2026
Federated Causal Inference on Multi-Site Observational Data via Propensity Score Aggregation
ICML 2026poster
Causal inference typically assumes centralized access to individual-level data. Yet, in practice, data are often decentralized across multiple sites, making centralization infeasible due to privacy, logistical, or legal constraints. We address this problem by estimating the Average Treatment Effect …