Federated learning for smart cities: A comprehensive survey

S Pandya, G Srivastava, R Jhaveri, MR Babu… - Sustainable Energy …, 2023 - Elsevier
With the advent of new technologies such as the Artificial Intelligence of Things (AIoT), big
data, fog computing, and edge computing, smart city applications have suffered from issues …

A survey on the convergence of edge computing and AI for UAVs: Opportunities and challenges

P McEnroe, S Wang, M Liyanage - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The latest 5G mobile networks have enabled many exciting Internet of Things (IoT)
applications that employ unmanned aerial vehicles (UAVs/drones). The success of most …

Federated learning in edge computing: a systematic survey

HG Abreha, M Hayajneh, MA Serhani - Sensors, 2022 - mdpi.com
Edge Computing (EC) is a new architecture that extends Cloud Computing (CC) services
closer to data sources. EC combined with Deep Learning (DL) is a promising technology …

Fusion of federated learning and industrial Internet of Things: A survey

P Boobalan, SP Ramu, QV Pham, K Dev, S Pandya… - Computer Networks, 2022 - Elsevier
Abstract Industrial Internet of Things (IIoT) lays a new paradigm for the concept of Industry
4.0 and paves an insight for new industrial era. Nowadays smart machines and smart …

Computing in the sky: A survey on intelligent ubiquitous computing for uav-assisted 6g networks and industry 4.0/5.0

SH Alsamhi, AV Shvetsov, S Kumar, J Hassan… - Drones, 2022 - mdpi.com
Unmanned Aerial Vehicles (UAVs) are increasingly being used in a high-computation
paradigm enabled with smart applications in the Beyond Fifth Generation (B5G) wireless …

Energy-efficient federated learning over UAV-enabled wireless powered communications

QV Pham, M Le, T Huynh-The, Z Han… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Since the invention in 2016, federated learning (FL) has been a key concept of artificial
intelligence, in which the data of FL users needs not to be uploaded to the central server …

AI for UAV-assisted IoT applications: A comprehensive review

N Cheng, S Wu, X Wang, Z Yin, C Li… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT), there are a dramatically
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …

UAV-enabled covert federated learning

X Hou, J Wang, C Jiang, X Zhang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Integrating unmanned aerial vehicles (UAVs) with federated learning (FL) has been seen as
a promising paradigm for dealing with the massive amounts of data generated by intelligent …

3D UAV trajectory and data collection optimisation via deep reinforcement learning

KK Nguyen, TQ Duong, T Do-Duy… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are now beginning to be deployed for enhancing the
network performance and coverage in wireless communication. However, due to the …

Fusion of federated learning and industrial Internet of Things: A survey

QV Pham, K Dev, PKR Maddikunta… - arXiv preprint arXiv …, 2021 - arxiv.org
Industrial Internet of Things (IIoT) lays a new paradigm for the concept of Industry 4.0 and
paves an insight for new industrial era. Nowadays smart machines and smart factories use …