MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202641105520 A) filed by Saveetha Institute Of Medical And Technical Sciences on September 02, 2026, for Dynamic Data Privacy Preservation Mechanism For Federated Learning Based Predictive Analytics Using Hybrid Encryption Models.
Inventors include Thanupriya N; Dr. V. Sheeja Kumari; and Dr Ramya Mohan.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: This invention relates to a dynamic privacy-preserving mechanism designed for federated learning based predictive analytics. It introduces a hybrid encryption model combining homomorphic encryption, differential privacy, and secure key exchange protocols to protect sensitive data during distributed training. The mechanism ensures confidentiality, integrity, and robustness against inference attacks while enabling accurate collaborative model training across multiple clients without transferring raw data. The proposed system enhances privacy guarantees by adapting encryption strength based on data sensitivity, model update patterns, and communication risks. This dynamic approach supports scalable predictive analytics, particularly for healthcare, finance, smart cities, and industrial IoT applications requiring strict privacy compliance
Disclaimer: Curated by HT Syndication.
