1 code implementation • 12 Feb 2024 • Teresa Salazar, João Gama, Helder Araújo, Pedro Henriques Abreu
In the evolving field of machine learning, ensuring fairness has become a critical concern, prompting the development of algorithms designed to mitigate discriminatory outcomes in decision-making processes.
1 code implementation • 27 Sep 2022 • Teresa Salazar, Miguel Fernandes, Helder Araujo, Pedro Henriques Abreu
While fairness-aware machine learning algorithms have been receiving increasing attention, the focus has been on centralized machine learning, leaving decentralized methods underexplored.
1 code implementation • IEEE Access 2021 • Teresa Salazar, Miriam Seoane Santos, Helder Araújo, Pedro Henriques Abreu
We categorize different types of datapoints according to their local neighbourhood with respect to the sensitive attributes, identifying which are more difficult to learn by the classifiers.