AI – Federated Learning – Walter Rivera
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Questions and Answers

What is Federated Learning?

  • A way to train models on distributed data without sending the data itself or violating its privacy (correct)
  • A way to share and combine knowledge from multiple sources to create a unified understanding
  • A way to overcome the limitations of traditional learning methods by allowing participants to access the same information at the same time
  • A tool that can help you create a federated learning system
  • True or false: Federated Learning is a way to share information from multiple sources.

    True

    What technology does Intel SGX use to protect data and allow multiple parties to share an enclave?

  • Encryption
  • Firewalls
  • Trusted Execution Environments (correct)
  • Artificial Intelligence
  • True or false: Federated Learning is mainly used in the medical imaging industry.

    <p>False</p> Signup and view all the answers

    What is OpenFL?

    <p>A tool that can help you create a federated learning system</p> Signup and view all the answers

    What is the purpose of Intel's OpenFL tool?

    <p>To facilitate collaboration between research institutions</p> Signup and view all the answers

    What is the role of the aggregator in Federated Learning?

    <p>To combine the models from all the institutions</p> Signup and view all the answers

    True or false: Each collaborator trains a clone of the common model on its own data.

    <p>True</p> Signup and view all the answers

    What was the result of Intel's collaboration with NASA?

    <p>The training of a model to identify biomarkers of cancer without moving data</p> Signup and view all the answers

    What is the main advantage of Federated Learning?

    <p>It allows for data sharing without compromising its privacy</p> Signup and view all the answers

    What is the goal of the first federated learning public competition?

    <p>To help the community get closer to the topic and Intel's tool</p> Signup and view all the answers

    True or false: OpenFL is a tool that helps to create a federated learning system.

    <p>True</p> Signup and view all the answers

    What industries can Federated Learning be used in?

    <p>Medical imaging and retail</p> Signup and view all the answers

    True or false: Federated Learning is a way to protect data privacy.

    <p>True</p> Signup and view all the answers

    What would simplify the job of multiple governments?

    <p>Starting from a preferred infrastructure</p> Signup and view all the answers

    How can OpenFL help you create a Federated Learning system?

    <p>By providing templates and tutorials</p> Signup and view all the answers

    What is the purpose of the collaborators in Federated Learning?

    <p>To train a clone of the common model locally</p> Signup and view all the answers

    How does Federated Learning overcome the limitations of traditional learning methods?

    <p>By allowing participants to access the same information at the same time</p> Signup and view all the answers

    What is the role of the central party in Federated Learning?

    <p>To combine the models from all the institutions</p> Signup and view all the answers

    What is the main purpose of Federated Learning?

    <p>To share and combine knowledge from multiple sources to create a unified understanding</p> Signup and view all the answers

    Study Notes

    • Federated Learning is a way to train models on distributed data without sending the data itself or violating its privacy.
    • Each collaborator trains a clone of the common model locally, leveraging its own dataset and every now and then the models coming from all the institutions gets aggregated by a central party (called “aggregator”) and then sent back for further training.
    • This approach is possible because there are multiple data hubs or institutions distributed in different locations, called collaborators, that want to train a common model without sharing the data.
    • Federated learning is a way to share and combine knowledge from multiple sources to create a unified understanding.
    • It is a way to overcome the limitations of traditional learning methods by allowing participants to access the same information at the same time.
    • Federated learning can be used in a variety of industries, including medical imaging and retail.
    • OpenFL is a tool that can help you create a federated learning system.
    • The package comes with a number of templates and tutorials that will help you get started.

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    Description

    Test your knowledge about federated learning and OpenFL with this quiz. Explore the concepts and applications of federated learning, as well as the tools and methods for implementing it.

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