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 paper discusses the design and implementation of parallel processing algorithm for big data under the framework of high performance computing (HPC). In the design of parallel processing ...
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