Federated Few-Shot Learning for Private Epileptic Seizure Detection

The research focuses on a crucial area: applying AI for medical diagnostics while respecting patient privacy. The application of federated learning in this context is promising, enabling collaborative model training without directly sharing sensitive patient data.

• •Applies federated learning to the challenging problem of epileptic seizure detection.
• •Addresses the critical need for privacy-preserving AI in medical applications.
• •Leverages few-shot learning, potentially requiring less data for model training.