NeuroCrypt: A Privacy-Preserving Federated Learning Framework for Secure Brain–Computer Interface Data Sharing

NeuroCrypt is a privacy-preserving federated learning framework for EEG-based Brain-Computer Interfaces. It combines on-device training, continuous Zero-Trust client authentication, and a lightweight tamper-evident audit ledger, enabling collaborative learning without sharing raw EEG data.