For federated private functional mean estimation, the paper derives minimax rates under common and independent designs, showing independent designs reduce the privacy cost when privacy binds.
Op- timal rates for nonparametric density estimation under communication constraints
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Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints
For federated private functional mean estimation, the paper derives minimax rates under common and independent designs, showing independent designs reduce the privacy cost when privacy binds.