MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641079745 A) filed by R. M. K. College Of Engineering And Technology on June 29, 2026, for Hawk Inspired Optimization For Enhanced Federated Learning.
Inventors include Dr. Indra G; Nellore Harshitha; and Moshika R.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention discloses a Hawk-Inspired Optimization (HIO)-based Federated Learning framework for predictive healthcare analytics using Internet of Medical Things (IoMT) datasets. The invention enables decentralized healthcare institutions and IoMT devices to collaboratively train machine learning models without exchanging raw patient data, thereby preserving privacy and regulatory compliance. A Hawk-Inspired Optimization algorithm enhances local model optimization and federated aggregation by improving convergence speed, communication efficiency, and prediction accuracy under heterogeneous non-IID data distributions. The optimized global model supports disease prediction, patient risk assessment, anomaly detection, remote health monitoring, and intelligent clinical decision-making. Secure communication protocols and encrypted model aggregation ensure confidentiality of healthcare information. The modular framework integrates seamlessly with wearable devices, hospital information systems, cloud platforms, and edge computing environments. The invention provides an intelligent, scalable, privacy-preserving, and computationally efficient solution for
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