Adaptive model poisoning detection in federated learning for EV charging networks: a blockchain-anchored explainable AI approach

The rapid expansion of electric vehicle charging infrastructure necessitates collaborative machine learning approaches to detect cyber threats across distributed networks while preserving operator privacy. Federated learning enables decentralized threat intelligence sharing among charging station op