3 papers
cs.SE2025
A Systematic Mapping on Software Fairness: Focus, Trends and Industrial Context
Kessia Nepomuceno, Fabio Petrillo
Context: Fairness in systems has emerged as a critical concern in software engineering, garnering increasing attention as the field has advanced in recent years. While several guid…
cs.DC2025
Cost-Performance Analysis: A Comparative Study of CPU-Based Serverless and GPU-Based Training Architectures
Amine Barrak, Fabio Petrillo, Fehmi Jaafar
The field of distributed machine learning (ML) faces increasing demands for scalable and cost-effective training solutions, particularly in the context of large, complex models. Se…
cs.CY2025
The AI Fairness Myth: A Position Paper on Context-Aware Bias
Kessia Nepomuceno, Fabio Petrillo
Defining fairness in AI remains a persistent challenge, largely due to its deeply context-dependent nature and the lack of a universal definition. While numerous mathematical formu…