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 …
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 …
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 …
the effectiveness of the maintenance of the productive park in the face of regulatory …
Federated Learning on Edge Sensing Devices: A Review
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 …
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
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 …
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 …
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 …
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
Federated Learning (FL) combined with the Industrial Internet of Things (IIoT) enhances
decision-making in industrial settings by leveraging decentralized machine learning (ML) to …
decision-making in industrial settings by leveraging decentralized machine learning (ML) to …