MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641051324 A) filed by Mr. Naveen Parameshwarappa, New York, on April 22, for 'secure and real-time decentralized predictive analytics powered by privacy-preserving federated learning for sensitive data processing.'
Inventor(s) include Mr. Naveen Parameshwarappa.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a secure and real-time decentralized predictive analytics system for processing sensitive data using privacy-preserving federated learning techniques. The system enables multiple distributed data nodes to collaboratively train machine learning models while ensuring that raw data remains localized, thereby preserving confidentiality. A federated aggregation framework combines encrypted model updates, while a privacy-preserving module employing differential privacy, secure multi-party computation, and homomorphic encryption prevents data leakage. A real-time processing engine facilitates continuous learning from streaming data to generate timely predictions. Additionally, a verification module ensures integrity by detecting malicious or anomalous updates. The system supports scalable deployment across edge, cloud, and hybrid environments, making it suitable for applications in healthcare, finance, and smart infrastructure while ensuring compliance with data protection regulations."
Disclaimer: Curated by HT Syndication.
