Distributed machine learning for wireless communication networks: Techniques, architectures, and applications

S Hu, X Chen, W Ni, E Hossain… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Distributed machine learning (DML) techniques, such as federated learning, partitioned
learning, and distributed reinforcement learning, have been increasingly applied to wireless …
被引用次数：100 相关文章

Distributed machine learning for wireless communication networks: Techniques, architectures, and applications

S Hu, X Chen, W Ni, E Hossain… - … Surveys and Tutorials, 2021 - opus.lib.uts.edu.au
Distributed machine learning (DML) techniques, such as federated learning, partitioned
learning, and distributed reinforcement learning, have been increasingly applied to wireless …

Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications

S Hu, X Chen, W Ni, E Hossain, X Wang - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Distributed machine learning (DML) techniques, such as federated learning, partitioned
learning, and distributed reinforcement learning, have been increasingly applied to wireless …
[PDF] academia.edu

[PDF][PDF] Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications

S Hu, X Chen, W Ni, E Hossain, X Wang - academia.edu
Distributed machine learning (DML) techniques, such as federated learning, partitioned
learning, and distributed reinforcement learning, have been increasingly applied to wireless …

Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications

S Hu, X Chen, W Ni, E Hossain, X Wang - arXiv preprint arXiv:2012.01489, 2020 - arxiv.org
Distributed machine learning (DML) techniques, such as federated learning, partitioned
learning, and distributed reinforcement learning, have been increasingly applied to wireless …