Understanding Trajectory Heterogeneity in Federated World Model Learning

Dataset Analysis

This paper benchmarks federated world model learning for cross-time clinical prediction on MIMIC-IV, revealing trajectory coverage limits and algorithm heterogeneity across disease cohorts.