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Graph-Enabled Efficient Federated Bayesian Modeling
Federated Bayesian modeling requires combining evidence across distributed data holders while preserving posterior uncertainty and keeping local data decentralized. We propose Federated Latent Graph MCMC (FLaG-MCMC), a framework for sequential posterior transfer in which accumulated posterior inform
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