A survey that frames heterogeneity-aware machine learning as a paradigm spanning data collection, training, evaluation, and deployment, drawing mostly on the authors' prior results.
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Data Heterogeneity Modeling for Trustworthy Machine Learning
A survey that frames heterogeneity-aware machine learning as a paradigm spanning data collection, training, evaluation, and deployment, drawing mostly on the authors' prior results.