Federated Learning Community Group created

The Federated Learning Community Group has been launched:
  http://www.w3.org/community/federated-learning/

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The purpose of this community group is to establish and explore the
necessary standards related with the Web for federated learning via the
analysis of current implementations related with federated learning such
as TensorFlow Federated.
The main idea of federated learning is to build machine learning models
based on data sets that are distributed across multiple clients (e.g.
mobile devices or whole organizations) while preventing data leakage.
Therefore, federated learning can give benefits like mitigation of
privacy risks and costs.

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To join:
  http://www.w3.org/community/federated-learning/join

If you do not have one already, you will need a W3C account to join:
  http://www.w3.org/accounts/request

This is a community initiative. W3C's hosting of this group does not
imply endorsement of the activities.

The group must now choose a chair:
 http://www.w3.org/community/about/faq/#how-do-we-choose-a-chair

For more information about getting started in the new group, see:
 http://www.w3.org/community/about/faq/#how-do-we-get-started-in-a-new-group

and good practice for running a group:
 http://www.w3.org/community/about/good-practice-for-running-a-group/

We invite you to share news of this new group in social media
and other channels.

If you believe that there is an issue with this group that requires
the attention of the W3C staff, please email us at site-comments@w3.org

Thank you,
W3C Community Development Team

Received on Monday, 22 November 2021 11:56:22 UTC