This repository contains the Python implementation for 'Explainable Air Quality Management.' It features federated learning with adaptive model aggregation, quantum-optimized hyperparameter tuning, SHAP-based explainability, and anomaly detection using PrefixSpan. The system enhances AQI prediction and interpretability across IoT sensor nodes.
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This repository contains the Python implementation for 'Explainable Air Quality Management.' It features federated learning with adaptive model aggregation, quantum-optimized hyperparameter tuning, SHAP-based explainability, and anomaly detection using PrefixSpan. The system enhances AQI prediction and interpretability across IoT sensor nodes.
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SagharShafaati/AdaptiveFL-XGB-QuantumXAI
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This repository contains the Python implementation for 'Explainable Air Quality Management.' It features federated learning with adaptive model aggregation, quantum-optimized hyperparameter tuning, SHAP-based explainability, and anomaly detection using PrefixSpan. The system enhances AQI prediction and interpretability across IoT sensor nodes.
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