Federated Spiking GANs with Rényi Differential Privacy for privacy-preserving synthetic EEG generation in brain–computer interfaces
Electroencephalography (EEG) data used in brain-computer and brain-machine interfaces (BCI/BMI) contain sensitive, user-specific information, creating privacy risks in consumer applications such as gaming, human augmentation, and virtual reality. Existing methods like encryption and anonymization either fail to protect...