Reproducibility Metadata for A Federated LSTM-Autoencoder Framework with Differential Privacy for Secure Healthcare IoT Anomaly Detection

This record contains the reproducibility metadata and preprocessing pipeline details for the Federated LSTM-Autoencoder framework designed for Secure Healthcare IoT Anomaly Detection. Due to the unavailability of explicit redistribution rights for the original raw dataset, this document provides the essential dataset statistics, feature descriptions, train/test split configurations, and preprocessing steps to ensure research transparency and reproducibility as an alternative to the raw data distribution.