Federated Learning Community Group Proposed

The Federated Learning Community Group has been proposed:

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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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You are invited to support the creation of this group:
  http://www.w3.org/community/groups/proposed#federated-learning

Once the group has a total of five supporters, it will be launched and
people can join to begin work. Once launched, the group will no longer
be listed as "proposed"; it will appear in the list of current groups:
  http://www.w3.org/community/groups/

In order to support the group, you will need a W3C account. To request one:
  http://www.w3.org/accounts/request

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

Thank you,
W3C Community Development Team

Received on Thursday, 4 November 2021 01:59:03 UTC