TinyML: A Systematic Review and Synthesis of Existing Research
Author:
Affiliation:
1. Fraunhofer Institute for Experimental Software Engineering IESE,Data Science Department,Kaiserslautern,Germany
Funder
European Research Consortium for Informatics and Mathematics
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9722611/9722613/09722636.pdf?arnumber=9722636
Reference54 articles.
1. Measuring what really matters: optimizing neural networks for tinyML;heim,2021
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3. A 0 . 57-GOPS / DSP object detection PIM accelerator on FPGA;jiao;Asia and South Pacific Design Automation Conference,2021
4. Mini-NAS: a neural architecture search framework for small scale image classification applications;siddiqui;TinyML Research Symposium,2021
5. Democratization of AI, Albeit Constrained IoT Devices & Tiny ML, for Creating a Sustainable Food Future
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