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This course introduces federated learning as a privacy-preserving approach for collaboratively training machine-learning models across organizations without sharing their training data. It demonstrates a multi-client setup with Azure Machine Learning and NVIDIA FLARE, including local training and centralized metric tracking.
Syllabus
Welcome to the AI Show
Welcome Andreas and Harmke
What is Federated Learning with Azure Machine Learning
The problem - Extensive and Diverse Data that cannot be shared
The solution - Federated Learning enables multiple parties train collaboratively
Prepping the Global Federated Learning Demo
Demo
Training run with Azure ML and NVFlare
Centrally tracking metrics from local experiments
Learn more
Wrap
Taught by
Microsoft Developer
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Reviews
4.0 rating, based on 2 Class Central reviews
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The course was highly engaging and provided a wealth of valuable knowledge and concepts. Federated Learning with Azure Machine Learning course offered an immensely engaging and insightful journey into the innovative realm of decentralized machine le…
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It is very interesting course for beginners. I suggest including how to use the demo step by stem since there many students want to know how to use programming