A Framework for Partitioning Support Vector Machine Models on Edge Architectures

Mansi Sahi,Md Al Maruf,Akramul Azim,Nitin Auluck

2021 IEEE International Conference on Smart Computing (SMARTCOMP)（2021）

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Abstract

Current IoT applications generate huge volumes of complex data that requires agile analysis in order to obtain deep insights, often by applying Machine Learning (ML) techniques. Support vector machine (SVM) is one such ML technique that has been used in object detection, image classification, text categorization and Pattern Recognition. However, training even a simple SVM model on big data takes a...

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Key words

Training,Support vector machines,Performance evaluation,Adaptation models,Computational modeling,Image edge detection,Text categorization

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