Privacy‐preserving gradient boosting tree: Vertical federated learning for collaborative bearing fault diagnosis
Abstract Data‐driven fault diagnosis approaches have been widely adopted due to their persuasive performance. However, data are always insufficient to develop effective fault diagnosis models in real manufacturing scenarios. Despite numerous approaches that have been offered to mitigate the negative...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-09-01
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| Series: | IET Collaborative Intelligent Manufacturing |
| Online Access: | https://doi.org/10.1049/cim2.12057 |