IEEE International Conference on Cloud Networking
7–10 November 2022 // Paris, France

Tutorials

Akram Baharlouei - IEEE CloudNet 2022
Tutorial I:
TinyML and Edge Computing

 

Akram Baharlouei
Meta AI (Facebook), USA

Abstract:

TinyML is a cutting-edge field that brings the  power of machine learning (ML) into the performance and power-constrained domain of mobile and edge devices. This enables the variety of use cases for “always-on ML” on these battery operated devices. In this tutorial we will give a quick overview of ML for audio, computer vision and sensor applications. Then we will see how to compress and optimize these big ML models in order to run on power/memory constrained microcontrollers. In the end we will demo some of these use cases on a  hardware kit. 

Biography:

Akram Baharlouei is currently with Meta (Facebook) working on applied research and large-scale machine learning models serving billions of users. She was previously at Qualcomm where she worked on Machine Learning for 5G and WiFi applications, tinyML, 5G modem, and Qualcomm next-generation WiFi chipsets. She received her Ph.D. in Electrical and Computer Engineering from George Mason University, VA, USA.


Charlie Kaufman - IEEE CloudNet 2022Radia Perlman - IEEE CloudNet 2022
Tutorial II:
Introduction to quantum computing and post-quantum algorithms

 

Radia Perlman and Charlie Kaufman
Dell Technologies, USA

 

 

Abstract:

TBA

Biography:

TBA