July 22, 2022, 1:11 a.m. | Rudy Semola, Vincenzo Lomonaco, Davide Bacciu

cs.LG updates on arXiv.org arxiv.org

Predictive machine learning models nowadays are often updated in a stateless
and expensive way. The two main future trends for companies that want to build
machine learning-based applications and systems are real-time inference and
continual updating. Unfortunately, both trends require a mature infrastructure
that is hard and costly to realize on-premise. This paper defines a novel
software service and model delivery infrastructure termed Continual
Learning-as-a-Service (CLaaS) to address these issues. Specifically, it
embraces continual machine learning and continuous integration techniques. …

arxiv as-a-service continual continual-learning learning lg predictive

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