Cost Effective MLaaS Federation: A Combinatorial Reinforcement Learning Approach. (arXiv:2204.13971v1 [cs.LG])

With the advancement of deep learning techniques, major cloud providers and
niche machine learning service providers start to offer their cloud-based
machine learning tools, also known as machine learning as a service (MLaaS), to
the public. According to our measurement, for the same task, these MLaaSes from
different providers have varying performance due to the proprietary datasets,
models, etc. Federating different MLaaSes together allows us to improve the
analytic performance further. However, naively aggregating results from
different MLaaSes not only …

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