Abstract: This study introduces a novel method to predict energy efficiency in data center cooling systems, combining feature selection with a deep learning model. The approach uses a three-step ...
Abstract: Vertical federated learning (VFL) enables a paradigm for vertically partitioned data across clients to collaboratively train machine learning models. Feature selection (FS) plays a crucial ...
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