MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202641105464 A) filed by Saveetha Institute Of Medical And Technical Sciences on September 02, 2026, for Secure Federated Data Mining Method Using Blockchain Backed Federated Parameter Exchange And Multi-Level Privacy Controls.
Inventors include Thanupriya N; Dr. V. Sheeja Kumari; and Dr Ramya Mohan.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: The invention discloses a secure federated data mining method that integrates blockchain-backed parameter exchange with multi-level privacy controls to protect distributed datasets during collaborative learning. Client nodes locally_compute model updates, apply adaptive privacy mechanisms, and transmit encrypted gradients through a blockchain-anchored communication layer that ensures tamper resistance, traceability, and verifiable integrity. A federated aggregation engine performs secure computations on protected parameters and generates a global model without exposing raw data. This approach enhances confidentiality, prevents parameter manipulation, and ensures trustworthy cross-organization collaborative data mining.
Disclaimer: Curated by HT Syndication.
