Embedded Hardware-Efficient FPGA Architecture for SVM Learning and Inference

Edge computing allows to do AI processing on devices with limited resources, but the challenge remains high computational costs followed by the energy limitations of such devices making on-device machine learning inefficient, especially for Support Vector Machine (SVM) classifiers. Although SVM clas...

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Bibliographic Details
Main Authors: B. B. Shabarinath, Muralidhar Pullakandam
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10969767/
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