From federated to fog learning: Distributed machine learning over heterogeneous wireless networks

S Hosseinalipour, CG Brinton… - IEEE …, 2020 - ieeexplore.ieee.org
Machine learning (ML) tasks are becoming ubiquitous in today's network applications.
Federated learning has emerged recently as a technique for training ML models at the …
被引用次数：154 相关文章

From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks

S Hosseinalipour, CG Brinton, V Aggarwal… - arXiv e …, 2020 - ui.adsabs.harvard.edu
Abstract Machine learning (ML) tasks are becoming ubiquitous in today's network
applications. Federated learning has emerged recently as a technique for training ML …
[PDF] cbrinton.net

[PDF][PDF] From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks

S Hosseinalipour, CG Brinton, V Aggarwal… - IEEE Communications …, 2020 - cbrinton.net
Machine learning (ML) tasks are becoming ubiquitous in today's network applications.
Federated learning has emerged recently as a technique for training ML models at the …

From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks

S Hosseinalipour, CG Brinton… - IEEE …, 2020 - collaborate.princeton.edu
Abstract Machine learning (ML) tasks are becoming ubiquitous in today's network
applications. Federated learning has emerged recently as a technique for training ML …
[PDF] cbrinton.net

[PDF][PDF] From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks

S Hosseinalipour, CG Brinton, V Aggarwal… - IEEE Communications …, 2020 - cbrinton.net
Machine learning (ML) tasks are becoming ubiquitous in today's network applications.
Federated learning has emerged recently as a technique for training ML models at the …

From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks

S Hosseinalipour, CG Brinton, V Aggarwal… - arXiv preprint arXiv …, 2020 - arxiv.org
Machine learning (ML) tasks are becoming ubiquitous in today's network applications.
Federated learning has emerged recently as a technique for training ML models at the …