Lightweight and Data-imbalance-aware Defect Detection Approach Based on Federated Learning in Industrial Edge Networks
Author:
Affiliation:
1. School of Computer and Artificial Intelligence, Zhengzhou University,Zhengzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10199110/10199203/10199610.pdf?arnumber=10199610
Reference11 articles.
1. He-Gan: Differentially Private Gan Using Hamiltonian Monte Carlo Based Exponential Mechanism
2. FReLU: Flexible Rectified Linear Units for Improving Convolutional Neural Networks
3. An End-to-End Steel Surface Defect Detection Approach via Fusing Multiple Hierarchical Features
4. A Novel Transmission Line Defect Detection Method Based on Adaptive Federated Learning
5. An Elderly Fall Detection Method Based on Federated Learning and Extreme Learning Machine (Fed-ELM)
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