An Energy and Carbon Footprint Analysis of Distributed and Federated
Learning

An Energy and Carbon Footprint Analysis of Distributed and Federated Learning

21 June 2022

Papers citing "An Energy and Carbon Footprint Analysis of Distributed and Federated Learning"

9 / 9 papers shown

Title
The Energy Cost of Artificial Intelligence Lifecycle in Communication Networks Shih-Kai Chou Jernej Hribar William Alberto Cruz Castañeda M. Mohorčič Carolina Fortuna 50 1 0 01 Aug 2024
A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks Lina Magoula Nikolaos Koursioumpas Alexandros-Ioannis Thanopoulos Theodora Panagea Nikolaos Petropouleas M. A. Gutierrez-Estevez R. Khalili 14 3 0 25 Jun 2023
Towards Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets Huirong Ma Zhi Zhou Xiaoxi Zhang Xu Chen 18 11 0 22 Apr 2023
Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design Minsu Kim Walid Saad Mohammad Mozaffari Merouane Debbah FedML MQ 23 27 0 19 Jul 2022
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis Hong Xing Osvaldo Simeone Suzhi Bi 42 92 0 29 Jan 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 40 125 0 09 Jan 2021
Can Federated Learning Save The Planet? Xinchi Qiu Titouan Parcollet Daniel J. Beutel Taner Topal Akhil Mathur Nicholas D. Lane 23 78 0 13 Oct 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 760 0 28 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017