… , privacy, services provisioning, and network management challenges. In order to … network
operation and management, the joint consideration of blockchain and machine learning (ML) …

… communications and networking, to discuss open issues related to the application of machine
learning into networking … and techniques for big data analysis in communication systems. …

… and technologies for proactive network optimization using machine learning in future networks.
A survey on the use of ML in 5G and beyond 5G mobile wireless networks is presented in …

… Machine learning (ML) has recently been applied to solve … that can solve complex
communication network problems and … of ML models in communication networks for prediction, …

… Machine Learning (ML), a powerful methodology for adaptive and predictive system …
networks. Adopting data-centric methods enables ML to address highly dynamic vehicular network …

… computational demands of modern machine learning algorithms prevent the … networks
call for novel machine learning-based approaches to radio resource management and network …

… Machine Learning (ML) has been enjoying an … arising in network operation and management.
There are various surveys on ML for specific areas in networking or for specific network …

… notions of machine learning techniques. Then, by adopting a bottom-up approach, we
examine existing work on machine learning for the IoT at the physical, data-link and network layer …

… machine learning technology is being considered as a very promising tool to attack the big
challenge in wireless communications and networks … learning, unsupervised learning, and …

… the communication and networking research community. In [17], the authors survey the topic
of distributed machine learning with … learning in the communication and networking domain. …