# Federated Machine Learning

**URL:** https://community.openconversational.ai/t/federated-machine-learning/6634
**Category:** Archive - Machine Learning
**Created:** [May 24, 2019, 2:11pm UTC](https://community.openconversational.ai/t/federated-machine-learning/6634 "2019-05-24T14:11:49Z")
**Posts on this page:** 1
**Page:** 1

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### Author: ![FruityWelsh](https://community.openconversational.ai/user_avatar/community.openconversational.ai/fruitywelsh/32/1744_2.png) [@FruityWelsh](https://community.openconversational.ai/u/FruityWelsh)
#### Post date: [May 24, 2019, 2:11pm UTC](https://community.openconversational.ai/t/federated-machine-learning/6634/1 "2019-05-24T14:11:49Z")

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I am curious on what others thought are on using a federated model to further increase privacy for those willing to share their data. I have heard mized sentiment on weather sharing trained model data vs raw data is that different in the privacy aspect, but in terms of simplicity of training it seems fantastic (for the end user).

More reading on the concept:

> **[Federated Learning: The Future of Distributed Machine Learning](https://medium.com/syncedreview/federated-learning-the-future-of-distributed-machine-learning-eec95242d897)**
>
> The Google paper also addresses various FL challenges, solutions and future prospects.

  

> **[Introducing TensorFlow Federated](https://medium.com/tensorflow/introducing-tensorflow-federated-a4147aa20041)**
>
> Posted by Alex Ingerman (Product Manager) and Krzys Ostrowski (Research Scientist)

  
Part of Googles best practice documention for Tensor flow federated learning:  
[https://www.tensorflow.org/federated/federated\_learning](https://www.tensorflow.org/federated/federated_learning)