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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

VERIFL: Communication-efficient and Fast Verifiable Aggregation for Federated Learning

Lookup NU author(s): Dr Changyu Dong

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This is the authors' accepted manuscript of an article that has been published in its final definitive form by IEEE, 2020.

For re-use rights please refer to the publisher's terms and conditions.


Publication metadata

Author(s): Guo X, Liu Z, Li J, Gao J, Hou B, Dong C, Baker T

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Information Forensics and Security

Year: 2020

Volume: 16

Pages: 1736-1751

Online publication date: 07/12/2020

Acceptance date: 25/11/2020

Date deposited: 09/12/2020

ISSN (print): 1556-6013

ISSN (electronic): 1556-6021

Publisher: IEEE

URL: https://doi.org/10.1109/TIFS.2020.3043139

DOI: 10.1109/TIFS.2020.3043139


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