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Microsoft

Federated Learning with Azure Machine Learning

Microsoft via YouTube

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Overview

Up This course introduces participants to Federated Learning with Azure Machine Learning. It addresses the problem of how to collaborate on training with data that cannot be shared due to privacy regulations or organizational policies. Federated Learning enables multiple parties to train on different data sets, while achieving a single, shared result and tracking central metrics. The course will demonstrate how to configure AzureML and NVFlare to solve this problem. Participants will see a practical demo with the Global Federated Learning Platform. At the end of the course, participants will have learned how to configure and use Federated Learning and be better educated on important considerations for secure sharing.

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

Start your review of Federated Learning with Azure Machine Learning

  • Profile image for Aditya Tiwari
    Aditya Tiwari
    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…
  • Abdussalam Elhanashi
    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
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