Abstract: The study of spreading processes on complex networks has gained significant attention recently. For example, bond percolation models considering population heterogeneity have been used to ...
Abstract: Federated Learning is an approach that enables multiple devices to collectively train a shared model without sharing raw data, thereby preserving data privacy. However, federated learning ...