tf_privacy.compute_rdp_tree_restart

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Computes RDP of the Tree Aggregation Protocol for Gaussian Mechanism.

tf_privacy.compute_rdp_tree_restart(
    noise_multiplier: float,
    steps_list: Union[int, Collection[int]],
    orders: Union[float, Collection[float]]
) -> Union[float, Collection[float]]

This function implements the accounting when the tree is restarted at every epoch. See appendix D of "Practical and Private (Deep) Learning without Sampling or Shuffling" https://arxiv.org/abs/2103.00039

noise_multiplier A non-negative float representing the ratio of the standard deviation of the Gaussian noise to the l2-sensitivity of a single contribution (a leaf node), which is usually set in TreeCumulativeSumQuery and TreeResidualSumQuery from dp_query.tree_aggregation_query.
steps_list A scalar or a list of non-negative intergers representing the number of steps per epoch (between two restarts).
orders An array (or a scalar) of RDP orders.

The RDPs at all orders. Can be np.inf.