Federated and Collaborative Learning - Session 1

Federated and Collaborative Learning - Session 1

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.