Affiliation:
1. Institute for Digital Technologies, Loughborough University, London, U.K
2. Department of Engineering, King’s College London, London, U.K
Funder
European Union’s Horizon 2020 Research and Innovation Program
Primo-5G: Virtual Presence in Moving Objects, e.g. drones, through 5G
Engineering and Physical Sciences Research Council (EPSRC), U.K
Innovate UK through the Project “Automation of Network edge Infrastructure and Applications with aRtificiAl intelligence (ANIARA)”
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications
Reference30 articles.
1. Reliable Federated Learning for Mobile Networks
2. Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
3. Scheduling for Cellular Federated Edge Learning With Importance and Channel Awareness
4. Convergence of update aware device scheduling for federated learning at the wireless edge;amiri;arXiv 2001 10402,2020
5. Measuring the effects of non-identical data distribution for federated visual classification;hsu;arXiv 1909 06335,2019
Cited by
27 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献