MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202611052621 A) filed by Atul Lal Shrivastava; Dr. Rajendra Kumar Dwivedi; Prof. Shiva Prakash; Garima Yadav; Pushpa Choudhary; and Aniruddh Kumar, Greater Noida, Uttar Pradesh, on April 24, for 'blockchain-enabled federated learning framework for secure, privacy-preserving agricultural iot systems.'
Inventor(s) include Atul Lal Shrivastava; Dr. Rajendra Kumar Dwivedi; Prof. Shiva Prakash; Garima Yadav; Pushpa Choudhary; and Aniruddh Kumar.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a blockchain-enabled federated learning framework for secure and privacy-preserving agricultural IoT systems, integrating internet of things (IoT), federated learning, and blockchain technology into a unified decentralized architecture. The system enables distributed IoT devices and edge nodes to collaboratively train machine learning models without sharing raw agricultural data, thereby preserving data confidentiality while ensuring efficient knowledge extraction. A blockchain network is utilized to record model updates as immutable transactions and to validate contributions through smart contracts and consensus mechanisms, eliminating the need for centralized coordination. The framework incorporates privacy-preserving techniques such as differential privacy and secure multi-party computation to safeguard sensitive information against inference attacks. By enabling transparent, secure, and scalable model aggregation, the invention enhances real-time decision-making capabilities in smart farming applications, including crop monitoring, yield prediction, and resource optimization, while ensuring trust, data integrity, and system resilience in distributed agricultural environments."
Disclaimer: Curated by HT Syndication.
