2 papers
cs.LG2025
A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research
Teresa Salazar, Helder Araújo, Alberto Cano +1
Group fairness in machine learning is an important area of research focused on achieving equitable outcomes across different groups defined by sensitive attributes such as race or…
cs.LG2025
Online hierarchical partitioning of the output space in extreme multi-label data stream
Lara Neves, Afonso Lourenço, Alberto Cano +1
Mining data streams with multi-label outputs poses significant challenges due to evolving distributions, high-dimensional label spaces, sparse label occurrences, and complex label…