Home/Model Training/tensorflow-federated

tensorflow-federated

google-parfait/tensorflow-federated

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

GitHub

GraphCanon updated Oct 3, 2026 · GitHub synced Oct 3, 2026

46views this month

2.5k stars605 forksLast push Oct 1, 2026 Python Apache-2.0

Decision brief

TensorFlow Federated enables decentralized machine learning and computations without sharing raw data.

Good fit when

If you need to develop federated learning algorithms that can train models across multiple devices or servers while keeping the training data distributed and secure.
When your project involves collaborating with multiple parties who hold sensitive data and cannot share it due to privacy concerns but wish to contribute to a common model.

Avoid when

Avoid if you require centralized data for your learning models, as TensorFlow Federated's strength lies in its capabilities to maintain decentralized datasets.
If real-time computation or very low latency requirements are critical to your project; the nature of federated learning involves significant overhead and does not perform well in such scenarios.

Observed Jul 17, 2026 · Source: enrich:decision_facts

tensorflow-federated alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Very active (1d since push); As of Oct 3, 2026
Provenance: Not a fork · Organization account; As of Oct 3, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install tensorflow-federated

PyPI

How it fits your stack(1)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Integrates

tensorflow

TensorFlow Federated builds upon or integrates with TensorFlow for decentralized machine learning tasks, expanding the scope of use cases beyond what can be done using TensorFlow alone.

integrates

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

flower

A Friendly Federated AI Framework

7.2k★

FATE

An Industrial Grade Federated Learning Framework

6.1k★

AI-Infra-from-Zero-to-Hero

Awesome System for Machine Learning and LLM Infra

4.3k★

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

TensorFlow Federated is an open-source project by Google that provides tools to develop Federated Learning algorithms.

Capability facts

Languages: python
Source: github.language+pyproject.toml · Oct 3, 2026

README

Installation See the install documentation for instructions on how to install TensorFlow Federated as a package or build TensorFlow Federated from source. Getting Started See the get started documentation for instructions on how to use TensorFlow Federated.

For agents

This page has a .md twin and JSON over the API.

/tools/google-parfait-tensorflow-federated.md GET /api/graphcanon/tools/google-parfait-tensorflow-federated GET /api/graphcanon/graph?tool=google-parfait-tensorflow-federated