We present a novel framework for causal inference with federated data sources. We assess and integrate local causal effects from different... ... Another trend is the development of FL frameworks...

At the core of the system is a set of lower-level interfaces for concisely expressing novel federated algorithms by combining TensorFlow with distributed communication operators within a strongly-typed functional programming environment.

Sep 30, 2024 · TFF's architecture is organized into two main layers: Federated Learning (FL) API: This high-level interface allows developers to apply federated training and evaluation to existing TensorFlow models. It simplifies the process by providing ready-to-use implementations of federated algorithms.

Jan 4, 2025 · This document introduces interfaces that facilitate federated learning tasks, such as federated training or evaluation with existing machine learning models implemented in TensorFlow.

Jan 15, 2025 · These colab-based tutorials walk you through the main TFF concepts and APIs using practical examples. Reference documentation can be found in the TFF guides.

Mar 6, 2019 · TensorFlow Federated (TFF) is an open source framework for experimenting with machine learning and other computations on decentralized data. It implements an approach called Federated Learning (FL), which enables many participating clients to train shared ML models, while keeping their data locally.

In designing these interfaces, our primary goal was to make it possible to experiment with federated learning without requiring the knowledge of how it works under the hood, and to evaluate the implemented federated learning algorithms on a variety of existing models and data. We encourage you to contribute back to the platform.

Federated Core (FC) API At the core of the system is a set of lower-level interfaces for concisely expressing novel federated algorithms by combining TensorFlow with distributed communication operators within a strongly-typed functional programming environment.

For a more in-depth understanding of TFF and how to implement your own federated learning algorithms, see the tutorials on the FC Core API - Custom Federated Algorithms Part 1 and Part 2.

Apr 24, 2023 · After completing this tutorial, you will know how to train a model using Federated Learning in Python. Firstly, we will briefly recall what Federated Learning is. Then, we will use TensorFlow...