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: The Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) is a widespread real-world challenge, and numerous algorithms have been proposed to address it. However, in the context of an ...
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Mastering Big O for smarter coding
Big O notation is the tool developers use to describe how algorithms scale as inputs grow, focusing on the worst-case scenario. It helps you choose solutions that stay efficient under heavy loads, ...
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