Fog-supported low-latency monitoring of system disruptions in industry 4.0: A federated learning approach

B Brik, M Messaadia, M Sahnoun, B Bettayeb… - ACM Transactions on …, 2022 - dl.acm.org
Industry 4.0 is based on machine learning and advanced digital technologies, such as
Industrial-Internet-of-Things and Cyber-Physical-Production-Systems, to collect and process …

Sustainable fog-assisted intelligent monitoring framework for consumer electronics in industry 5.0 applications

SS Tripathy, S Bebortta… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The fifth era of the industry (Industry 5.0) has been marked by the reformation witnessed in
consumer electronics sector by bringing forth technology that could enhance efficiency …

Towards predicting system disruption in industry 4.0: Machine learning-based approach

B Brik, B Bettayeb, M Sahnoun, F Duval - Procedia computer science, 2019 - Elsevier
Industry 4.0 is the most recent industrial revolution that aims to improve not only the
productivity in the 21 st century, but also the flexibility, adaptability, and resilience of the …

Deep reinforcement learning based computation offloading in fog enabled industrial internet of things

Y Ren, Y Sun, M Peng - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
Fog computing is seen as a key enabler to meet the stringent requirements of industrial
Internet of Things (IIoT). Specifically, lower latency and IIoT devices' energy consumption …

Federated learning for performance behavior detection in a fog-IoT system

FMR Junior, CA Kamienski - Internet of Things, 2024 - Elsevier
In fog-based IoT systems, every fog can behave differently due to context and vulnerabilities.
In smart irrigation systems, some fog nodes use more or fewer computing resources to …

Fog computing: Complementing cloud computing to facilitate industry 4.0

C Matt - Business & information systems engineering, 2018 - Springer
By sharing IT resources over the Internet, cloud computing has led to substantial
transformations involving the centralization and translocation of software, platforms, and …

Predictive offloading in mobile-fog-cloud enabled cyber-manufacturing systems

X Chen, L Wang, C Wang, R Jin - 2018 IEEE Industrial Cyber …, 2018 - ieeexplore.ieee.org
An industrial cyber-physical system (ICPS) integrates the physical processes, systems and
networks with the computation resources to provide reliable and responsive computation …

Industrial IoT data scheduling based on hierarchical fog computing: A key for enabling smart factory

DA Chekired, L Khoukhi… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Industry 4.0 or industrial Internet of things (IIoT) has become one of the most talked-about
industrial business concepts in recent years. Thus, to efficiently integrate Internet of things …

Online computation performance analysis for distributed machine learning pipelines in fog manufacturing

L Wang, Y Zhang, X Chen, R Jin - 2020 IEEE 16th International …, 2020 - ieeexplore.ieee.org
Smart manufacturing enables real-time data streaming from interconnected manufacturing
processes to improve manufacturing quality, throughput, flexibility, and cost reduction via …

Fog-enabled architecture for data-driven cyber-manufacturing systems

D Wu, J Terpenny, L Zhang… - International …, 2016 - asmedigitalcollection.asme.org
Over the past few decades, both small-and medium-sized manufacturers as well as large
original equipment manufacturers (OEMs) have been faced with an increasing need for low …