privacy
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Library for training machine learning models with privacy for training data
Adds DP-FTRL via tree aggregation optimizer `DPFTRLTreeAggregationOptimizer`. Includes renaming of `frequency` parameter in restart_query.py to `period` to more more accurately reflect its purpose.
Changes `DPOptimizerClass` to generically accept and use any `dp_sum_query`. This enables creation of generic DPOptimizers by user's passing queries. The most common Gaussian query is automatically performed for convenience and...
Consolidated CL for Kokoro test
Update pinned commit of dp-accounting library.
When I install tensorflow-federated I end up with incompatible builds of numpy and pandas. Here's the main error from the stacktrace (full stack trace below). ``` from pandas._libs.interval import Interval...
Hello Community, I'm currently working on a project which requires me to include differential privacy. While I try to implement it using tf privacy, I become an error message: `...
When I try to run code for dplstm in tutorial, I can not find the dataset, I think my tf and corresponding tf_dataset is up to date. I am beginner...
Modify build file visibility
Update TFPs `dp_accounting` dependency.
Supports DP optimizers