Distributed Causal Discovery and Inference Engine

Develop a scalable causal inference framework capable of handling large-scale, distributed datasets with potential hidden confounders. Implement advanced causal discovery algorithms like PC algorithm, Fast Causal Inference, and constraint-based methods. Design a distributed computing architecture that can handle complex causal graph inference across multiple data sources while maintaining computational efficiency.