tinyML Talks by Ranjitha Prasad from IIIT Delhi

Announcing tinyML Talks on September 14th, 2023

IMPORTANT: Please register here
https://us02web.zoom.us/webinar/register/5216939599201/WN_vmAH31fZRyCGNxXxi25RnQ

Once registered, you will receive a link and dial in information to teleconference by email, that you can also add to your calendar.

8:00 AM - 9:00 AM Pacific Daylight Time (PDT)
Ranjitha Prasad, Assistant Professor, IIIT Delhi
"Unsupervised Federated Learning"

Modern day applications such as autonomous vehicles, IoT, smart grids, etc., generate massive amounts of data at the edge. Federated Learning (FL) enables machine learning without having to transfer data from edge devices to any untrusted third party. A fundamental challenge in federated supervised learning is ensuring that data at the edge is annotated. This talk gives a general overview of federated learning with specific focus on federated learning techniques that utilise the unannotated data at the edge for learning a global model.

Dr. Ranjitha Prasad obtained her Ph.D. from Indian Institute of Science in 2015. Her experience is in the general areas of signal processing, Bayesian statistics, and more recently, machine learning and deep neural networks. She has been a postdoctoral researcher at Nanyang Technological University and National University of Singapore, Singapore, and a scientist at TCS Innovation Labs, Delhi. Her current research interests are Causal Inference, explainable AI and federated learning.

We encourage you to register earlier since on-line broadcast capacity may be limited.

Note: tinyML Talks slides and videos will be available on the tinyML website and tinyML YouTube Channel afterwards, for those who missed the live session. Please take a moment and subscribe to the YouTube channel today: https://www.youtube.com/tinyML?sub_confirmation=1

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