… AI training at distributed IoT devices without the need for data sharing. In this article, we provide
a comprehensive survey … We then provide an extensive survey of the use of FL in various …

… on exploring aggregation strategies in FL. Thus, the motivation behind this paper is to
conduct a systematic and comprehensive survey of existing model aggregation methods in the …

… As shown in Table 1, our article presents a comprehensive survey on PPFL based on our
proposed 5W-scenario-based taxonomy. The proposed taxonomy provides a systematic and …

… training in this section as a majority of the papers that we subsequently review study the
federated training … and outperform conventional ML techniques especially when the data is large…

… But the centralized data in centralized machine learning has limitations such as limited …
this comprehensive survey on Federated Learning for smart cities. The Federated Learning for …

… To provide a comprehensive survey and facilitate the potential research of this area, we …
of federated learning from five aspects: data partitioning, privacy mechanism, machine learning …

… ABSTRACT This paper provides a comprehensive study of Federated Learning (FL) with an
emphasis on enabling software and hardware platforms, protocols, real-life applications and …

… This paper provides a comprehensive study of Federated Learning (FL) with an emphasis
… is critical data, therefore collaborative learning or federated learning comes into the picture. …

… Federated learning (FL), which is a recent development in ML where the computation is …
In this study, we present a detailed survey of applications of FL for healthcare informatics. We …

… ABSTRACT Federated learning (FL) is a new technology that has been a hot research topic.
It enables the training … in mobile edge networks: A comprehensive survey,’’ IEEE Commun. …