Explore an open-source federated learning framework called Flower in this 15-minute conference talk presented by Xinchi Qiu, a postgraduate student from the University of Cambridge, at SOOCon23 Open Data. Gain insights into the capabilities and applications of this innovative framework designed to facilitate collaborative machine learning across distributed datasets while preserving data privacy and security.
Overview
Syllabus
Flower - An Opensource Federated Learning Framework | Xinchi Qiu | SOOCon23 Open Data
Taught by
OpenUK
Related Courses
-
Introduction to Federated Learning with Flower - A Hands-on Tutorial
-
Secure and Private AI
-
Federated Learning and Privacy-preserving RAGs
-
Federated Learning Tutorial: Concepts, Applications, Challenges, and Framework
-
Fundamentals of Privacy-Preserving Federated Learning
-
Advanced Deployment Scenarios with TensorFlow
