Case study: TensorFlow Federated

Here, we will discuss TensorFlow Federated (TFF) as a case study.

TFF is based on TensorFlow and enables TensorFlow to conduct federated learning.

In order to use it, you need to first install it as follows:

# installation
#first step
pip3 install tensorflow
# GPU support
pip3 install tensorflow-gpu
#second step
pip3 install tensorflow_federated

After installing, you can make a function call by importing the libraries you installed as follows:

# To use TensorFlow Federated
# First Step
import tensorflow as tf
# Second Step
import tensorflow_federated as tff

After that, you can start writing code for federated learning using TensorFlow.

In a nutshell, TFF mainly has two-layer APIs as follows:

• Federated Learning APIs
• Federated Core APIs

These two layers are shown as the top two layers in the following figure:

Figure 10.7 – Two-layer (top two) structure of TFF

As shown in the preceding...