Machine Learning Engineering
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INT4 Quantization Enables Efficient Federated Learning for Aerospace Predictive Maintenance
Federated learning for aerospace predictive maintenance is challenged by bandwidth limitations. This paper demonstrates that INT4 quantization, applied to a lightweight 1-D convolutional model (AeroConv1D), achieves accuracy comparable to FP32 while significantly reducing communication overhead. The…
Operationalizing ML: Transitioning from Model Training to Production Lifecycle Management
The updated Machine Learning in Production course shifts focus from isolated model training to the holistic deployment lifecycle. It provides a framework for project scoping, data management, and operational maintenance to ensure robust model performance in real-world applications.