Federated learning for predictive maintenance and anomaly detection using time series data distribution shifts in manufacturing processes

J Ahn, Y Lee, N Kim, C Park, J Jeong - Sensors, 2023 - mdpi.com
In the manufacturing process, equipment failure is directly related to productivity, so
predictive maintenance plays a very important role. Industrial parks are distributed, and data …

Federated learning: Challenges, SoTA, performance improvements and application domains

I Schoinas, A Triantafyllou, D Ioannidis… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Federated Learning has emerged as a revolutionary technology in Machine Learning (ML),
enabling collaborative training of models in a distributed environment while ensuring privacy …

[HTML][HTML] Challenges of the Biopharmaceutical Industry in the Application of Prescriptive Maintenance in the Industry 4.0 Context: A Comprehensive Literature Review

JN de Carvalho, FR da Silva… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
The biopharmaceutical industry has specificities related to the optimization of its processes,
the effectiveness of the maintenance of the productive park in the face of regulatory …

Federated Learning on Edge Sensing Devices: A Review

B Saylam, ÖD İncel - arXiv preprint arXiv:2311.01201, 2023 - arxiv.org
The ability to monitor ambient characteristics, interact with them, and derive information
about the surroundings has been made possible by the rapid proliferation of edge sensing …

[HTML][HTML] Dynamic Cohort Formation with Hierarchical Blockchain Using GDP for Enhanced FL

SF Ahmad, Z Abbas, MH Syed, A Anjum, S Rehman - Computers, 2024 - mdpi.com
Federated Learning (FL) can be defined as an effective solution for using the benefits of
machine learning (ML) in distributed systems, in which the data of the clients remain …

Federated Learning for Predictive Maintenance: A Survey of Methods, Applications, and Challenges

AA Purkayastha, S Aggarwal - 2024 IEEE 67th International …, 2024 - ieeexplore.ieee.org
Predictive maintenance plays a crucial role across diverse domains, ensuring operational
efficiency and reliability. However, the increasing need for securing predictive maintenance …

Federated Learning for Anomaly Detection in Maritime Movement Data

A Graser, A Weissenfeld, C Heistracher… - 2024 25th IEEE …, 2024 - ieeexplore.ieee.org
This paper introduces M 3 fed, a novel solution for federated learning of movement anomaly
detection models. This innovation has the potential to improve data privacy and reduce …

A Workflow Management System Approach To Federated Learning: Application to Industry 4.0

H Safri, G Papadimitriou, F Desprez… - … Computing in Smart …, 2024 - ieeexplore.ieee.org
Federated Learning (FL) combined with the Industrial Internet of Things (IIoT) enhances
decision-making in industrial settings by leveraging decentralized machine learning (ML) to …