A survey of explainable artificial intelligence for smart cities
The emergence of Explainable Artificial Intelligence (XAI) has enhanced the lives of humans
and envisioned the concept of smart cities using informed actions, enhanced user …
and envisioned the concept of smart cities using informed actions, enhanced user …
[HTML][HTML] Internet of things for smart factories in industry 4.0, a review
Abstract The Internet of Things (IoT) is playing a significant role in the transformation of
traditional factories into smart factories in Industry 4.0 by using network of interconnected …
traditional factories into smart factories in Industry 4.0 by using network of interconnected …
Artificial intelligence for the metaverse: A survey
Along with the massive growth of the Internet from the 1990s until now, various innovative
technologies have been created to bring users breathtaking experiences with more virtual …
technologies have been created to bring users breathtaking experiences with more virtual …
Acs: Accuracy-based client selection mechanism for federated industrial iot
This study proposes secure federated learning (FL)-based architecture for the industrial
internet of things (IIoT) with a novel client selection mechanism to enhance the learning …
internet of things (IIoT) with a novel client selection mechanism to enhance the learning …
Federated learning for iout: Concepts, applications, challenges and opportunities
Internet of Underwater Things (IoUT) have gained rapid momentum over the past decade
with applications spanning from environmental monitoring and exploration, defence …
with applications spanning from environmental monitoring and exploration, defence …
Handling privacy-sensitive medical data with federated learning: challenges and future directions
Recent medical applications are largely dominated by the application of Machine Learning
(ML) models to assist expert decisions, leading to disruptive innovations in radiology …
(ML) models to assist expert decisions, leading to disruptive innovations in radiology …
Decentralized federated learning: Fundamentals, state-of-the-art, frameworks, trends, and challenges
In the last decade, Federated Learning (FL) has gained relevance in training collaborative
models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the …
models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the …
[HTML][HTML] An empirical assessment of ensemble methods and traditional machine learning techniques for web-based attack detection in industry 5.0
Cybersecurity attacks that target software have become profitable and popular targets for
cybercriminals who consciously take advantage of web-based vulnerabilities and execute …
cybercriminals who consciously take advantage of web-based vulnerabilities and execute …
Federated learning using game strategies: State-of-the-art and future trends
R Gupta, J Gupta - Computer Networks, 2023 - Elsevier
Federated learning (FL) is a new and promising paradigm that allows devices to learn
without sharing data with the centralized server. It is often built on decentralized data where …
without sharing data with the centralized server. It is often built on decentralized data where …
IoT Malware Analysis using Federated Learning: A Comprehensive Survey
M Venkatasubramanian, AH Lashkari, S Hakak - IEEE Access, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) has paved the way to a highly connected society where all things
are interconnected and exchanging information has become more accessible through the …
are interconnected and exchanging information has become more accessible through the …