Machine learning applications in internet-of-drones: Systematic review, recent deployments, and open issues

A Heidari, N Jafari Navimipour, M Unal… - ACM Computing …, 2023 - dl.acm.org
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …

Cybersecurity in the AI-Based metaverse: A survey

M Pooyandeh, KJ Han, I Sohn - Applied Sciences, 2022 - mdpi.com
The Metaverse is a multi-user virtual world that combines physical reality with digital virtual
reality. The three basic technologies for building the Metaverse are immersive technologies …

Federated deep learning for cyber security in the internet of things: Concepts, applications, and experimental analysis

MA Ferrag, O Friha, L Maglaras, H Janicke… - IEEE Access, 2021 - ieeexplore.ieee.org
In this article, we present a comprehensive study with an experimental analysis of federated
deep learning approaches for cyber security in the Internet of Things (IoT) applications …

Federated learning for 6G-enabled secure communication systems: a comprehensive survey

D Sirohi, N Kumar, PS Rana, S Tanwar, R Iqbal… - Artificial Intelligence …, 2023 - Springer
Abstract Machine learning (ML) and Deep learning (DL) models are popular in many areas,
from business, medicine, industries, healthcare, transportation, smart cities, and many more …

A comprehensive survey of digital twins and federated learning for industrial internet of things (IIoT), internet of vehicles (IoV) and internet of drones (IoD)

S Jamil, MU Rahman, Fawad - Applied System Innovation, 2022 - mdpi.com
As a result of the advancement in the fourth industrial revolution and communication
technology, the use of digital twins (DT) and federated learning (FL) in the industrial Internet …

Security threats and mitigation techniques in UAV communications: A comprehensive survey

GK Pandey, DS Gurjar, HH Nguyen, S Yadav - IEEE Access, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been instrumental in enabling many new
applications and services, including military and rescue operations, aerial surveillance …

Secure semantic communications: Fundamentals and challenges

Z Yang, M Chen, G Li, Y Yang, Z Zhang - IEEE Network, 2024 - ieeexplore.ieee.org
Semantic communication allows the receiver to know the intention instead of the bit
information itself, which is an emerging technique to support real-time human-machine and …

Energy-efficient resource allocation for federated learning in noma-enabled and relay-assisted internet of things networks

MS Al-Abiad, MZ Hassan… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Distributed machine learning (ML) algorithms are imperative for the next-generation Internet
of Things (IoT) networks, thanks to preserving the privacy of users' data and efficient usage …

Decentralized aggregation for energy-efficient federated learning via D2D communications

MS Al-Abiad, M Obeed, MJ Hossain… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Federated learning (FL) has emerged as a distributed machine learning (ML) technique to
train models without sharing users' private data. In this paper, we introduce a decentralized …

Energy-efficient federated learning with resource allocation for green IoT edge intelligence in B5G

A Salh, R Ngah, L Audah, KS Kim, Q Abdullah… - IEEE …, 2023 - ieeexplore.ieee.org
An edge intelligence-aided Internet-of-Things (IoT) network has been proposed to
accelerate the response of IoT services by deploying edge intelligence near IoT devices …