FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning.
Xianjie GuoKui YuLin LiuJiuyong LiPublished in: AAAI (2024)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- markov blanket
- conditional independence
- parameter learning
- bayesian network structure learning
- bayesian network classifiers
- transfer learning
- parameter estimation
- probability distribution
- causal relationships
- probabilistic model
- markov logic networks
- conditional probabilities
- markov networks
- data sets
- network structure
- belief propagation
- directed acyclic graph
- causal models
- training set