Task-Oriented Framework for Communication-Efficient Federated Learning: From Isolated Optimization to Holistic Synergy
Communication bottlenecks remain a primary obstacle to the large-scale deployment of federated learning (FL). This article proposes a comprehensive framework for building communication-efficient FL, founded on three fundamental pillars: model compression, client selection, and resource allocation. We first survey state...