Hierarchical federated learning should be treated as an architecture-aware design framework for networked AI in which convergence depends on chosen hierarchy depth, layer-wise optimization roles, and communication realizations.
A hierarchical federated learn- ing approach for internet of things,
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Hierarchical Federated Learning for Networked AI: From Communication Saving to Architecture-Aware Design
Hierarchical federated learning should be treated as an architecture-aware design framework for networked AI in which convergence depends on chosen hierarchy depth, layer-wise optimization roles, and communication realizations.