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cs.CR2026
Differentially Private EEG Feature Anonymization: A Privacy-Utility Case Study in Clinical Neurophysiology
Noman Sadiq, Mohsen Toorani
Clinical electroencephalography (EEG) data are valuable for healthcare research and for developing artificial intelligence (AI)-based clinical decision-support systems, but EEG rec…
cs.CR2026
Secure Aggregation for Privacy-Preserving Federated Learning on Clinical EEG Data
Pouya Rajabi, Mohsen Toorani
Federated learning enables multiple institutions to collaboratively train a shared model without exchanging their raw data. However, individual model updates are data-dependent and…