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 …

We develop a theoretical framework to study the training of federated learning models with
partial gradients via over-the-air computing. The system consists of an edge server and …

We propose a federated version of adaptive gradient methods, particularly AdaGrad and
Adam, within the framework of over-the-air model training. This approach capitalizes on the …

Over-the-air federated learning (OTA-FL) provides bandwidth-efficient learning by
leveraging the inherent superposition property of wireless channels. Personalized federated …

Federated learning (FL) provides a privacy-preserving approach to realizing networked
intelligence. However, the performance of FL is often constrained by the limited …

Today, information technologies and their usage areas are increasing day by day. Advanced
technologies such as the internet of things, smart devices and applications, machine …