Open Source
TensorFlow Federated
An open-source framework for machine learning and other computations on decentralized data.
Our verdict
We have not reviewed TensorFlow Federated yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About TensorFlow Federated
TensorFlow Federated is an open-source framework for machine learning on decentralized data. It enables developers to train models across distributed devices or servers without centralizing raw data, using a federated learning approach. The framework provides building blocks for simulating and deploying federated computations in Python.
Best for
Researchers and engineers building privacy-preserving distributed ML systems
Use cases
- Train a shared model across mobile devices without collecting user data centrally
- Simulate federated learning experiments on local or distributed datasets
- Build privacy-preserving applications that compute aggregates over decentralized data
Notes
2,440 stars on GitHub. Last updated 2026-05-28. Licensed Apache-2.0.
Pros
- Backed by TensorFlow ecosystem with strong community support (2,400+ stars)
- Enforces data locality, improving privacy and reducing data transfer costs
- Flexible API for custom federated algorithms and aggregations
Cons
- Steep learning curve due to federated programming model and TensorFlow dependencies
- Limited tooling for production deployment outside simulation environments
- Performance overhead from distributed communication and aggregation rounds
Key facts
What we have checked
- Latest version
- 0.88.0 (released 26 Sept 2024)
- Days since the last commit
- 2
- GitHub forks
- 605
- GitHub stars
- 2,453
- Releases in the last 90 days
- 0
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How TensorFlow Federated is growing
2,440 to 2,453
Health and security
Is TensorFlow Federated looked after, and what do its setup files show
Health score
75 out of 100
| Part | Points | What we saw |
|---|---|---|
| