Announcement_22_distillation_tmlr

Aida Mohammadshahi’s work on “What’s Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias” (Mohammadshahi & Ioannou, 2025) has been accepted to the Transactions of Machine Learning Research (TMLR). This work investigates the impact of distillation on the bias and fairness of decisions made by distilled student models, providing valuable insights into the trade-offs involved in this widely used technique.