2 papers
cs.AI2026
ProCARE: Real-World Study Automation via Profile-Grounded Evidence Contracts
Zhaoyu Fan, Bowen Han, Jincheng Ou +8
Real-world studies (RWS) analyze routinely collected healthcare data, such as electronic health records and insurance claims, to estimate treatment effects, monitor safety, and ide…
cs.LG2025
FedPURIN: Programmed Update and Reduced INformation for Sparse Personalized Federated Learning
Lunchen Xie, Zehua He, Qingjiang Shi
Personalized Federated Learning (PFL) has emerged as a critical research frontier addressing data heterogeneity issue across distributed clients. Novel model architectures and coll…