Collaborative causal inference on distributed data. (arXiv:2208.07898v1 [stat.ME])

The development of technologies for causal inference with the privacy
preservation of distributed data has attracted considerable attention in recent
years. To address this issue, we propose a quasi-experiment based on data
collaboration (DC-QE) that enables causal inference from distributed data with
privacy preservation. Our method preserves the privacy of private data by
sharing only dimensionality-reduced intermediate representations, which are
individually constructed by each party. Moreover, our method can reduce both
random errors and biases, whereas existing methods can only …

arxiv causal inference collaborative data distributed distributed data inference