Framework for Addressing Imbalanced Data in Aviation with Federated Learning
The aviation industry generates vast amounts of data across multiple stakeholders, but critical faults and anomalies occur rarely, creating inherently imbalanced datasets that complicate machine learning applications. Traditional centralized approaches are further constrained by privacy concerns and...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-02-01
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| Series: | Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2078-2489/16/2/147 |
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