MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611025676 A) filed by Mahesh Kumar Sharma; Rashmi Vaishnav; Surya Saxena; Dr. Vimlesh Mishra; Dr. Vikas Rathi; Mr. Manoj Kumar; Mr. Bhupesh Kumar Gupta; and Dr. Rahul Kumar Pandey, Ghaziabad, Uttar Pradesh, on March 4, for 'a federated learning-based network system and method for cross-farm aquaculture intelligence with privacy preservation.'
Inventor(s) include Mahesh Kumar Sharma; Rashmi Vaishnav; Surya Saxena; Dr. Vimlesh Mishra; Dr. Vikas Rathi; Mr. Manoj Kumar; Mr. Bhupesh Kumar Gupta; and Dr. Rahul Kumar Pandey.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a federated learning-based network system and method for cross-farm aquaculture intelligence that enables collaborative training of machine learning models across multiple geographically distributed aquaculture farms while preserving data privacy and ownership. The system performs local model training at individual farm nodes using farm-specific environmental and operational data, wherein raw data remains confined within the farm premises. Encrypted model updates are securely transmitted to a federated aggregation server, which performs privacy-preserving aggregation to generate a global model without accessing raw data. The aggregated model is redistributed to participating farm nodes for local fine-tuning and continuous learning. The invention supports intelligent aquaculture applications including water quality prediction, disease outbreak detection, feed optimization, and yield estimation, while ensuring scalability, security, and regulatory compliance."
Disclaimer: Curated by HT Syndication.
