… is organized as follows: Section 2 provides a primer on DML and in particular Federated
Learning (FL). In Sections 3 and 4, we survey the Wireless for ML literature for over-the-air …

… of machine learning techniques. Then, by adopting a bottom-up approach, we examine
existing work on machine learning … of machine learning in IoT beyond wireless communication. …

… popular machine learning techniques utilized in wireless networks, together with a brief
summarization of their applications. The applications of machine learning … of machine learning in …

… We present a survey on various ML-based algorithms for WSNs … In this survey, we also
discuss ML algorithms for … Finally, we present a statistical analysis of the survey, the reasons for …

… Overall, the survey categorizes and partly summarizes insights from almost 400 papers in …
This survey is self-contained, as we provide a concise review of the main ML and wireless …

… In this article, we provide a comprehensive survey … survey, we review existing open source
datasets suitable for LQE research. Finally, we round up our survey with the lessons learned …

… wireless networks can leverage intelligent, data-driven functions enabled by the integration
of machine learning (ML) notions across the wireless … for solving various wireless networking …

… to the Wireless communications. This chapter is both a survey for existing works and a
guide for researchers willing to apply Machine learning to problems in ad hoc networking. …

… learning (UL), semi- supervised learning (SSL), reinforcement learning (RL), support vector
machines … This paper also addresses a brief survey of the scenarios where machine learning …

… comprehensive survey that reviews the latest research efforts focused on machine learning
(… tutorial focused on machine learning, we overview various types of learning paradigms and …