Abstract: In federated learning, non-independently and non-identically distributed heterogeneous data on the clients can limit both the convergence speed and model utility of federated learning, and ...
1 DFQM, Federal University of São Carlos, Sorocaba, São Paulo, Brazil. 2 Federal University of Alfenas-MG, Poços de Caldas, Minas Gerais, Brazil.
Abstract: Gaussian Mixture Function (GMF) is a widely utilized model for analyzing and elucidating experimental data in science and engineering, where the fitting of GMF with noisy observations is ...