这里引用原文解释一下为什么作者认为联邦学习是一种去中心化的技术:For cases in FL, each client is completely autonomous, data is not allocated by center and the training process is not governed by server. Therefore, FL is an integrated tech- nology to combine machine learning models and data fusi...
Federated learning for digital healthcare: concepts, applications, frameworks, and challengesFederated learningDigital healthcareHealth informatics00–02hospitals have adopted digital technologies in the healthcare sector for various healthcare-related applications. Due to the effect of the Covid-19 pandemic...
Ferrag MA, Friha O, Maglaras L, Janicke H, Shu L (2021) Federated deep learning for cyber security in the internet of things: concepts, applications, and experimental analysis. IEEE Access 9:138509–138542 Article Google Scholar Sarhan Mohanad et al (2023) Cyber threat intelligence sharing...
To conclude, we argue that federated learning presents organizational challenges with ample interdisciplinary opportunities for information systems researchers. 展开 年份: 2023 收藏 引用 批量引用 报错 分享 全部来源 求助全文 arXiv.org 相似文献Vertical Federated Learning: Concepts, Advances, and Challenges ...
Federated Deep Learning for Cyber Security in the Internet of Things: Concepts, Applications, and Experimental Analysis 2021, IEEE Access View all citing articles on ScopusAbbas Yazdinejad received the B.Sc. degrees in Computer Engineering from the Shahid Bahonar University of Kerman in 2014. He ...
Federated machine learning: Concept and applications Acm Trans. Intell. Syst. (2019)View more references Cited by (125) Fairness and privacy preserving in federated learning: A survey 2024, Information Fusion Show abstract Survey on federated learning threats: Concepts, taxonomy on attacks and defenc...
In Section 2, we introduce the concepts of federated learning and discuss the motivation for its use.In Section 3, we review the state-of-the-art of federated learning algorithms and applications. In Section 4, we discuss the challenges and potential future directions of federated learning ...
First, implementing edge intelligence algorithms on smart meters should primarily consider hardware resource availability for the feasibility of grid applications. Second, smart meters can collaborate through federated learning to improve energy analytics performance in edge intelligence by orchestrating the ...
2FL, AI, and healthcare: state-of-the-art This segment presents advanced concepts regarding Federated Learning, artificial intelligence, and e-healthcare properly. In FL segments include various aspects of developments, the necessity of FL, different features of FL in2.1. Further, we introduce AI...
Discover the latest articles, news and stories from top researchers in related subjects. Artificial Intelligence Data availability Data will be made available on request. References Agrawal S, Sarkar S, Aouedi O et al (2021) Federated learning for intrusion detection system. Concepts, challenges an...