Federated Learning with Correlated Data

While information delivery in industrial Internet of things demands reliability and latency guarantees, the freshness of the controller’s available information, measured by […]

Distributed Learning in Wireless Networks

The next-generation of wireless networks will enable many machine learning (ML) tools and applications to efficiently analyze various types of data collected […]

Intelligent Radio Signal Processing

Intelligent signal processing for wireless communications is a vital task in modern wireless systems, but it faces new challenges because of network […]

Federated Machine Learning

The communication and networking field is hungry for machine learning decision-making solutions to replace the traditional model-driven approaches that proved to be […]


This article proposes a communication-efficient decentralized deep learning algorithm, coined layer-wise federated group ADMM (L-FGADMM). To minimize an empirical risk, every worker […]

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