Hierarchical Federated Learning for Networked AI: From Communication Saving to Architecture-Aware Design
arXiv:2605.00931v1 Announce Type: new
Abstract: Federated learning (FL) is fundamentally a distributed optimization problem executed by communicating agents with local data, local computation, and partial system visibility. Once FL is viewed through t…