Multi-Level Federated Network Based on Interpretable Indicators for Ship Rolling Bearing Fault Diagnosis

Multi-Level Federated Network Based on Interpretable Indicators for Ship Rolling Bearing Fault Diagnosis

The federated learning network requires all the connection weights to be shared among the server and clients during training which increases the risk of data leakage. Meanwhile, the traditional federated learning method has a poor diagnostic effect for non-independently identically distributed data....

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Bibliographic Details
Main Authors: Shuangzhong Wang, Ying Zhang
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Journal of Marine Science and Engineering
Subjects:
federated learning
multi-level federated network
neural network interpretability
fault diagnosis
Online Access:https://www.mdpi.com/2077-1312/10/6/743

Internet

https://www.mdpi.com/2077-1312/10/6/743

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