HFSL-CUNs: A Hierarchical Federated Split Learning Framework for Cluster-Based and UAV-Assisted Edge-Fog-Cloud Networks
The increasing deployment of Internet of Things (IoT) applications has created a growing need for distributed learning frameworks that can operate efficiently across resource-constrained edge environments while preserving data privacy. Federated Learning (FL) enables collaborative model training without sharing raw dat...