Abstract: Federated Learning (FL) represents a promising distributed learning paradigm that enables model training without centralizing users' sensitive data. However, FL faces several practical ...
Abstract: The hysteresis of the positioning platform exhibits rate dependence. To address this issue, the combined modeling approach for hysteresis, integrating the improved gradient descent (GD) ...
This repository contains the implementation of the granular ball-based feature selection algorithm for multi-label learning, as described in the research paper published in Knowledge-Based Stems. Note ...
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