Data-Centric Green AI: An Exploratory Empirical Study

Data-Centric Green AI: An Exploratory Empirical Study

6 April 2022

Roberto Verdecchia

James Wickenden

Estelle Hotellier

Papers citing "Data-Centric Green AI: An Exploratory Empirical Study"

17 / 17 papers shown

Title
HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps Hiya Bhatt Shaunak Biswas Srinivasan Rakhunathan Karthik Vaidhyanathan AI4CE 9 0 0 19 May 2025
EDCA - An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines Joana Simões João Correia 224 0 0 06 Mar 2025
How green is continual learning, really? Analyzing the energy consumption in continual training of vision foundation models Tomaso Trinci Simone Magistri Roberto Verdecchia Andrew D. Bagdanov CLL 45 0 0 27 Sep 2024
The More the Merrier? Navigating Accuracy vs. Energy Efficiency Design Trade-Offs in Ensemble Learning Systems Rafiullah Omar Justus Bogner H. Muccini Patricia Lago Silverio Martínez-Fernández Xavier Franch 37 1 0 03 Jul 2024
Innovating for Tomorrow: The Convergence of SE and Green AI Luís Cruz Xavier Franch Gutierrez Silverio Martínez-Fernández 31 4 0 26 Jun 2024
How to Sustainably Monitor ML-Enabled Systems? Accuracy and Energy Efficiency Tradeoffs in Concept Drift Detection Rafiullah Omar Justus Bogner J. Leest Vincenzo Stoico Patricia Lago H. Muccini 30 1 0 30 Apr 2024
An In-Depth Analysis of Data Reduction Methods for Sustainable Deep Learning Víctor Toscano-Durán Javier Perera-Lago Eduardo Paluzo-Hidalgo Rocio Gonzalez-Diaz Miguel A. Gutiérrez-Naranjo Matteo Rucco 32 1 0 22 Mar 2024
Green AI: A Preliminary Empirical Study on Energy Consumption in DL Models Across Different Runtime Infrastructures Negar Alizadeh Fernando Castor 49 12 0 21 Feb 2024
Training Green AI Models Using Elite Samples Mohammed Alswaitti Roberto Verdecchia Grégoire Danoy Pascal Bouvry Johnatan E. Pecero 31 2 0 19 Feb 2024
A Synthesis of Green Architectural Tactics for ML-Enabled Systems Heli Järvenpää Patricia Lago Justus Bogner Grace A. Lewis H. Muccini Ipek Ozkaya 49 20 0 15 Dec 2023
An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code Max Hort Anastasiia Grishina Leon Moonen 18 2 0 05 Jul 2023
A Comparative Study of Machine Learning Algorithms for Anomaly Detection in Industrial Environments: Performance and Environmental Impact Álvaro Huertas-García Carlos Martí-González Rubén García Maezo Alejandro Echeverría Rey 29 3 0 01 Jul 2023
Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study Joel Castaño Silverio Martínez-Fernández Xavier Franch Justus Bogner CVBM 24 33 0 18 May 2023
Energy cost and machine learning accuracy impact of k-anonymisation and synthetic data techniques Pepijn de Reus Ana Oprescu Koen van Elsen 14 3 0 11 May 2023
Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI Tim Yarally Luís Cruz Daniel Feitosa June Sallou A. V. Deursen 20 22 0 24 Mar 2023
A Systematic Review of Green AI Roberto Verdecchia June Sallou Luís Cruz 19 150 0 26 Jan 2023
Dataset Condensation with Differentiable Siamese Augmentation Bo Zhao Hakan Bilen DD 205 291 0 16 Feb 2021