Model split-based data privacy protection method for federated learning

Model split-based data privacy protection method for federated learning

Split learning (SL) enables data privacy preservation by allowing clients to collaboratively train a deep learning model with the server without sharing raw data. However, the SL still has limitations such as potential data privacy leakage. Therefore, binarized split learning-based data privacy prot...

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Bibliographic Details
Main Author: CHEN Ka
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2024-09-01
Series:Dianxin kexue
Subjects:
federated learning
privacy protection
split learning
binarization
leakage loss
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024206/
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http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024206/

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