74 citations · 169 across the 17 of their papers we have counts for
5 papers · 1 filter
Impact of ML Optimization Tactics on Greener Pre-Trained ML Models
Alexandra González Álvarez, Joel Castaño, Xavier Franch +1
Background: Given the fast-paced nature of today's technology, which has surpassed human performance in tasks like image classification, visual reasoning, and English understanding…
Identifying architectural design decisions for achieving green ML serving
Francisco Durán, Silverio Martínez-Fernández, Matias Martinez +1
The growing use of large machine learning models highlights concerns about their increasing computational demands. While the energy consumption of their training phase has received…
Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study
Joel Castaño, Silverio Martínez-Fernández, Xavier Franch +1
The rise of machine learning (ML) systems has exacerbated their carbon footprint due to increased capabilities and model sizes. However, there is scarce knowledge on how the carbon…
Which Design Decisions in AI-enabled Mobile Applications Contribute to Greener AI?
Roger Creus Castanyer, Silverio Martínez-Fernández, Xavier Franch
Background: The construction, evolution and usage of complex artificial intelligence (AI) models demand expensive computational resources. While currently available high-performanc…
Integration of Convolutional Neural Networks in Mobile Applications
Roger Creus Castanyer, Silverio Martínez-Fernández, Xavier Franch
When building Deep Learning (DL) models, data scientists and software engineers manage the trade-off between their accuracy, or any other suitable success criteria, and their compl…