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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Xi Cheng

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Book Open access Aug 2026

Federated Nonlinear Causal Discovery via Divide-and-Conquer Learning

Federated causal discovery aims to learn causal structures from distributed data without sharing raw samples. Existing federated nonlinear methods adopt a monolithic global strategy that optimizes the entire graph simultaneously, suffering from catastrophic error propagation: a single misidentified edge cascades throug...

Xianjie Guo, Shuai Yang, Lin Ma et al. · 0 citations
Book Open access Aug 2026

Federated Nonlinear Causal Discovery via Divide-and-Conquer Learning

DC-FNCD (Divide-and-Conquer based Federated Nonlinear Causal Discovery) is proposed, which decomposes the global problem into independent per-variable neighborhood learning tasks, enabling lossless federated aggregation without raw data exchange.

Xianjie Guo, Shuai Yang, Lin Ma et al. · 0 citations

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