Federated Learning for Multivariate Time Series Anomaly Detection in Industrial Automation

In three linesPaper introduces a dataset for multivariate time series anomaly detection in federated learning. Addresses gaps in existing benchmarks by providing data with cyclic dynamics from discrete industrial automation processes, evaluated against selected MTSAD methods.

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