J. Jiang, Y. Zhang, W. Zhang, and Y. Liu
The paper presents Aster, a system designed to simplify the deployment and management of machine learning models. The authors propose a scalable and flexible architecture for model serving, which enables efficient model deployment and updates.
One relevant paper that might interest you is: aster activation id better
Aster activation refers to the process of activating or deploying machine learning models built using the Aster framework. The framework provides tools and APIs for model development, training, and deployment.
However, I couldn't find a specific paper with this title. But I found a related paper: Zhang, and Y
"Aster: A Framework for Automated Machine Learning Model Deployment"
"Aster: Scalable, Flexible, and Efficient Machine Learning Model Serving" One relevant paper that might interest you is:
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