ISCA: Intelligent Sense-Compute Adaptive Co-Optimization of Multimodal Machine Learning Kernels for Resilient mHealth Services on Wearables - UTU Research Portal

A1 Refereed original research article in a scientific journal

ISCA: Intelligent Sense-Compute Adaptive Co-Optimization of Multimodal Machine Learning Kernels for Resilient mHealth Services on Wearables

Authors: Alikhani, Hamidreza; Kanduri, Anil; Naeini, Emad Kasaeyan; Shahhosseini, Sina; Liljeberg, Pasi; Rahmani, Amir M.; Dutt, Nikil

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Publishing place: PISCATAWAY

Publication year: 2025

Journal: IEEE Design and Test

Journal name in source: IEEE Design & Test

Journal acronym: IEEE DES TEST

Volume: 42

Issue: 2

First page : 25

Last page: 34

Number of pages: 10

ISSN: 2168-2356

eISSN: 2168-2364

DOI: https://doi.org/10.1109/MDAT.2024.3469828

Web address : https://doi.org/10.1109/mdat.2024.3469828

Abstract

Editor’s notes: This article proposes a sensing and computing adaptive optimization of multimodal machine learning kernels. The framework employs reinforcement learning to jointly determine sensing and compute configuration settings, which minimizes energy consumption while providing accuracy guarantees. The solution achieves up to 23% improvement in prediction accuracy compared to prior methods. —Ganapati Bhat, Washington State University, USA —Pietro Mercati, Intel Labs, USA

Funding information in the publication:
Nokia Foundation and Kaute Saatio, Finland