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A Federated Causal Gnn Approach for Fault Diagnosis of Metro Apu with Privacy Preservation

https://doi.org/10.2139/ssrn.5353434
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Knowledge-based Clustering Federated Learning for fault diagnosis in robotic assembly
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Explaining the black-box model: A survey of local interpretation methods for deep neural networks
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Causal Graph Attention Network with Disentangled Representations for Complex Systems Fault Detection
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Fault detection in complex mechatronic systems by a hierarchical graph convolution attention network based on causal paths
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Causality-based adversarial attacks for robust GNN modelling with application in fault detection
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Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis
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Evolvable graph neural network for system-level incremental fault diagnosis of train transmission systems
inferredcites →https://doi.org/10.1038/s41597-022-01877-3openalex-snapshot
The MetroPT dataset for predictive maintenance
inferredcites →https://doi.org/10.1109/access.2018.2830661openalex-snapshot
A Survey of Deep Learning: Platforms, Applications and Emerging Research Trends
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Data-Driven Approach for Predictive Maintenance of Metro System
inferredcites →https://doi.org/10.1109/tii.2019.2942179openalex-snapshot
Differentially Private Asynchronous Federated Learning for Mobile Edge Computing in Urban Informatics
inferredcites →https://doi.org/10.1109/tim.2023.3348910openalex-snapshot
SWDAE: A New Degradation State Evaluation Method for Metro Wheels With Interpretable Health Indicator Construction Based on Unsupervised Deep Learning
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Multisensor Graph Adaptive Federated Generalization for Helicopter Transmission System Fault Diagnosis
inferredcites →https://doi.org/10.1109/tkde.2021.3124599openalex-snapshot
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
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Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification
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An Efficient Federated Learning Framework for Machinery Fault Diagnosis With Improved Model Aggregation and Local Model Training
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Causal discovery algorithms: A practical guide
inferredcites →https://doi.org/10.1145/3219819.3220104openalex-snapshot
Generalized Score Functions for Causal Discovery
inferredcites →https://doi.org/10.1145/3675392openalex-snapshot
Toward Trustworthy Artificial Intelligence (TAI) in the Context of Explainability and Robustness
inferredcites →https://doi.org/10.1214/aos/1176344136openalex-snapshot
Estimating the Dimension of a Model
inferredcites →https://doi.org/10.3934/jdg.2021008openalex-snapshot
Causal discovery in machine learning: Theories and applications
inferredcites →https://doi.org/10.48550/arxiv.1611.01144openalex-snapshot
Categorical Reparameterization with Gumbel-Softmax
inferredcites →https://doi.org/10.48550/arxiv.1803.01422openalex-snapshot
DAGs with NO TEARS: Continuous Optimization for Structure Learning
inferredcites →https://doi.org/10.48550/arxiv.1812.02903openalex-snapshot
Applied Federated Learning: Improving Google Keyboard Query Suggestions
inferredcites →https://doi.org/10.48550/arxiv.2003.00653openalex-snapshot
Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies
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Formal Semantics for Kolmogorov-Arnold Network Representations of Operational Games
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