AI RESEARCH
HDC-X: Efficient Medical Data Classification for Embedded Devices
arXiv CS.LG
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ArXi:2509.14617v3 Announce Type: replace Energy-efficient medical data classification is essential for modern disease screening, particularly in home and field healthcare where embedded devices are prevalent. While deep learning models achieve state-of-the-art accuracy, their substantial energy consumption and reliance on GPUs limit deployment on such platforms. We present HDC-X, a lightweight classification framework designed for low-power devices.