8 citations · 17 across the 4 of their papers we have counts for
4 papers
Insights into resource utilization of code small language models serving with runtime engines and execution providers
Francisco Durán, Matias Martinez, Patricia Lago +1
The rapid growth of language models, particularly in code generation, requires substantial computational resources, raising concerns about energy consumption and environmental impa…
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…
Towards green AI-based software systems: an architecture-centric approach (GAISSA)
Silverio Martínez-Fernández, Xavier Franch, Francisco Durán
Nowadays, AI-based systems have achieved outstanding results and have outperformed humans in different domains. However, the processes of training AI models and inferring from them…
Guiding the retraining of convolutional neural networks against adversarial inputs
Francisco Durán López, Silverio Martínez-Fernández, Michael Felderer +1
Background: When using deep learning models, there are many possible vulnerabilities and some of the most worrying are the adversarial inputs, which can cause wrong decisions with…