Federated privacy-preserving facial paralysis severity classification using hybrid deep learning and pufferfish optimization
Abstract Facial paralysis (FP) severity assessment requires accurate identification of subtle facial asymmetry while maintaining the confidentiality of sensitive patient information. Conventional centralized deep learning approaches require patient images to be transferred to a central repository, which can increase pr...