As the 5G communication networks are being widely deployed worldwide, both industry and
academia have started to move beyond 5G and explore 6G communications. It is generally …

There is a growing interest in the wireless communications community to complement the
traditional model-driven design approaches with data-driven machine learning (ML)-based …

The ultimate goal of Internet of Things (IoT) technology is to evolve into the Internet of
Everything. Two key elements of IoT are artificial intelligence (AI) for smart devices and the …

Conventional machine learning techniques are conducted in a centralized manner.
Recently, the massive volume of generated wireless data, the privacy concerns and the …

New technological advancements in wireless networks have enlarged the number of
connected devices. The unprecedented surge of data volume in wireless systems …

Owing to the universal availability of 5G networking networks, both business and academia
have started to explore 6G interchanges. 6G is widely intended to be based on artificial …

Abstract Machine learning (ML) and Deep learning (DL) models are popular in many areas,
from business, medicine, industries, healthcare, transportation, smart cities, and many more …

Standard machine-learning approaches involve the centralization of training data in a data
center, where centralized machine-learning algorithms can be applied for data analysis and …

With 5G cellular systems being actively deployed worldwide, the research community has
started to explore novel technological advances for the subsequent generation, ie, 6G. It is …

In order to meet the extremely heterogeneous requirements of the next generation wireless
communication networks, research community is increasingly dependent on using machine …