PiperOrigin-RevId: 394327712

Adding implementations of private heavy hitters with invertible Invertible Bloom Lookup Tables (IBLT).

PiperOrigin-RevId: 394247532

PiperOrigin-RevId: 392078655

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Changes:
(1) Replaces the old dp_query `CentralTreeSumQuery` with the updated one `TreeRangeSumQuery`. The updated query has several advantages:
    1) It easily supports different DP mechanisms (e.g. GaussianSumQuery,
    DistributedDiscreteGaussianSumQuery) by taking them as inner queries;
    2) `TreeRangeSumQuery` does not hard-code any clipping inside so it is
    composable with various clipping factories. To avoid DP error, it does norm
   checking inside to make sure appropriate clipping happens outside.
(2) Removes the type conversion from int32 to float32 before return in `discretized_histogram_counts`. Now the function outputs int32 tensors. This change is due to the type requirement of `HistogramClippingSumFactory`.
(3) Updates tff's dependency on tensorflow privacy to 0.7.0.
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Create `python_package_tool` package group to be more clear about the purpose of `__init__.py` visibility.

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https://github.com/tensorflow/tensorflow/blob/v2.5.0/tensorflow/tools/pip_package/setup.py#L130

Fix the nightly package to depend on gRPC 1.37 which was updated recently.

PiperOrigin-RevId: 374208257

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Removes the `tensorflow_addons` dependency in TFF.

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This will replace usages of `tf.keras.utils.get_file()` which only caches the
file download, not the uncompressing of the file.

This picks up a dependency on the `tqdm` module, but we will eventually remove
the dependency on the `h5py` module.

PiperOrigin-RevId: 358224598

This change accounts for the differences between the required versions of `grpcio` and `h5py` by `tf-nightly` and latest released version of `tensorflow`.

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* `grpcio` to version `11.34.0`
* `h5py` to version `3.1.0`

This should fix the TFF Python dependency resolution issues.

PiperOrigin-RevId: 356996247

Jax 0.2.7 and Jaxlib 0.1.58 are incompatible (https://github.com/google/jax/issues/5374); jax released 0.2.8 to fix.

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https://github.com/tensorflow/addons#python-op-compatibility-matrix
https://github.com/tensorflow/addons#c-custom-op-compatibility-matrix

PiperOrigin-RevId: 327536833

Bump `tensorflow-privacy` version from `0.4.0` to `0.5.0`.

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The python function needs to be defined before it is used.

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The zeroing threshold is adapted to a multiple of a specified quantile of the value norm distribution.

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There are a few users to consider:

1. A developer on TFF wants source at HEAD.
2. A researcher using TFF wants pip package at release in 90% of scenarios and sometimes (ideally rarely) wants nightly, but never wants to build a pip package.
3. A developer making a framework using TFF wants pip release and nightly, but never wants to build a pip package.
4. A researcher upstreaming change to TFF basically has moved from #2 to #3.

Fixes: #878
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#845

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#845

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PiperOrigin-RevId: 309828266

Wrap performance changes for simulation ClientData that only work at TensorFlow master in a version check.

Revert to previous behavior if not using TF versin later than 2.3.0 (not released yet).

PiperOrigin-RevId: 307936741