MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202611002039 A) filed by Chandigarh University, Mohali, Punjab, on Jan. 8, for 'context-aware federated learning system for continuous, privacy-preserving iot adaptation.'
Inventor(s) include Shubneet; Anushka Raj Yadav; Paras Mahajan; and Navjot Singh Talwandi.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a context-aware federated learning system for continuous, privacy-preserving IoT adaptation designed to enable distributed IoT devices to autonomously conduct real-time, context-driven learning while ensuring data privacy and seamless adaptability across varied environments. The system is equipped with embedded sensors, a context extraction unit, and a lifelong learning engine that incrementally refines models based on local data and operational conditions such as environment, location, and usage mode. Instead of transmitting raw data or gradients, devices generate and share non-invertible, privacy-preserving knowledge abstractions with a federated aggregation layer. The aggregator synthesizes these inputs into a context-aware global model and disseminates only relevant updates back to devices for localized integration. To sustain performance in dynamic scenarios, the system incorporates autonomous domain shift detection and self-healing mechanisms."
Disclaimer: Curated by HT Syndication.
