diff --git a/tensorflow_privacy/privacy/analysis/tree_aggregation_accountant.py b/tensorflow_privacy/privacy/analysis/tree_aggregation_accountant.py index 5b3325c..fa807e1 100644 --- a/tensorflow_privacy/privacy/analysis/tree_aggregation_accountant.py +++ b/tensorflow_privacy/privacy/analysis/tree_aggregation_accountant.py @@ -99,8 +99,8 @@ def compute_rdp_tree_restart( Args: noise_multiplier: A non-negative float representing the ratio of the - standard deviation of the Gaussian noise to the l2-sensitivity of the - function to which it is added, which is usually set in + 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 @@ -292,8 +292,8 @@ def compute_rdp_single_tree( Args: noise_multiplier: A non-negative float representing the ratio of the - standard deviation of the Gaussian noise to the l2-sensitivity of the - function to which it is added, which is usually set in + 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`. total_steps: Total number of steps (leaf nodes in tree aggregation). @@ -354,8 +354,8 @@ def compute_zcdp_single_tree( Args: noise_multiplier: A non-negative float representing the ratio of the - standard deviation of the Gaussian noise to the l2-sensitivity of the - function to which it is added, which is usually set in + 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`. total_steps: Total number of steps (leaf nodes in tree aggregation).