ISCA: Intelligent Sense-Compute Adaptive Co-Optimization of Multimodal Machine Learning Kernels for Resilient mHealth Services on Wearables
: Alikhani, Hamidreza; Kanduri, Anil; Naeini, Emad Kasaeyan; Shahhosseini, Sina; Liljeberg, Pasi; Rahmani, Amir M.; Dutt, Nikil
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
: PISCATAWAY
: 2025
: IEEE Design and Test
: IEEE Design & Test
: IEEE DES TEST
: 42
: 2
: 25
: 34
: 10
: 2168-2356
: 2168-2364
DOI: https://doi.org/10.1109/MDAT.2024.3469828(external)
: https://doi.org/10.1109/mdat.2024.3469828(external)
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
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Nokia Foundation and Kaute Saatio, Finland
