A review on TinyML: State-of-the-art and prospects

Author:

Ray Partha Pratim

Publisher

Elsevier BV

Subject

General Computer Science

Reference136 articles.

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3. Alongi, F., Ghielmetti, N., Pau, D., Terraneo, F. and Fornaciari, W., 2020, September. Tiny Neural Networks for Environmental Predictions: an integrated approach with Miosix. In 2020 IEEE International Conference on Smart Computing (SMARTCOMP) (pp. 350-355). IEEE.

4. Alwarafy, A., Al-Thelaya, K. A., Abdallah, M., Schneider, J., Hamdi, M., 2021, “A Survey on Security and Privacy Issues in Edge-Computing-Assisted Internet of Things,” in: IEEE Internet of Things Journal, vol. 8, no. 6, pp. 4004-4022, doi: 10.1109/JIOT.2020.3015432.

5. Amber: A Complete, ML-Based, Anomaly Detection Pipeline for Microcontrollers, https://cms.tinyml.org/wp-content/uploads/talks2020/tinyML_Talks_Brian_Turnquist_and_Rodney_Dockter_201124.pdf, Accessed on November, 2021.

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