Maria Teresa Salazar Muge
AuthID: R-001-Y02
1
TITLE: A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research
AUTHORS: Teresa Salazar; Helder Araújo; Alberto Cano; Pedro Henriques Abreu ;
PUBLISHED: 2024, SOURCE: CoRR, VOLUME: abs/2410.03855
AUTHORS: Teresa Salazar; Helder Araújo; Alberto Cano; Pedro Henriques Abreu ;
PUBLISHED: 2024, SOURCE: CoRR, VOLUME: abs/2410.03855
INDEXED IN: 
DBLP
DBLP2
TITLE: FAIR-FATE: Fair Federated Learning with Momentum
AUTHORS: Teresa Salazar; Miguel Fernandes; Helder Araújo; Pedro Henriques Abreu ;
PUBLISHED: 2023, SOURCE: Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part I, VOLUME: 14073
AUTHORS: Teresa Salazar; Miguel Fernandes; Helder Araújo; Pedro Henriques Abreu ;
PUBLISHED: 2023, SOURCE: Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part I, VOLUME: 14073
INDEXED IN: DBLP
DBLP3
TITLE: FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive Attributes
AUTHORS: Teresa Salazar; Miriam Seoane Santos ; Helder Araújo; Pedro Henriques Abreu ;
PUBLISHED: 2021, SOURCE: IEEE Access, VOLUME: 9
AUTHORS: Teresa Salazar; Miriam Seoane Santos ; Helder Araújo; Pedro Henriques Abreu ;
PUBLISHED: 2021, SOURCE: IEEE Access, VOLUME: 9
INDEXED IN: DBLP
DBLP