Federated AI for Pediatric Healthcare: Secure Cloud IoT with DC–DC Converters, SDN, and Data Mining
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Abstract
The integration of Federated Artificial Intelligence (AI) with cloud-based Internet of Things (IoT) systems offers a transformative approach to pediatric healthcare supply chains. This study proposes a secure and privacy-preserving framework that leverages DC–DC converter-enabled IoT devices and Software-Defined Networking (SDN) for efficient data communication and energy optimization. By incorporating data mining techniques, the framework enables predictive analytics for resource allocation, patient monitoring, and operational decision-making while maintaining strict compliance with healthcare data privacy regulations. Experimental evaluations demonstrate improved system performance, reduced latency, and enhanced security, highlighting the potential of Federated AI to optimize pediatric healthcare operations in real-world cloud environments.
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