模型与基础设施·arxiv.org
A Survey on Federated Causal Discovery and Inference
目标用户 · researcher / analyst
阅读原文 ↗A Survey on Federated Causal Discovery and Inference: arXiv:2606.23741v1 Announce Type: new Abstract: Causal reasoning, which encompasses the discovery of causal structures and the inference of causal effects, is fundamental to data-driven decision making. In practice, data
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痛点信号
- in practice, data for reliable causal analysis are often distributed across institutions and cannot be centralized due to privacy regulations or communication constraints.
- we further examine key practical dimensions, including temporal dynamics, data heterogeneity, missing data, and non-identical variable sets.
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