… a comprehensive study … federatedlearning approach would be a scenario where a marketing team of a credit card division in a bank would like to enhance their ML model by learning …
… Federatedlearning (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 …
L Lyu, H Yu, Q Yang - arXiv preprint arXiv:2003.02133, 2020 - arxiv.org
… Federatedlearning (FL) has recently emerged as a promising solution under this new reality. Existing FL protocol design has been shown to exhibit vulnerabilities which can be …
… In this survey, we conduct a comprehensive review on federated … federatedlearning systems as shown in our case studies. By systematically summarizing the existing federatedlearning …
… study aims to bridge gaps in current surveys by providing the reader with a comprehensive … of this survey can be summarized as follows: • We provide a comprehensive review of the …
Q Yang, Y Liu, T Chen, Y Tong - ACM Transactions on Intelligent …, 2019 - dl.acm.org
… as federatedlearning, which is a possible solution for these challenges. We survey existing works on federatedlearning, … for a comprehensive secure federated-learning framework. We …
… ABSTRACT Federatedlearning (FL) is a new technology that has been a hot research topic. It enables the training … in mobile edge networks: A comprehensivesurvey,’’ IEEE Commun. …
… With the growing awareness of data privacy, federatedlearning (FL) has gained increasing … research efforts in multimodal federatedlearning (MMFL). In this survey, we explore the area …
… This systematic review article provides an overview of FederatedLearning, covering its … practical application of FederatedLearning in real-world scenarios. As FederatedLearning is a …