… 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 …

… learning, the last four years have witnessed a paradigm shift in the applicability mechanism
of machine learning (ML). An emerging model, called federated learning (FL), is rising above …

… federation and motivation of federation. The categorization can help the design of federated
learning … By systematically summarizing the existing federated learning systems, we present …

… 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 …

… Federated learning (FL) has recently emerged as a promising solution under this new reality…
Currently, there is no survey on this topic. In this paper, we bridge this important gap in FL …

… Federated Learning (FL) has emerged as a distributed … In this article, we provide a
comprehensive survey of the … We then provide an extensive survey of the use of FL in various …

… and challenges in federated learning. … in the Federated Learning domain, we present this
survey paper. The recent works [2, 14, 26, 36] are focused either on different federated learning …

… in the standard centralized learning mode, especially when the … In this survey, we provide
a detailed analysis of the influence … learning models in both horizontal and vertical federated …

… —Federated learning (FL) is a distributed machine learning strategy that generates a global
model by learning … In this survey paper, we propose to answer this question: how to train …

… This study finds these research activities and optimization path of FL based on survey. Thus,
… the prevailing FL applications and the evolution of federated learning. In the end, this study …