The Internet of Medical Things (IoMT) has been quickly adopted in the intelligent healthcare industry, introducing more and more medical data to be analysed at the network edge, which requires medical information analytics to be secure, privacy-preserving, and low-latency. When deployed in the heterogeneous edge enviro...
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
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.