Federated Learning (FL) enables collaborative model training across edge devices while
preserving data locally. Deploying FL faces challenges due to device heterogeneity. Using …

kubeFlower: A privacy-preserving framework for Kubernetes-based federated learning in
cloud–edge environments — University of Bristol Skip to main navigation Skip to search Skip to …