CoLearn: enabling federated learning in MUD-compliant IoT edge networks

Feraudo, Angelo, Yadav, Poonam, Safronov, Vadim et al. (5 more authors) (2020) CoLearn: enabling federated learning in MUD-compliant IoT edge networks. In: EdgeSys '20: Proceedings of the Third ACM International Workshop on Edge Systems, Analytics and Networking. ACM , 25–30.

Abstract

Metadata

Authors/Creators:
  • Feraudo, Angelo
  • Yadav, Poonam (poonam.yadav@york.ac.uk)
  • Safronov, Vadim
  • Popescu, Diana Andreea
  • Mortier, Richard
  • Wang, Shiqiang
  • Bellavista, Paolo
  • Crowcroft, Jon
Copyright, Publisher and Additional Information: This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.
Dates:
  • Published: 25 April 2020
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 28 Oct 2020 16:00
Last Modified: 03 Oct 2021 10:46
Published Version: https://doi.org/10.1145/3378679.3394528
Status: Published
Publisher: ACM
Refereed: No
Identification Number: https://doi.org/10.1145/3378679.3394528

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Filename: EdgeSys2020.pdf

Description: EdgeSys2020

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