Neural Architecture Search in Federated Learning: A Unified Design Concept

Abstract

While federated learning (FL) enables collaborative model training without centralizing data, it typically relies on predefined neural architectures that may be poorly aligned with decentralized, heterogeneous, and resource-constrained clients. Such a