Differentially Privacy-Preserving Federated Learning Using Wasserstein Generative Adversarial Network

Wan, Yichen; Qu, Youyang; Gao, Longxiang; Xiang, Yong

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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 Xiang

Differentially Privacy-Preserving Federated Learning Using Wasserstein Generative Adversarial Network

History

Event

Computers and Communications. Symposium (2021 : Athens, Greece)

Volume

2021-September

Pagination

1 - 6

Publisher

IEEE

Location

Athens, Greece

Place of publication

Piscataway, N.J.

Publisher DOI

https://doi.org/10.1109/ISCC53001.2021.9631541

Start date

2021-09-05

End date

2021-09-08

ISSN

1530-1346

eISSN

2642-7389

ISBN-13

9781665427449

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

ISCC 2021 : Proceedings of the 2021 IEEE Symposium on Computers and Communications

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Differentially Privacy-Preserving Federated Learning Using Wasserstein Generative Adversarial Network

File(s) under permanent embargo

Differentially Privacy-Preserving Federated Learning Using Wasserstein Generative Adversarial Network

History

Event

Volume

Pagination

Publisher

Location

Place of publication

Publisher DOI

Start date

End date

ISSN

eISSN

ISBN-13

Language

Publication classification

Title of proceedings

Usage metrics

Read the peer-reviewed publication

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