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Explore federated learning through this 20-minute conference talk by Red Hat Inc. experts Huamin Chen and Ricardo Noriega De Soto. Gain insights into the differences between centralized and federated learning approaches, and understand the architecture of federated learning systems. Discover the role of Microshift in the deployment workflow, and witness a practical demonstration of the concepts discussed. Learn how federated learning can revolutionize machine learning practices while addressing privacy concerns and data distribution challenges.
Syllabus
Introduction
Federated Learning
Centralized vs Federated
Federated Learning Architecture
Microshift
Deployment Workflow
Demo
Outro
Taught by
Linux Foundation