Abstract: The explosion of machine learning (ML) model size has led to its execution on distributed clusters at a large scale. Many works have tried to optimize the process of producing collective ...
Abstract: Model-driven optimization promises the availability of meta-heuristic approaches, such as evolutionary algorithms, for optimization problems to domain experts, without requiring deeper ...
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