Trustworthy AI at the air quality-health nexus: a systematic review of federated learning, distributed ledger technologies, and explainable AI
The Green-AI-Trust Stack is proposed, a layered architectural framework that integrates three complementary pillars (FL for privacy-preserving distributed learning, DLT for verifiable data and model provenance, and XAI for interpretable inference and decision support within a unified AQI-health pipeline).