2 papers
cs.LG2026
FedRef: Bayesian Fine-Tuning using a Reference Model to Mitigate Catastrophic Forgetting for Heterogeneous Federated Learning
Taehwan Yoon, Bongjun Choi, Wesley De Neve
Federated learning (FL) enables collaborative model training across distributed clients while preserving data privacy. However, data and system heterogeneity often cause catastroph…
eess.IV2025
AMRG: Extend Vision Language Models for Automatic Mammography Report Generation
Nak-Jun Sung, Donghyun Lee, Bo Hwa Choi +1
Mammography report generation is a critical yet underexplored task in medical AI, characterized by challenges such as multiview image reasoning, high-resolution visual cues, and un…