Federated learning for internet of things: Recent advances, taxonomy, and open challenges

LU Khan, W Saad, Z Han, E Hossain… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) will be ripe for the deployment of novel machine learning
algorithm for both network and application management. However, given the presence of …
被引用次数：548 相关文章

Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges

LU Khan, W Saad, Z Han, E Hossain… - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Abstract The Internet of Things (IoT) will be ripe for the deployment of novel machine
learning algorithms for both network and application management. However, given the …

Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges

LU Khan, W Saad, Z Han, E Hossain… - arXiv preprint arXiv …, 2020 - arxiv.org
The Internet of Things (IoT) will be ripe for the deployment of novel machine learning
algorithms for both network and application management. However, given the presence of …

Federated learning for internet of things: Recent advances, taxonomy, and open challenges

LU Khan, W Saad, Z Han, E Hossain… - … Surveys and Tutorials, 2021 - khu.elsevierpure.com
Abstract The Internet of Things (IoT) will be ripe for the deployment of novel machine
learning algorithm for both network and application management. However, given the …

[引用][C] Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges

LU Khan, W Saad, Z Han, E Hossain… - … Surveys & Tutorials, 2021 - cir.nii.ac.jp
Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges
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