Dell Products L.P. (20250117660). GENETIC ALGORITHM FOR PRUNED MODEL GENERATION
GENETIC ALGORITHM FOR PRUNED MODEL GENERATION
Organization Name
Inventor(s)
Vinicius Michel Gottin of Rio de Janeiro – RJ BR
Paulo Abelha Ferreira of Rio de Janeiro – RJ BR
Pablo Nascimento Da Silva of Niterói – RJ BR
GENETIC ALGORITHM FOR PRUNED MODEL GENERATION
This abstract first appeared for US patent application 20250117660 titled 'GENETIC ALGORITHM FOR PRUNED MODEL GENERATION
Original Abstract Submitted
one method includes causing one or more edge nodes to generate and train an initial full candidate machine learning (ml) model, and the training of the initial full candidate ml models is performed only once at the one or more edge nodes, at a central node, applying a respective random prune mask to each of the initial full candidate ml models so as to generate a respective pruned model, and each of the pruned models includes an individual in an initial generation, computing a fitness score for each of the individuals based on a generalization loss and on a number of pruned parameters in the model, and when a halting condition is not met, performing a search-iteration process to create a next generation of individuals or, alternatively, when the halting condition is met, deploying a pruned model of a best scoring individual to one or more target edge nodes.
