MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641025530 A) filed by Cvr College Of Engineering, Hyderabad, Telangana, on March 4, for 'anomaly detection framework for smart iot networks using lightweight ml models.'
Inventor(s) include Soujanya Saraswathi; and Chandrika Saxena.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "This invention describes a unique anomaly detection framework designed for smart IoT networks that makes use of lightweight machine learning models that are optimized for edge deployment. The suggested architecture enables real-time, low-latency inference on resource-limited edge devices. It incorporates decentralized learning and federated model updates to improve data privacy and scalability in distributed situations. The framework detects anomalies like as invasions, device malfunctions, and sensor tampering while keeping communication overhead to a minimum. To reduce computational complexity, techniques including model quantization, pruning, and knowledge distillation are used. The framework is appropriate for dynamic IoT ecosystems in industrial, healthcare, and smart city applications, as evidenced by its high accuracy and energy efficiency during experimental validation."
Disclaimer: Curated by HT Syndication.
