MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048747 A) filed by Mr. Rama Chandra Reddy Vangala, Medak, Telangana, on April 16, for 'a method and system for learning-augmented privacy-preserving analytics of temporal and dynamic graph data.'
Inventor(s) include Mr. Rama Chandra Reddy Vangala.
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: "A Method and System for Learning-Augmented Privacy-Preserving Analytics of Temporal and Dynamic Graph Data The present invention relates to a learning-augmented, privacy-preserving analytics engine for processing temporal and dynamic graph data. The system integrates artificial intelligence (AI) and machine learning (ML) models to estimate data distributions and optimize sorting, indexing, and query execution. An adaptive temporal indexing module organizes time-based data using range-duration structures, while a dynamic graph storage optimization module selects appropriate storage strategies based on query workloads. A feature clustering mechanism enables dimensionality reduction for efficient handling of high-dimensional datasets. A privacy-aware query processing module enforces data protection constraints during query execution through techniques such as anonymization, masking, and access control. The system supports parallel processing and scalable execution across distributed environments. Additionally, federated learning mechanisms enable continuous model improvement without exposing raw data. By integrating predictive analytics with adaptive data management and embedded privacy enforcement, the invention provides improved computational efficiency, scalability, and secure processing of heterogeneous analytical workloads."
Disclaimer: Curated by HT Syndication.
