This 1-hour-long tutorial will provide an in-depth introduction to FL, covering its key principles, architectures, and the advantages it offers in preserving privacy while enabling robust machine learning. We will explore practical applications in various domains, highlight key challenges such as communication efficiency and security, and discuss recent advances in federated optimization and aggregation techniques.
This panel is part of the Machine Learning from Challenging Data 2025 conference.

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Event Details

FORMAT: Tutorial followed by audience Q&A.
MENU: Coffee, decaf, and tea will be available outside the presentation room.
SETUP: Classroom and theater style seating.