Private Data Leakage in Federated Contrastive Learning Networks

Private Data Leakage in Federated Contrastive Learning Networks

In next-generation wireless networks, distributed clients collaborate to achieve data perception, knowledge discovery, and model reasoning. Generally, Federated Contrastive Learning (FCL) represents an emerging approach for learning from decentralized unlabeled data while upholding data privacy. In...

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Bibliographic Details
Main Authors: Kongyang Chen, Wenfeng Wang, Zixin Wang, Yao Huang, Yatie Xiao, Wangjun Zhang, Zhipeng Li, Zhefei Guo, Zhucheng Luo, Lin Yin, Haiyan Mai, Xiaoying Wang, Qintai Yang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Unsupervised learning
contrastive learning
federated learning
private data leakage
Online Access:https://ieeexplore.ieee.org/document/10664466/
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