Overview
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Explore the benefits and implementation of distributed machine learning approaches, particularly federated learning (FL) techniques, in this 30-minute conference talk by Myungjin Lee from Cisco Research. Gain insights into the importance of machine learning topology in determining the effectiveness of FL applications across distributed infrastructures. Learn about Flame, a new open-source system designed to provide flexibility in topology configuration and easy extensibility for supporting new FL architectures. Discover how Flame reduces development effort while allowing for specialized application deployment. Understand the system's ability to support various topologies and mechanisms, and its potential to facilitate the development of new FL methodologies. Access the open-source project on GitHub to further explore Flame's capabilities in adopting emerging federated learning technologies.
Syllabus
How to Adopt Emerging Federated Learning Technologies - Myungjin Lee, Cisco Research
Taught by
Linux Foundation