Acknowledgements to Reviewers

Federated learning, also known as distributed AI/machine learning, is a method that enables cooperative learning from big datasets owned by several parties without compromising the privacy of each person's raw data. FL is especially helpful when the needed information is not open source or easily accessible due to tactical or ...read more

Sensing technologies, wireless communications, and control systems are becoming ubiquitous in our daily lives, with the potential to enhance and streamline many aspects of modern society. However, this also creates new challenges in terms of ensuring trust and managing risks associated with the use of these technologies. The sheer volume ...read more

This thematic issue will focus on the intersection of Machine Learning and the manufacturing industry within the context of Industry 4.0. Industry 4.0 involves the use of smart sensors, devices, and machines to enable the creation of smart factories that constantly collect data related to production. Machine Learning techniques can ...read more

Design of new network architectures, algorithms and protocols is one of the fundamental challenges in next-generation networking. To this end, novel networking techniques and applications are required for advancing today?s complex communication networks. This thematic issue provides researchers, industry professionals and practitioners with a forum to present the latest research ...read more