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Differentially Privacy-Preserving Federated Learning Using Wasserstein Generative Adversarial Network
conference contribution
posted on 2021-01-01, 00:00 authored by Yichen WanYichen Wan, Youyang Qu, Longxiang Gao, Yong XiangYong XiangDifferentially Privacy-Preserving Federated Learning Using Wasserstein Generative Adversarial Network
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Event
Computers and Communications. Symposium (2021 : Athens, Greece)Volume
2021-SeptemberPagination
1 - 6Publisher
IEEELocation
Athens, GreecePlace of publication
Piscataway, N.J.Publisher DOI
Start date
2021-09-05End date
2021-09-08ISSN
1530-1346eISSN
2642-7389ISBN-13
9781665427449Language
engPublication classification
E1 Full written paper - refereedTitle of proceedings
ISCC 2021 : Proceedings of the 2021 IEEE Symposium on Computers and CommunicationsUsage metrics
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