Parallelization of the self-organized maps algorithm for federated learning on distributed sources

This paper describes a formally based approach for parallelizing the Kohonen algorithm used for the federated learning process in a special kind of neural networks—Self-Organizing Maps. Our approach enables executing the parallel algorithm version on the distributed data sources, taking into account...

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