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Retire TF-privacy MNIST example #2725

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Retire TF-privacy MNIST example #2725

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jafermarq Dec 19, 2023
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Merge branch 'main' into retire-tf-privacy-example
tanertopal Dec 20, 2023
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Merge branch 'main' into retire-tf-privacy-example
jafermarq Dec 26, 2023
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2 changes: 2 additions & 0 deletions doc/source/ref-changelog.md
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- **Retiring MXNet examples** The development of the MXNet fremework has ended and the project is now [archived on GitHub](https://github.com/apache/mxnet). Existing MXNet examples won't receive updates [#2724](https://github.com/adap/flower/pull/2724)

- **Deprecating TF-privacy example** We are bring a Flower-native way of adding DP and other PET to your FL settings. This example will be updated accordintly soon ([#2725](https://github.com/adap/flower/pull/2725))

- **Update Flower Baselines**

- HFedXGBoost [#2226](https://github.com/adap/flower/pull/2226)
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2 changes: 2 additions & 0 deletions examples/dp-sgd-mnist/README.md
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# Flower Example Using Tensorflow/Keras and Tensorflow Privacy

> This example is deprecated. It will soon be replaced with a Flower-native way of adding DP to FL experiments.

This example of Flower trains a federeated learning system where clients are free to choose
between non-private and private optimizers. Specifically, clients can choose to train Keras models using the standard SGD optimizer or __Differentially Private__ SGD (DPSGD) from [Tensorflow Privacy](https://github.com/tensorflow/privacy). For this task we use the MNIST dataset which is split artificially among clients. This causes the dataset to be i.i.d. The clients using DPSGD track the amount of privacy spent and display it at the end of the training.

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