A survey on location and motion tracking technologies, methodologies and applications in precision sports
Sports involve commonly players and equipment of high dynamics. Their location and
motion data are essential for sports digitalization-related applications, such as from …
motion data are essential for sports digitalization-related applications, such as from …
[HTML][HTML] Advancing IoT security: A systematic review of machine learning approaches for the detection of IoT botnets
Abstract The Internet of Things (IoT) has transformed many aspects of modern life, from
healthcare and transportation to home automation and industrial control systems. However …
healthcare and transportation to home automation and industrial control systems. However …
Blockchain and digital twin empowered trustworthy self-healing for edge-AI enabled industrial Internet of things
X Feng, J Wu, Y Wu, J Li, W Yang - Information Sciences, 2023 - Elsevier
The public has regarded Edge-AI enabled Industrial Internet of Things (IIoT) as the crucial
foundation in the intelligent digital factories in Industry 4.0. It can fully catch the massive …
foundation in the intelligent digital factories in Industry 4.0. It can fully catch the massive …
f-FNC: Privacy concerned efficient federated approach for fake news classification
Fake news and manipulated information affect the social, economic and emotional growth of
the world's population. For the identification of fake news, several classification systems are …
the world's population. For the identification of fake news, several classification systems are …
[HTML][HTML] Differential privacy in edge computing-based smart city Applications: Security issues, solutions and future directions
Fast-growing smart city applications, such as smart delivery, smart community, and smart
health, are generating big data that are widely distributed on the internet. IoT (Internet of …
health, are generating big data that are widely distributed on the internet. IoT (Internet of …
A tutorial on federated learning from theory to practice: Foundations, software frameworks, exemplary use cases, and selected trends
MV Luzón, N Rodríguez-Barroso… - IEEE/CAA Journal of …, 2024 - ieeexplore.ieee.org
When data privacy is imposed as a necessity, Federated learning (FL) emerges as a
relevant artificial intelligence field for developing machine learning (ML) models in a …
relevant artificial intelligence field for developing machine learning (ML) models in a …
A secure and privacy preserved infrastructure for VANETs based on federated learning with local differential privacy
Advancements in Vehicular ad-hoc Network (VANET) technology have led to a growing
network of interconnected devices, including edge devices, resulting in substantial data …
network of interconnected devices, including edge devices, resulting in substantial data …
Towards quantum federated learning
Quantum Federated Learning (QFL) is an emerging interdisciplinary field that merges the
principles of Quantum Computing (QC) and Federated Learning (FL), with the goal of …
principles of Quantum Computing (QC) and Federated Learning (FL), with the goal of …
Federated learning for green and sustainable 6G IIoT applications
The 6th generation mobile network (6G) is expected to be launched in the early 2030s. The
architecture of 6G will be the convergence of space, air, ground, and undersea networks …
architecture of 6G will be the convergence of space, air, ground, and undersea networks …
Privacy and Security Concerns in Generative AI: A Comprehensive Survey
Generative Artificial Intelligence (GAI) has sparked a transformative wave across various
domains, including machine learning, healthcare, business, and entertainment, owing to its …
domains, including machine learning, healthcare, business, and entertainment, owing to its …