Thesis of Xuanzhe Xia
Subject:
Privacy and Fairness in Federated Learning for Digital Health
Start date: 27/10/2025
End date (estimated): 27/10/2028
Advisor: Sara Bouchenak
Summary:
Federated Learning (FL) allows better privacy-preserving machine learning for edge computing systems. for a novel multi-objective approach for FL fairness and protection against privacy threats.