Pareto-based Evaluation of Lightweight AI Models on Embedded Devices

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Authors

Patricio Rojas-Carrasco · Universidad Central

Guinaldo Losada María · Universidad Nacional de Educación a Distancia

Abstract

Reproducible framework for evaluating lightweight AI models on low-cost embedded devices using Pareto-based multi-objective analysis. Includes implementations of MLR, MLP and CNN models evaluated on ESP32-S3 and Raspberry Pi platforms.

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Publication Details

Published in: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19002283

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Pareto-based Evaluation of Lightweight AI Models on Embedded Devices

Authors

Abstract

Topics & Keywords

Publication Details