Abstract: Federated learning is a distributed machine learning paradigm designed to facilitate collaborative model training while preserving user data privacy. However, in practical scenarios, data ...
Abstract: Distributed hybrid flow shop scheduling is prevalent in industries such as integrated circuit manufacturing, ceramic frit production, glass fiber processing, and steelmaking. Machine ...
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