Differentially Private Federated Bayesian Optimization with Distributed\n Exploration

Bayesian optimization (BO) has recently been extended to the federated\nlearning (FL) setting by the federated Thompson sampling (FTS) algorithm, which\nhas promising applications such as federated hyperparameter tuning. However,\nFTS is not equipped with a rigorous privacy guarantee which is an imp... View More