The papers in this special section focus on distributed signal processing for edge learning (EL). EL is a new and promising technology for implementing artificial intelligence (AI) algorithms at edge devices over wireless networks.
To process and transfer large amounts of data in emerging wireless services, it has become increasingly appealing to exploit distributed data communication and learning. Specifically, edge learning (EL) enables local model training on geographically disperse edge nodes and minimizes the need for frequent data exchange.
The IEEE Signal Processing Society is happy to announce the addition of twenty-six new Chapters formed in 2022. We welcome the following SPS Chapters and wish them great success in their future activities and events.