… to the training of ML models in general, we focus specifically on DNN model training in this
section as a majority of the papers that we subsequently review study the federated training of …

… introduction of federated learning. Specifical⁃ ly, we first survey the basis of federated
learning, including its learning … features from conventional machine learning models. We then …

… of federated learning. Finally, we summarize the characteristics of existing federated learning…
follows: (1) Review the development of federated learning. (2) Introduce the existing work of …

… In this survey, we review the fundamentals of EC and FL, then we review the existing related
works in FL in EC. Furthermore, we describe the protocols, architecture, framework, and …

… Federated Learning domain, we present this survey paper. The recent works [2, 14, 26, 36]
are focused either on different federated learning … a general overview on Federated Learning …

… network edge, specially for federated learning. In this paper, we describe the recent work on
resource management at the edge … includes an introduction to the topic and a description of …

… Federated learning (FL) is an emerging branch of artificial intelligence and ML (W. Yang,
Zhang, Ye, et al., 2019). FL is a distributed method in which the data is distributed among data …

… and dedicated review of the use of FL in IoT networks and … comprehensive review of the
integration of FL in IoT networks… of FL in IoT networks, starting from an introduction to the recent …

… consideration in machine learning. This paper provides an overview of how Federated
Learning can be used to improve data security and privacy. Federated Learning is made up of …

… The following section takes two examples to illustrate the application scenarios of federated
learning in mobile edge computing. Following that, we review the existing work on resource …