MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202511132730 A) filed by Shikha Agarwal; Dr. Sanjeev Thakur; and Dr. Anchal Garg, Noida, Uttar Pradesh, on Dec. 28, 2025, for 'privacy-preserving federated learning framework for cyber resilience in distributed mobile edge networks.'
Inventor(s) include Shikha Agarwal; Dr. Sanjeev Thakur; and Dr. Anchal Garg.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a federated learning-based cyber resilience framework for distributed mobile edge networks, designed to enhance threat detection and response while preserving user privacy. The system enables edge devices to locally train machine learning models on sensitive data without sharing raw information, leveraging differential privacy and secure aggregation techniques to construct a robust global model. An adversarial mitigation module filters malicious or poisoned updates, ensuring model integrity. Additionally, a decentralized threat intelligence protocol allows devices to share abstracted indicators of compromise, enabling proactive defense across the network. The invention supports dynamic device participation, is scalable, and can be applied to a variety of edge computing environments, offering an intelligent, adaptive, and privacy-preserving cybersecurity solution."
Disclaimer: Curated by HT Syndication.
