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 learning (FL) is an emerging paradigm for training machine learning models
using possibly private data available at edge devices. The distributed operation of FL gives …

Federated learning (FL) is an emerging paradigm that allows a central server to train
machine learning models using remote users' data. Despite its growing popularity, FL faces …

The recent development of scalable Bayesian inference methods has renewed interest in
the adoption of Bayesian learning as an alternative to conventional frequentist learning that …