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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Shuai Yang

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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
Open access Jul 2026

Local Causal Structure Learning with Efficient Parents Discovery

A novel local causal structure learning algorithm with Efficient Parents Discovery, named EPD, which starts from discovering the MB of the target variable and then learns the PC sets of undetermined variables, and continues iteratively until the parents and children of the target variable are identified.

Shuai Yang, Xin-Yu Miao, Xianjie Guo 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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