Fine-grained data selection for improved energy efficiency of federated edge learning
In Federated edge learning (FEEL), energy-constrained devices at the network edge
consume significant energy when training and uploading their local machine learning …
consume significant energy when training and uploading their local machine learning …
[PDF][PDF] Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning
A Albaseer, M Abdallah, A Al-Fuqaha - academia.edu
In Federated edge learning (FEEL), energyconstrained devices at the network edge
consume significant energy when training and uploading their local machine learning …
consume significant energy when training and uploading their local machine learning …
Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning
A Albaseer, M Abdallah, A Al-Fuqaha… - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
In Federated edge learning (FEEL), energy-constrained devices at the network edge
consume significant energy when training and uploading their local machine learning …
consume significant energy when training and uploading their local machine learning …
Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning
A Albaseer, M Abdallah, A Al-Fuqaha… - arXiv preprint arXiv …, 2021 - arxiv.org
In Federated edge learning (FEEL), energy-constrained devices at the network edge
consume significant energy when training and uploading their local machine learning …
consume significant energy when training and uploading their local machine learning …
[PDF][PDF] Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning
A Albaseer, M Abdallah, A Al-Fuqaha - academia.edu
In Federated edge learning (FEEL), energyconstrained devices at the network edge
consume significant energy when training and uploading their local machine learning …
consume significant energy when training and uploading their local machine learning …