[StageM2+PhD] Leveraging Domain Adaptation in Unsupervised Federated Learning
Duration: 6 monthsStart date: From February or March 2026Level: Master’s degree (M2 or equivalent) in Applied Mathematics, Computer ScienceAllowance: According to current French regulations (approximately €630/month)Location: LITIS, University of Rouen Normandy, Rouen, FranceKeywords: Federated Learning, Source-Free Domain Adaptation, Class Imbalance, Unsupervised Learning Context Federated learning (FL) enables models to learn from distributed datasets across diverse clients…



