Private Data Protection With Machine Unlearning for Next-Generation Networks

Private Data Protection With Machine Unlearning for Next-Generation Networks

In next-generation networks, distributed clients collaborate to generate an aggregated global model tailored for various vertical applications. However, this convenience comes at the cost of potential privacy risks, as personal information may be exposed within the global model aggregation process....

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Bibliographic Details
Main Authors: Kongyang Chen, Yiwen Wang, Lanlan Zhao, Caiyun Jiang, Haiyan Mai, Yuanying Wu, Huanqi Hong, Yuanyuan Shen, Jian Mo, Lin-Lu Huang, Jun Peng, Xiaoying Wang, Qintai Yang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Machine unlearning
data privacy
neural networks
Online Access:https://ieeexplore.ieee.org/document/10804198/
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https://ieeexplore.ieee.org/document/10804198/

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