Building Data-Centric Applications with Federated Learning

Explore the concept of data-centric applications and federated learning in this informative talk from the Toronto Machine Learning Series. Gain insights from Roshni Malani, Engineering Leadership at Snorkel AI, and Priyal Aggarwal, Machine Learning Engineer at Snorkel AI, as they discuss how to unlock the true potential of machine learning through data collaboration. Discover how federated learning breaks down data silos by bringing model training to datasets, enabling more robust and effective machine learning models. Learn about the benefits and challenges of implementing this research concept in real-world applications through a hands-on approach. Understand the importance of data in machine learning and how traditional techniques relying on data centralization can be limiting. Delve into the practical aspects of moving federated learning from theory to product implementation in this 1 hour and 23 minute presentation.