Cost-effective federated learning in mobile edge networks

B Luo, X Li, S Wang, J Huang… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Federated learning (FL) is a distributed learning paradigm that enables a large number of
mobile devices to collaboratively learn a model under the coordination of a central server …
被引用次数：68 相关文章

Cost-Effective Federated Learning in Mobile Edge Networks

B Luo, X Li, S Wang, J Huang, L Tassiulas - IEEE J-SAC, 2021 - research.ibm.com
Federated learning (FL) is a distributed learning paradigm that enables a large number of
mobile devices to collaboratively learn a model under the coordination of a central server …

Cost-Effective Federated Learning in Mobile Edge Networks

B Luo, X Li, S Wang, J Huang, L Tassiulas - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Federated learning (FL) is a distributed learning paradigm that enables a large number of
mobile devices to collaboratively learn a model under the coordination of a central server …

Cost-Effective Federated Learning in Mobile Edge Networks

B Luo, X Li, S Wang, J Huang, L Tassiulas - arXiv preprint arXiv …, 2021 - arxiv.org
Federated learning (FL) is a distributed learning paradigm that enables a large number of
mobile devices to collaboratively learn a model under the coordination of a central server …
[PDF] ieee.org

[PDF][PDF] Cost-Effective Federated Learning in Mobile Edge Networks

B Luo, X Li, S Wang, J Huang, L Tassiulas - ieeexplore.ieee.org
Federated learning (FL) is a distributed learning paradigm that enables a large number of
mobile devices to collaboratively learn a model under the coordination of a central server …