Abstract: Federated learning (FL) is a machine learning approach where multiple participants train a model together without sharing their privacy data. The challenge of long-tail data heterogeneity in ...
Abstract: The possible application of evolving artificial embryos to build functional machinery is a promising area of research. Unfortunately, there are still many fundamental problems to be solved ...