HFEL: Joint edge association and resource allocation for cost-efficient hierarchical federated edge learning

S Luo, X Chen, Q Wu, Z Zhou… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Federated Learning (FL) has been proposed as an appealing approach to handle data
privacy issue of mobile devices compared to conventional machine learning at the remote …
被引用次数：326 相关文章

HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning

S Luo, X Chen, Q Wu, Z Zhou, S Yu - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Federated Learning (FL) has been proposed as an appealing approach to handle data
privacy issue of mobile devices compared to conventional machine learning at the remote …

HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning

S Luo, X Chen, Q Wu, Z Zhou, S Yu - arXiv preprint arXiv:2002.11343, 2020 - arxiv.org
Federated Learning (FL) has been proposed as an appealing approach to handle data
privacy issue of mobile devices compared to conventional machine learning at the remote …