Federated Learning Community Group Launched

With your support, the Federated Learning Community Group has been launched:
  http://www.w3.org/community/federated-learning/

This group was originally proposed on 2021-11-04
by Wonsuk Lee. The following people supported its
creation: 
      Wonsuk Lee
      Sungpil Shin
      Daniel Hark SOHN
      Hyojin Song
      Seungyun Lee
      Sungyoung Son
      Jiwoong YOO
      Ryuan Choi
      JIN BYUNG LEE
      Wooglae Kim
      Changjin Jeong
      Hyungwook Lee
      Geunhyung Kim
      Pablo COCA
      Kangchan Lee
      Patrick Guerrero
  
To join the group, please use:
 http://www.w3.org/community/federated-learning/join

Please note that supporting a group is different from joining
a group. Supporters must also enroll if they wish to participate.

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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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Thank you,

W3C Community Development Team

Received on Monday, 22 November 2021 11:56:54 UTC