Expert Systems - Optimizing resources with low-precision feature selection: A performance analysis of logarithmic division and stochastic rounding - https://github.com/SamuelSuarezM/low-precision-feature-selection

Neurocomputing - Towards federated feature selection: logarithmic division for resource-conscious methods -  https://github.com/SamuelSuarezM/federated-logarithmic-fs

CAEPIA - Selección de características eficiente en entornos federados - https://github.com/SamuelSuarezM/efficient_federated_feature_selection

ESANN - Logarithmic Division for Green Feature Selection: An Information-Theoretic Approach - https://github.com/SamuelSuarezM/logarithmic_division_feature_selection

ICMLA - Mutual Information-based feature selection for federated learning environments - https://github.com/SamuelSuarezM/federated_mutual_information_fs

Journal of Parallel and Distributed Computing  - CUDA Acceleration of MI-based Feature Selection Methods  - https://gitlab.com/bieito/parallel-fst 

SoftwareX - BetaGPU: Harnessing GPU power for parallelized beta distribution functions - https://github.com/UDC-GAC/BetaGPU