DC-SHAP Method for Consistent Explainability in Privacy-Preserving Distributed Machine Learning
Abstract Ensuring the transparency of machine learning models is vital for their ethical application in various industries. There has been a concurrent trend of distributed machine learning designed to limit access to training data for privacy concerns. Such models, trained over horizontally or vert...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2023-07-01
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| Series: | Human-Centric Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44230-023-00032-4 |