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Fog-supported Low-latency Monitoring of System Disruptions in Industry 4.0: A Federated Learning Approach

https://doi.org/10.1145/3477272
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/spe.2509openalex-snapshot
iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments
inferredcites →https://doi.org/10.1007/978-3-642-16917-5_18openalex-snapshot
An Agent-Based Approach to Care in Independent Living
inferredcites →https://doi.org/10.1016/0305-0548(93)e0023-mopenalex-snapshot
Genetic algorithms and tabu search: Hybrids for optimization
inferredcites →https://doi.org/10.1016/0377-2217(77)90029-7openalex-snapshot
Machine scheduling problems: Classification, complexity and computations
inferredcites →https://doi.org/10.1016/j.cherd.2015.06.019openalex-snapshot
A method for pattern mining in multiple alarm flood sequences
inferredcites →https://doi.org/10.1016/j.ijpe.2012.04.015openalex-snapshot
Robust scheduling for multi-objective flexible job-shop problems with random machine breakdowns
inferredcites →https://doi.org/10.1016/j.procs.2019.04.089openalex-snapshot
Towards Predicting System Disruption in Industry 4.0: Machine Learning-Based Approach
inferredcites →https://doi.org/10.1016/j.techfore.2017.09.034openalex-snapshot
A disruption framework
inferredcites →https://doi.org/10.1080/00207543.2018.1468095openalex-snapshot
Solving multi-objective rescheduling problems in dynamic permutation flow shop environments with disruptions
inferredcites →https://doi.org/10.1109/21.97458openalex-snapshot
A survey of decision tree classifier methodology
inferredcites →https://doi.org/10.1109/access.2017.2783682openalex-snapshot
Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges
inferredcites →https://doi.org/10.1109/access.2020.2981430openalex-snapshot
Federated Learning for UAVs-Enabled Wireless Networks: Use Cases, Challenges, and Open Problems
inferredcites →https://doi.org/10.1109/codit.2019.8820445openalex-snapshot
Accuracy and Localization-Aware Rescheduling for Flexible Flow Shops in Industry 4.0
inferredcites →https://doi.org/10.1109/comst.2015.2444095openalex-snapshot
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
inferredcites →https://doi.org/10.1109/dexa.1999.795279openalex-snapshot
Logistic regression modeling for context-based classification
inferredcites →https://doi.org/10.1109/ecmsm.2017.7945879openalex-snapshot
Fog computing based efficient IoT scheme for the Industry 4.0
inferredcites →https://doi.org/10.1109/icaaid.2019.8934949openalex-snapshot
Deployment of Fog Computing Platform for Cyber Physical Production System Based on Docker Technology
inferredcites →https://doi.org/10.1109/icpr.2006.748openalex-snapshot
Learning an Optimal Naive Bayes Classifier
inferredcites →https://doi.org/10.1109/icssit46314.2019.8987837openalex-snapshot
A Review of Deep Learning with Recurrent Neural Network
inferredcites →https://doi.org/10.1109/indin.2016.7819371openalex-snapshot
Proactive and dynamic event-driven disruption management in the manufacturing domain
inferredcites →https://doi.org/10.1109/mis.2017.49openalex-snapshot
Manufacturing Analytics and Industrial Internet of Things
inferredcites →https://doi.org/10.1109/srii.2012.42openalex-snapshot
Predictive Monitoring of Heterogeneous Service-Oriented Business Networks: The Transport and Logistics Case
inferredcites →https://doi.org/10.1109/tcyb.2018.2817240openalex-snapshot
Flexible Job-Shop Rescheduling for New Job Insertion by Using Discrete Jaya Algorithm
inferredcites →https://doi.org/10.1109/tii.2018.2827920openalex-snapshot
Cost-Efficient Deployment of Fog Computing Systems at Logistics Centers in Industry 4.0
inferredcites →https://doi.org/10.1109/tii.2018.2852491openalex-snapshot
Industrial Internet of Things: Challenges, Opportunities, and Directions
inferredcites →https://doi.org/10.1109/tii.2018.2855198openalex-snapshot
Deploying Fog Computing in Industrial Internet of Things and Industry 4.0
inferredcites →https://doi.org/10.1109/wimob.2010.5645033openalex-snapshot
A Tabu Search DSA algorithm for reward maximization in cellular networks
inferredcites →https://doi.org/10.1145/2002259.2002279openalex-snapshot
Towards proactive event-driven computing
inferredcites →https://doi.org/10.1145/2488222.2488274openalex-snapshot
Proactive event processing in action
inferredcites →https://doi.org/10.1145/3416010.3423246openalex-snapshot
AutoMEC
inferredcites →https://doi.org/10.1287/opre.42.6.1025openalex-snapshot
The Total Tardiness Problem: Review and Extensions
inferredcites →https://doi.org/10.5267/j.ijiec.2015.8.004openalex-snapshot
Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-981-99-6550-2_43openalex-snapshot
Probability-Based Load-Distribution Framework: To Reduce Latency in Fog Computing
inferred← citeshttps://doi.org/10.1007/s10489-024-06161-yopenalex-snapshot
