MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611064615 A) filed by Chandigarh University on May 22, 2026, for Federated Learning Framework For Privacy-Preserving Social Media Personalization And Misinformation Control.
Inventor includes Prabhat Kumar Ravi.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: This invention discloses a federated learning framework for social media platforms configured to provide privacy-preserving personalization and decentralized misinformation detection. In contrast, conventional centralized machine learning systems that store user data on remote servers, the proposed framework performs model training locally on user devices and transmits only encrypted, differential privacy protected gradients to a federated aggregation server. The framework incorporates Non-IID adaptive aggregation, block chain based authentication of model updates, secure aggregation protocols, and a hybrid global-personalized learning architecture to improve accuracy across heterogeneous user populations. The system enables real-time fake-news detection, sentiment analysis, content moderation, behavioural analytics, and personalized feed ranking without exposing raw user information. The invention further reduces communication overhead, enhances scalability, prevents malicious model manipulation, and improves transparency and trust in AI-driven social media operations. The framework provides a secure, scalable, and privacy-centric alternative for large-scale intelligent social networking platforms, ensuring decentralized and efficient federated AI model governance.
Disclaimer: Curated by HT Syndication.
