Fed-Sparse-BNSL combines differential privacy with sparse greedy updates to learn linear Gaussian Bayesian network structures in a federated setting while keeping communication low and utility close to non-private baselines.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Differentially Private and Federated Structure Learning in Bayesian Networks
Fed-Sparse-BNSL combines differential privacy with sparse greedy updates to learn linear Gaussian Bayesian network structures in a federated setting while keeping communication low and utility close to non-private baselines.