Fault diagnosis using deep neural networks for industrial alarm sequence clustering
inferred← citeshttps://doi.org/10.1007/s10586-024-05074-2openalex-snapshot
Elevating manufacturing excellence with multilevel optimization in smart factory cloud computing using hybrid model
inferred← citeshttps://doi.org/10.1016/j.cirp.2024.04.102openalex-snapshot
Artificial intelligence in metal forming
inferred← citeshttps://doi.org/10.1016/j.comnet.2022.109048openalex-snapshot
Fusion of Federated Learning and Industrial Internet of Things: A survey
inferred← citeshttps://doi.org/10.1016/j.csi.2025.104091openalex-snapshot
Enhancing decision-making in Industry 5.0 through adaptive human–machine interfaces: A systematic literature review
inferred← citeshttps://doi.org/10.1016/j.ifacol.2022.09.649openalex-snapshot
Modeling and simulation of human behavior impact on production throughput
inferred← citeshttps://doi.org/10.1016/j.ifacol.2025.11.859openalex-snapshot
Integration of Asset Administration Shells and Federated Learning into Software-defined Mobile Assets
inferred← citeshttps://doi.org/10.1016/j.ijpe.2024.109311openalex-snapshot
Incorporating uncertain human behavior in production scheduling for enhanced productivity in Industry 5.0 context
inferred← citeshttps://doi.org/10.1016/j.ins.2026.124238openalex-snapshot
Security-as-a-Function for Edge–Fog–Cloud multimedia systems: A zero-trust IoMulT surveillance framework
inferred← citeshttps://doi.org/10.1016/j.jnca.2025.104375openalex-snapshot
Edge-AI: A systematic review on architectures, applications, and challenges
inferred← citeshttps://doi.org/10.1016/j.suscom.2025.101087openalex-snapshot
Federated learning at the edge in Industrial Internet of Things: A review
inferred← citeshttps://doi.org/10.1109/afros62115.2024.11036930openalex-snapshot
Human-Centered Production Scheduling in a Flexible and Robotic Manufacturing Workshop
inferred← citeshttps://doi.org/10.1109/comst.2024.3510543openalex-snapshot
Explainable AI in 6G O-RAN: A Tutorial and Survey on Architecture, Use Cases, Challenges, and Future Research
inferred← citeshttps://doi.org/10.1109/dasa59624.2023.10286796openalex-snapshot
Distributed Dynamics Scheduling Based Reinforcement Learning: Importance and Challenges
inferred← citeshttps://doi.org/10.1109/dasa63652.2024.10836381openalex-snapshot
Unveiling Privacy's Influence on Social Media Customer Behavior: A Machine Learning Approach
inferred← citeshttps://doi.org/10.1109/iwcmc55113.2022.9825393openalex-snapshot
Federated Deep Learning-Based Framework to Avoid Collisions Between Inland Ships
inferred← citeshttps://doi.org/10.1109/tce.2023.3332454openalex-snapshot
Sustainable Fog-Assisted Intelligent Monitoring Framework for Consumer Electronics in Industry 5.0 Applications
inferred← citeshttps://doi.org/10.1109/tgcn.2022.3159034openalex-snapshot
GSS-VF: A Game-Theoretic Approach for Service Discovery in Fog Network of Vehicles
inferred← citeshttps://doi.org/10.1109/thms.2025.3562438openalex-snapshot
Infrastructure-Free Indoor Localization for Cultural Heritage Sites
inferred← citeshttps://doi.org/10.1109/tifs.2024.3402993openalex-snapshot
Split Aggregation: Lightweight Privacy-Preserving Federated Learning Resistant to Byzantine Attacks
inferred← citeshttps://doi.org/10.1109/tii.2022.3170347openalex-snapshot
When Federated Learning Meets Game Theory: A Cooperative Framework to Secure IIoT Applications on Edge Computing
inferred← citeshttps://doi.org/10.1109/tnse.2022.3211192openalex-snapshot
When Collaborative Federated Learning Meets Blockchain to Preserve Privacy in Healthcare
inferred← citeshttps://doi.org/10.1145/3637868openalex-snapshot
Federated Learning for Mobility Applications
inferred← citeshttps://doi.org/10.1145/3812537openalex-snapshot
Auction-Driven Utility Maximization for Multiple Federated Learning in Smart Healthcare
inferred← citeshttps://doi.org/10.3390/ai6020030openalex-snapshot
Resource-Efficient Clustered Federated Learning Framework for Industry 4.0 Edge Devices
inferred← citeshttps://doi.org/10.3390/app14125245openalex-snapshot
Evaluating the Impact of Mobility on Differentially Private Federated Learning
inferred← citeshttps://doi.org/10.3390/electronics11142119openalex-snapshot
Multi-Constrained and Edge-Enabled Selection of UAV Participants in Federated Learning Process
inferred← citeshttps://doi.org/10.3390/machines11010012openalex-snapshot
Remote Monitoring and Maintenance for Equipment and Production Lines on Industrial Internet: A Literature Review
inferred← citeshttps://doi.org/10.3390/machines13111063openalex-snapshot
Federated Learning-Enabled Secure Multi-Modal Anomaly Detection for Wire Arc Additive Manufacturing
inferred← citeshttps://doi.org/10.4018/jcit.371753openalex-snapshot
Efficient Task Offloading and Resource Allocation in MEC
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