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Federated and Collaborative Learning - Session 1

Offered By: Simons Institute via YouTube

Tags

Federated Learning Courses Data Science Courses Machine Learning Courses Privacy Courses Uncertainty Quantification Courses Foundation Models Courses

Course Description

Overview

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Explore a series of talks on federated and collaborative learning from leading experts in the field. Dive into Giulia Fanti's discussion on data valuation and trade secret privacy, followed by Kate Donahue's insights. Discover Sai Praneeth Karimireddy's presentation on uncertainty quantification and data markets. Conclude with Zachary Charles' examination of the challenges and opportunities in scaling federated learning to foundation models. Gain valuable knowledge from researchers at Carnegie Mellon University, Cornell, UC Berkeley, and Google in this 48-minute session from the Simons Institute.

Syllabus

Session #1


Taught by

Simons Institute

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