We are at the cusp of two transformational technologies, namely the fifth generation of
wireless communication systems, known as 5G, and machine learning (ML). On the one …

The burgeoning advances in machine learning and wireless technologies are forging a new
paradigm for future networks, which are expected to possess higher degrees of intelligence …

The fifth generation (5G) and beyond wireless networks are envisioned to provide an
integrated communication and computing platform that will enable multipurpose and …

Federated Learning for Future Intelligent Wireless Networks Explore the concepts,
algorithms, and applications underlying federated learning In Federated Learning for Future …

Traditional machine learning is centralized in the cloud (data centers). Recently, the security
concern and the availability of abundant data and computation resources in wireless …

Machine learning (ML) is a promising enabler for the fifth-generation (5G) communication
systems and beyond. By imbuing intelligence into the network edge, edge nodes can …

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 …

In the era of artificial intelligence (AI), deep neural networks (DNNs) become larger using a
massive amount of data, and thus, they are trained via cooperative computing devices (eg …

Artificial Intelligence (AI) is expected to play an instrumental role in the next generation of
wireless systems, such as sixth-generation (6G) mobile network. However, massive data …

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