Exploring Co-Evolution Algorithms for Ultra-Large-Scale Models in Research

This research investigates co-evolution mechanisms in subnetworks, proposing a novel algorithm. Through theoretical analysis and experimental validation, we will compare its performance against traditional methods, focusing on training efficiency and model effectiveness using public datasets and simulated environments.