Implementation of Federated Learning Algorithms for Non Independent and Identically Distributed Data
Abstract: Federated Learning (FL) has emerged as a transformative approach for training machine learning models across decentralized data sources while preserving privacy. This study evaluates the ...
Abstract: This study aims to identify urban traffic accident hotspots by integrating spatial statistics and clustering techniques. Initially, the Getis-Ord Gi* method is employed to preliminarily ...
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