A Framework for Energy and Carbon Footprint Analysis of Distributed and Federated Edge Learning

18 March 2021

Papers citing "A Framework for Energy and Carbon Footprint Analysis of Distributed and Federated Edge Learning"

4 / 4 papers shown

Title
DeepEn2023: Energy Datasets for Edge Artificial Intelligence Xiaolong Tu Anik Mallik Haoxin Wang Jiang Xie 25 1 0 30 Nov 2023
Caring Without Sharing: A Federated Learning Crowdsensing Framework for Diversifying Representation of Cities Mi-Gyoung Cho A. Mashhadi FedML 28 1 0 20 Jan 2022
On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks Minsu Kim Walid Saad Mohammad Mozaffari Merouane Debbah FedML MQ 14 23 0 15 Nov 2021
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems S. Savazzi M. Nicoli M. Bennis Sanaz Kianoush Luca Barbieri FedML AIFin AI4CE 40 124 0 09 Jan 2021