[HTML][HTML] Distributed and trustworthy digital twin platform based on blockchain and Web3 technologies
The fourth industrial revolution has significantly increased the adoption of Digital Twins
(DTs) across various sectors, including intelligent manufacturing, automation, logistics, and …
(DTs) across various sectors, including intelligent manufacturing, automation, logistics, and …
[HTML][HTML] Federated learning at the edge in Industrial Internet of Things: A review
The convergence of Federated learning (FL) and Edge computing (EC) has emerged as an
essential paradigm, particularly within the Industrial Internet of Things (IIoT) to enable the …
essential paradigm, particularly within the Industrial Internet of Things (IIoT) to enable the …
Federated Learning-Oriented Edge Computing Framework for the IIoT
X Liu, X Dong, N Jia, W Zhao - Sensors, 2024 - mdpi.com
With the maturity of artificial intelligence (AI) technology, applications of AI in edge
computing will greatly promote the development of industrial technology. However, the …
computing will greatly promote the development of industrial technology. However, the …
A multifaceted survey on federated learning: Fundamentals, paradigm shifts, practical issues, recent developments, partnerships, trade-offs, trustworthiness, and ways …
Federated learning (FL) is considered a de facto standard for privacy preservation in AI
environments because it does not require data to be aggregated in some central place to …
environments because it does not require data to be aggregated in some central place to …
Ensuring the federation correctness: Formal verification of Federated Learning in industrial cyber-physical systems
Abstract In industry 4.0, Industrial Cyber–Physical Systems (ICPS) integrate industrial
machines with computer control and data analysis. Federated Learning (FL) improves this …
machines with computer control and data analysis. Federated Learning (FL) improves this …
FIDWATCH: Federated incremental distillation for continuous monitoring of IoT security threats
The fast evolutions of Internet of Things (IoT) technologies have been accelerating their
applicability in different sectors of life and becoming a pillar for sustainable development …
applicability in different sectors of life and becoming a pillar for sustainable development …
mmSpyVR: Exploiting mmWave Radar for Penetrating Obstacles to Uncover Privacy Vulnerability of Virtual Reality
Virtual reality (VR), while enhancing user experiences, introduces significant privacy risks.
This paper reveals a novel vulnerability in VR systems that allows attackers to capture VR …
This paper reveals a novel vulnerability in VR systems that allows attackers to capture VR …
Advancements in securing federated learning with IDS: a comprehensive review of neural networks and feature engineering techniques for malicious client detection
Federated Learning (FL) is a technique that can learn a global machine-learning model at a
central server by aggregating locally trained models. This distributed machine-learning …
central server by aggregating locally trained models. This distributed machine-learning …
[HTML][HTML] A Blockchain-Assisted Federated Learning Framework for Secure and Self-Optimizing Digital Twins in Industrial IoT
Optimizing digital twins in the Industrial Internet of Things (IIoT) requires secure and
adaptable AI models. The IIoT enables digital twins, virtual replicas of physical assets, to …
adaptable AI models. The IIoT enables digital twins, virtual replicas of physical assets, to …
On the adoption and deployment of secure and privacy-preserving IIoT in smart manufacturing: a comprehensive guide with recent advances
The adoption of the Internet of Things (IoT) in smart manufacturing has recently seen a boost
in economic and technological advancement. This is attributed to improved operational …
in economic and technological advancement. This is attributed to improved operational …