TinyML Concepts Tutorial

Course summary

Introduction to Embedded Machine Learning for engineering students as part of the NET 4529 module (M1) at Télécom SudParis.

As part of a tutorial in the module ‘Introduction to Reinforcement Learning in Networks,’ I had the opportunity to introduce students to the underlying concepts of Embedded Machine Learning, especially the specific constraints introduced by hardware or constrained networks.

My tutorial begins with a review of wireless networks and some essential concepts of Machine Learning.

It then surveys the tools and methods that can be implemented to run a Machine Learning algorithm.

Finally, I briefly present part of my research work on network traffic minimization.

The presentation concludes with a question-and-answer session that allows students to delve deeper into the concepts presented and put them into perspective with the project carried out as part of the module.

Slides (in French)

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