A Federated Learning Model for Fault Diagnosis of IIoT Using a Modified PSO Algorithm Customized by Taguchi Method
Author:
Affiliation:
1. College of Intelligent Equipment, Shandong University of Science and Technology, China
2. Guoshen Company Technical Support Center, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3653081.3653105
Reference14 articles.
1. Communication-Efficient Federated Learning for Digital Twin Edge Networks in Industrial IoT
2. Unsupervised deep transfer learning for fault diagnosis in fog radio access networks;Wu W.;IEEE Internet of Things Journal,2020
3. Feature Mining and Sensitivity Analysis with Adaptive Sparse Attention for Bearing Fault Diagnosis
4. McMahan B. Moore E. Ramage D. Hampson S. & y Arcas B. A. 2017. Communication-efficient learning of deep networks from decentralized data. In Artificial intelligence and statistics (pp. 1273-1282). PMLR.
5. Adaptive privacy-preserving federated learning for fault diagnosis in internet of ships;Zhang Z.;IEEE Internet of Things Journal,2021
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