AI RESEARCH
Differentially Private and Federated Structure Learning in Bayesian Networks
arXiv CS.LG
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ArXi:2512.01708v2 Announce Type: replace-cross Learning the structure of a Bayesian network from decentralized data poses two major challenges: (i) ensuring rigorous privacy guarantees for participants, and (ii) avoiding communication costs that scale poorly with dimensionality. In this work, we