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A framework for implementing federated learning

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Adds an entropy-based compression algorithm for compressing client updates (as detailed in https://arxiv.org/abs/2201.02664) to tff.learning, as well as an aggregator for encoding client updates using the run_length_gamma_encode op hosted in...

* tensorflow/federated#3109 indicates that Python 3.10 is required to avoid various import errors. * Update the documentation to indicate this. * https://github.com/tensorflow/federated/issues/3109

This is the error it is showing. ![image](https://user-images.githubusercontent.com/61599939/180654888-dbc1d25e-ffc0-4720-b8a6-963324c792de.png) Though I have tried loading the kernel multiple times, but still I am getting the same error.

Attempting to add components to TF Executor + Backend test which were deemed too difficult with dynamic build.

Some changes for testing TFF-C++ via gRPC in OSS. 1. Moves C++ build to static. 2. Re-enables data dep from Python to CC for backends_test.

**Describe the bug** In the Custom Federated Algorithms, Part 2: Implementing Federated Averaging tutorial that is implemented in the Colab notebook [colab](https://colab.research.google.com/github/tensorflow/federated/blob/v0.23.0/docs/tutorials/custom_federated_algorithms_2.ipynb) we execute at the beginning the following code:...

bug

**Is your feature request related to a problem? Please describe.** I am recently doing a research project based on TFF, which uses ResNet for image classification. Due to the model's...

enhancement

When I try to increase the train_clients_per_round ,there is an error is that database is locked.I then individually tested the clients with each error and found that they were accessible....

bug