google-parfait/tensorflow-federated — An open-source framework for machine learning and other computations on decentralized data.

Description and use

Google‑Parfait’s **TensorFlow Federated** is an open‑source framework that enables developers to build and experiment with machine learning models and other computations across decentralized data sources. It extends TensorFlow to support federated learning, allowing algorithms to be trained locally on edge devices while aggregating updates centrally, which helps preserve privacy and reduce data movement. The library provides high‑level APIs, simulation tools, and reference implementations for a wide range of AI/ML and data‑centric use cases.

Problem

google-parfait/tensorflow-federated may be useful when its README and activity match a concrete workflow.

Outcome

Early or unclear: treat as research material until maintenance, releases, docs, and issue activity are verified.

Evidence

An open-source framework for machine learning and other computations on decentralized data.

Source