Adds FedJax note to the TFF FAQ.
@@ -47,3 +47,17 @@ calling `sess.run` on the output tensor repeatedly within the same session.
See the [README](../README.md) and
[guidelines for contributors](../CONTRIBUTING.md).
+
+## What is the relationship between FedJAX and TensorFlow Federated?
+
+TensorFlow Federated (TFF) is a full-fledged framework for federated learning
+that is designed to facilitate composing different algorithms and features, and
+to enable porting code across different simulation and deployment scenarios. TFF
+provides a scalable runtime and supports several privacy, compression
+algorithms, and optimizers, as outlined in
+https://www.tensorflow.org/federated/tff_for_research. In contrast,
+[FedJAX](https://github.com/google/fedjax) is a lightweight Python- and
+JAX-based simulation library that focuses on ease of use and rapid prototyping
+of federated learning algorithms for research purposes. TensorFlow Federated and
+FedJAX are developed as separate projects, without expectation of code
+portability.
