Abstract: The virtual-to-real paradigm, i.e., training models on virtual data and then applying them to solve real-world problems, has attracted more and more attention from various domains by ...
Abstract: Federated Learning (FL) is a promising paradigm for mining massive data while respecting users’ privacy. However, the deployment of FL on resource-constrained edge devices remains elusive ...