MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641042192 A) filed by Cvr College Of Engineering, Hyderabad, Telangana, on April 2, for 'federated deep learning system to privacy-preserving multi-modal health prediction and monitoring.'
Inventor(s) include Dr. Y. Divya; and Dr. D. Shyam Prasad.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "This invention reveals a federated deep learning system of privacy preserving multi-modal health prediction and monitoring. The system is based on wearables, smartphones, and IoT sensors to gather physiological and behavioral data such as heart rate, temperature, movement, the sleeping pattern, and voice features. Every device runs a deep learning model to compute local data, and sends encrypted updates of the model to a federated learning coordinator. The system combines various privacy-differentiating techniques such as the differential privacy, homomorphic encryption, and the secure multi-party computation. The invention can help to identify precisely the early signs of health anomaly when combining multi-modal sensor data with distributed learning algorithms in addition to maintaining privacy of the users and regulatory compliance."
Disclaimer: Curated by HT Syndication.
