Federated learning dataset: A case study of vibration analysis for desktop 3D printers

This dataset contains the acceleration data collected from six low-cost 3D printers (same make and model) air-printing cubes with different printing speeds. This dataset can be used as a case study for federated learning, personalized learning, etc.

Related Organizations

University of Michigan–Flint
United States

Keywords

Additive manufacturing, Personalized learning, Smart manufacturing, Federated learning, 3D printing, Vibration

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