Tensorflow Federated-Learning 是否仅用于在一台机器上模拟联邦学习? [英] Is Tensorflow Federated-Learning only for simulating federated learning on one machine?

问题描述

我阅读了多个关于 https://www.tensorflow.org/federated/federated_learning例如图像分类或文本生成示例.

I read multiple guides on https://www.tensorflow.org/federated/federated_learning e.g. the image classification or text generation example.

从我读到的内容来看，我看不出如何将 tensorflow 联合学习 (tff) 用于现实世界的应用程序:多个硬件客户端上的数据集.这一切看起来只是为了模拟联邦学习.

From what I have read I can not see how to use tensorflow federated-learning (tff) for a real world application: datasets on multiple hardware clients. It all looks like its meant only for simulating federated learning.

我想在多台机器上使用 tff 而不是只在一台机器上模拟它.如果有人知道使用 tff 是否可行或找到有关如何操作的指南，我将不胜感激.

I want to use tff on multiple machines and not simulate it on only one. I would appreciate it when someone knows if it's even possible with tff or found a guide on how to do it.

谢谢.

推荐答案

截至今天，TFF 仅提供用于联邦学习 (FL) 研究的模拟环境.

As of today TFF only provides a simulation environment for use in Federated Learning (FL) research.

支持多机模拟环境的工作正在进行中，但这仍然是正在进行的工作(参见 https://github.com/tensorflow/federated/blob/master/tensorflow_federated/python/core/impl/remote_executor.py)

There is work being done on a supporting multi-machine simulation environment, but this is still ongoing work (see https://github.com/tensorflow/federated/blob/master/tensorflow_federated/python/core/impl/remote_executor.py)

目前还没有一个真实世界"的 FL 部署平台.

There is not yet a "real world" FL deployment platform.

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