Fair Federated Learning under Group-Specific Distributed Concept Drift
Tuesday 24 February 2026
Starts 13:00 PM
Finishes 14:00 PM
Organized by Priberam
Venue: Instituto Superior Técnico, Anfiteatro PA2
Address: 1 Avenida Rovisco Pais
1049-001 Lisboa
About this event
Priberam Machine Learning Lunch Seminar
Abstract:
Machine learning models can become unfair when different groups experience changes in data over time, a phenomenon called group-specific concept drift. This challenge is amplified in Federated Learning, where clients may encounter different drifts while training a shared model. This talk introduces the problem and presents a distributed, group-aware approach that detects and adapts to such drifts, helping maintain fairness in dynamic environments.
Bio:
Teresa Salazar is an ML/NLP Researcher at Priberam, where she conducts applied research on Natural Language Processing in an industrial setting. She holds a B.Sc. in Informatics Engineering from the University of Coimbra (2018), an M.Sc. in Informatics from the University of Edinburgh (2019), and a PhD from the University of Coimbra (2025), where her research focused on fairness in machine learning. In parallel with her industry work, she serves as an Invited Professor at the University of Coimbra.
www.priberam.com
This page last updated Saturday 21 February 2026 at 17:47.
Problems? Report an error or inappropriate listing here.
Information is provided in good faith but we are not responsible for the content of event listings. Sometimes events can be cancelled or changed at short notice. Please check with the venue or organizer before you travel.