
edges while maintaining privacy. Existing FL methods, are mainly focused on learning deep …
edges while maintaining privacy. Existing FL methods, are mainly focused on learning deep …
6G V2X technologies and orchestrated sensing for autonomous driving
6G technology targets to revolutionize the mobility industry by revamping the role of wireless
connections. In this article, we draw out our vision on an intelligent, cooperative, and …
connections. In this article, we draw out our vision on an intelligent, cooperative, and …
Air-Ground Integrated Federated Learning: An Experimental Implementation
With the envision of sixth generation (6G) networks technology, diverse artificial intelligence
(AI) services are gradually developed from the network center to the edge, which enables …
(AI) services are gradually developed from the network center to the edge, which enables …
Stable Matching based Revenue Maximization for Federated Learning in UAV-Assisted WBANs
This work explores the coupling of Machine Learning (ML) and Wireless Body Area Network
(WBAN) data to develop highly effective models. To support resource-constrained WBANs …
(WBAN) data to develop highly effective models. To support resource-constrained WBANs …
[PDF][PDF] FL-UAV: Asynchronous Vs Synchronous
A Itika, SK Gupta - Journal of Optoelectronics Laser, 2022 - researchgate.net
ABSTRACT Unmanned Aerial Vehicles (UAVs) can serve as mobile base stations to collect
data, train models, and extend the wireless communications infrastructure. The use of UAVs …
data, train models, and extend the wireless communications infrastructure. The use of UAVs …