FedDQA: A novel regularization-based deep learning method for data quality assessment in federated learning-Reference-Cited by-同舟云学术

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FedDQA: A novel regularization-based deep learning method for data quality assessment in federated learning

Published:2024-05 Issue: Volume:180 Page:114183
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

Zhang Zongxiang,Chen Gang,Xu Yunjie,Huang Lihua,Zhang Chenghong,Xiao Shuaiyong

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Reference84 articles.

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5. Differential privacy;Dwork,2006

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on Data Quality Governance for Federated Cooperation Scenarios;Electronics;2024-09-11

2. A Multifaceted Survey on Federated Learning: Fundamentals, Paradigm Shifts, Practical Issues, Recent Developments, Partnerships, Trade-Offs, Trustworthiness, and Ways Forward;IEEE Access;2024

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