RecUP-FL: Reconciling Utility and Privacy in Federated learning via User-configurable Privacy Defense-Reference-Cited by-同舟云学术

RecUP-FL: Reconciling Utility and Privacy in Federated learning via User-configurable Privacy Defense

Published:2023-07-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Asia Conference on Computer and Communications Security
language:
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Author:

Cui Yue¹^ORCID,Meerza Syed Irfan Ali¹^ORCID,Li Zhuohang¹^ORCID,Liu Luyang²^ORCID,Zhang Jiaxin³^ORCID,Liu Jian¹^ORCID

Affiliation:

1. University of Tennessee, United States of America

2. Rutgers University, United States of America

3. Intuit AI Research, USA

Funder

NSF (National Science Foundation)

the Science Alliance?s StART program

Google Cloud

Publisher

ACM

Reference54 articles.

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5. 2022. NVIDIA A100 GPU.https://www.nvidia.com/en-us/data-center/a100/. 2022. NVIDIA A100 GPU.https://www.nvidia.com/en-us/data-center/a100/.

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