Controlling performance of deployed deep learning models on resource constrained edge device via predictive models

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United States of America

PATENT NO 12223419
APP PUB NO 20210064981A1
SERIAL NO

16550290

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Abstract

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An example system includes a processor to receive a data input and a predicted performance of a Deep Learning (DL) model deployed on a resource constrained edge device from a predictive model. The processor is to modify a control input for the DL model based on the data input and the predicted performance. The processor is to send the control input to the deployed DL model to modify performance of the DL model.

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Patent Owner(s)

  • INTERNATIONAL BUSINESS MACHINE CORPORATION

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Turgeman, Lior Moreshet, IL 5 18

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