Communication and computation are often viewed as separate tasks. This approach is very
effective from the perspective of engineering as isolated optimizations can be performed …

Federated edge learning (FL), as an emerging distributed machine learning paradigm,
allows a mass of edge devices to collaboratively train a global model while preserving …

To address the heterogeneity of devices' data and guarantee high computation and
communication efficiency of federated learning (FL), we consider an FL framework with …