This paper presents the Federated Edge Artificial Intelligence (FedEdgeMed-AI) framework for Privacy-Preserving Internet of Medical Things, which incorporates edge intelligence, Federated Model Aggregation, Adaptive Privacy-Preserving Optimization, and Resource Management for distributed healthcare applications.
H. R. Gantla, Tejaswini Mallavarapu, Harika B et al.· 2026 International Conferenc...· 0 citations
The widespread use of Large Language Models (LLMs) in AI-driven Internet of Medical Things (IoMT) ecosystems has introduced new challenges in areas such as data privacy, communication burden, computational efficiency and collaborative learning in a secure manner. To overcome these challenges, we introduce a novel Trust...
Harika B, Vishwesh Nagamalla, Kodipaka Rajeshwar Rao et al.· 2026 International Conferenc...· 0 citations
The findings indicate that implementing effective assistive vision systems on ultra-low-power embedded systems is achievable and can be used in practice as a portable solution for everyday use.
Harika B, T. Yerram, Manasa Katukuri et al.· Turkish Journal of Engineeri...· 0 citations
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