Cover Image

Federated Learning for Efficient Condition Monitoring and Anomaly Detection in Industrial Cyber-Physical Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Marfo, William, Tosh, Deepak K., Moore, Shirley V.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adaptive Client Selection in Federated Learning: A Network Anomaly Detection Use Case
by: Marfo, William, et al.
Published: (2025)

Efficient Client Selection in Federated Learning
by: Marfo, William, et al.
Published: (2025)

Reducing Communication Overhead in Federated Learning for Network Anomaly Detection with Adaptive Client Selection
by: Marfo, William, et al.
Published: (2025)

Detecting Masquerade Attacks in Controller Area Networks Using Graph Machine Learning
by: Marfo, William, et al.
Published: (2024)

Digital Twin-Driven Communication-Efficient Federated Anomaly Detection for Industrial IoT
by: Belay, Mohammed Ayalew, et al.
Published: (2026)

Hybrid Temporal Differential Consistency Autoencoder for Efficient and Sustainable Anomaly Detection in Cyber-Physical Systems
by: Somma, Michael
Published: (2025)

Online Decentralized Federated Multi-task Learning With Trustworthiness in Cyber-Physical Systems
by: Odeyomi, Olusola, et al.
Published: (2025)

A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection
by: Wu, Yuandi, et al.
Published: (2024)

Generative Adversarial Evasion and Out-of-Distribution Detection for UAV Cyber-Attacks
by: Panda, Deepak Kumar, et al.
Published: (2025)

An Efficient Unsupervised Federated Learning Approach for Anomaly Detection in Heterogeneous IoT Networks
by: Tajgardan, Mohsen, et al.
Published: (2026)

Cyber-Physical Anomaly Detection in IoT-Enabled Smart Grids Using Machine Learning and Metaheuristic Feature Optimization
by: Alihodžić, Adis, et al.
Published: (2026)

Network Anomaly Detection in Distributed Edge Computing Infrastructure
by: Marfo, William, et al.
Published: (2025)

Hierarchical Testing with Rabbit Optimization for Industrial Cyber-Physical Systems
by: Hu, Jinwei, et al.
Published: (2025)

Anomaly Detection in Electric Vehicle Charging Stations Using Federated Learning
by: C, Bishal K, et al.
Published: (2025)

Towards Transparent and Efficient Anomaly Detection in Industrial Processes through ExIFFI
by: Frizzo, Davide, et al.
Published: (2024)

Flowcean - Model Learning for Cyber-Physical Systems
by: Schmidt, Maximilian, et al.
Published: (2026)

Product-Aware Deep Autoencoders for Robust Process Monitoring in Multi-Product Cyber-Physical Systems
by: Islam, MD Shafikul, et al.
Published: (2026)

Federated Learning for Cyber Physical Systems: A Comprehensive Survey
by: Quan, Minh K., et al.
Published: (2025)

CyberCScope: Mining Skewed Tensor Streams and Online Anomaly Detection in Cybersecurity Systems
by: Nakamura, Kota, et al.
Published: (2025)

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection
by: Ren, Jing, et al.
Published: (2025)

A Hybrid Intelligent Framework for Uncertainty-Aware Condition Monitoring of Industrial Systems
by: Ahang, Maryam, et al.
Published: (2026)

Continual Reinforcement Learning for Cyber-Physical Systems: Lessons Learned and Open Challenges
by: Nolle, Kim N., et al.
Published: (2025)

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)

Backdoor Attacks on Fault Detection and Localization in Cyber-Physical Systems
by: Jean, Abile, et al.
Published: (2026)

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM
by: Jin, Yihong, et al.
Published: (2025)

Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series
by: Chen, Kuan-Cheng, et al.
Published: (2025)

PhaseNet++: Phase-Aware Frequency-Domain Anomaly Detection for Industrial Control Systems via Phase Coherence Graphs
by: Bommireddy, Raviteja, et al.
Published: (2026)

Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems
by: Windmann, Alexander, et al.
Published: (2025)

ASTRO: Adaptive Spatio-Temporal Reinforcement Optimization for GNN Powered Anomly Detection in Cyber Physical Systems
by: Yar, Rai Ali, et al.
Published: (2026)

Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)

Adaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring
by: Gil, Natalia Martinez, et al.
Published: (2026)

6G-Enabled Digital Twin Framework for Real-Time Cyber-Physical Systems: An Experimental Validation with Industrial Bearing Fault Detection
by: Chakma, Vaskar, et al.
Published: (2025)

Temporal-Conditioned Normalizing Flows for Multivariate Time Series Anomaly Detection
by: Baumgartner, David, et al.
Published: (2026)

Efficient Federated Conformal Prediction with Group-Conditional Guarantees
by: Wen, Haifeng, et al.
Published: (2026)

Segmentation over Complexity: Evaluating Ensemble and Hybrid Approaches for Anomaly Detection in Industrial Time Series
by: Mastriani, Emilio, et al.
Published: (2025)

Hard-Constrained Neural Networks with Physics-Embedded Architecture for Residual Dynamics Learning and Invariant Enforcement in Cyber-Physical Systems
by: Spotorno, Enzo Nicolás, et al.
Published: (2025)

Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection
by: Chen, Feiyi, et al.
Published: (2023)

Adversarial Augmentation and Active Sampling for Robust Cyber Anomaly Detection
by: Benabderrahmane, Sidahmed, et al.
Published: (2025)

Graph Evidential Learning for Anomaly Detection
by: Wei, Chunyu, et al.
Published: (2025)

PersonaDrift: A Benchmark for Temporal Anomaly Detection in Language-Based Dementia Monitoring
by: Lai, Joy, et al.
Published: (2025)