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Training machine learning models with IBM Federated Learning

With Federated Learning you can train a single machine learning model collaboratively and securely using data from multiple remote parties. All without the need to share or centralize the training data.
Learn how to use Federated Learning on IBM Cloud Pak for Data to train a machine learning model. In this tutorial we will:

  1. Use Watson Studio to create a Remote Training System and start the Federated Learning aggregator.
  2. Download the python scripts used to connect the remote training parties.
  3. Install the Watson Machine Learning python client.
  4. Use a local dataset on each of the remote training parties to start the Federated Learning training job.
  5. Monitor the progress and accuracy of the Federated Learning model.
  6. Deploy the trained model.

Find step-to-step instructions for this session here.