<commit_before># SIG Federated

## Objective

[TensorFlow Federated (TFF)](http://tensorflow.org/federated) is an OSS platform based on TensorFlow for machine learning and other computations on decentralized data. TFF is [hosted on GitHub](https://github.com/tensorflow/federated) and available to OSS and industry contributors and potential [platform collaborators](https://github.com/tensorflow/federated/tree/main/docs/collaborations).

We would like to build and cultivate a center of gravity around TFF, where partners from outside Google can contribute to growing the TFF platform and the surrounding ecosystem, and help us grow use of TFF and [Federated Learning](https://ai.googleblog.com/2017/04/federated-learning-collaborative.html) in the industry.

SIG Federated will focus on jointly evolving TFF as a platform and ecosystem by Google and a small number of committed platform partners.

We will capture here conversations about creation of new workstreams, project scoping, planning, logistics, and design, new product and development roadmaps jointly developed with partners, and discussions about components maintained by community contributors.

These conversations will be open to and publicly accessible by all interested parties at a SIG discussion forum hosted at [discuss.tensorflow.org](https://discuss.tensorflow.org/c/special-interest-groups).

### Goals

*   Open up the TFF platform to collaborations with industry and OSS community partners
*   Develop within the TFF ecosystem new features, platforms, and products to support all flavors of Federated Learning (FL) deployments, including cross-silo and cross-device FL
*   Promote industry uses of FL and associated technologies, and normalize the FL-based approach to privacy through TFF
*   Exploit complementary capabilities and synergies between TFF and other FL platforms, and develop mechanisms for interoperability
*   Bootstrap joint development of shared FL standards, APIs, and best practices in TFF

## Membership

Everyone involved in developing or integrating with TensorFlow Federated (TFF) is welcome to participate in discussions. To participate, request an invitation to [the SIG Federated forum on discuss.tensorflow.org], and email tff-hello at google dot com to introduce yourself and tell us a few words about how you would like to contribute to the TFF ecosystem.

The following organizations have agreed to participate in discussions and provide resources allowing the SIG to reach its goals:

*   LinkedIn<commit_msg>Adds OpenMined to the list of participants of SIG Federated.<commit_after># SIG Federated

## Objective

[TensorFlow Federated (TFF)](http://tensorflow.org/federated) is an OSS platform based on TensorFlow for machine learning and other computations on decentralized data. TFF is [hosted on GitHub](https://github.com/tensorflow/federated) and available to OSS and industry contributors and potential [platform collaborators](https://github.com/tensorflow/federated/tree/main/docs/collaborations).

We would like to build and cultivate a center of gravity around TFF, where partners from outside Google can contribute to growing the TFF platform and the surrounding ecosystem, and help us grow use of TFF and [Federated Learning](https://ai.googleblog.com/2017/04/federated-learning-collaborative.html) in the industry.

SIG Federated will focus on jointly evolving TFF as a platform and ecosystem by Google and a small number of committed platform partners.

We will capture here conversations about creation of new workstreams, project scoping, planning, logistics, and design, new product and development roadmaps jointly developed with partners, and discussions about components maintained by community contributors.

These conversations will be open to and publicly accessible by all interested parties at a SIG discussion forum hosted at [discuss.tensorflow.org](https://discuss.tensorflow.org/c/special-interest-groups).

### Goals

*   Open up the TFF platform to collaborations with industry and OSS community partners
*   Develop within the TFF ecosystem new features, platforms, and products to support all flavors of Federated Learning (FL) deployments, including cross-silo and cross-device FL
*   Promote industry uses of FL and associated technologies, and normalize the FL-based approach to privacy through TFF
*   Exploit complementary capabilities and synergies between TFF and other FL platforms, and develop mechanisms for interoperability
*   Bootstrap joint development of shared FL standards, APIs, and best practices in TFF

## Membership

Everyone involved in developing or integrating with TensorFlow Federated (TFF) is welcome to participate in discussions. To participate, request an invitation to [the SIG Federated forum on discuss.tensorflow.org], and email tff-hello at google dot com to introduce yourself and tell us a few words about how you would like to contribute to the TFF ecosystem.

The following organizations have agreed to participate in discussions and provide resources allowing the SIG to reach its goals:

*   LinkedIn
*   OpenMined
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