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2206.10380
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An Energy and Carbon Footprint Analysis of Distributed and Federated Learning
21 June 2022
S. Savazzi
V. Rampa
Sanaz Kianoush
M. Bennis
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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
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