Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges
In recent years, 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] 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 …
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] Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review
Recent developments in the Internet of Things (IoT) and various communication
technologies have reshaped numerous application areas. Nowadays, IoT is assimilated into …
technologies have reshaped numerous application areas. Nowadays, IoT is assimilated into …
[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 …
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 …
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 …
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 …
TruFLaaS: Trustworthy federated learning as a service
The increasing availability of data generated by Internet of Things (IoT) and Industrial IoT
(IIoT) devices, as well as privacy and law regulations, have significantly boosted the interest …
(IIoT) devices, as well as privacy and law regulations, have significantly boosted the interest …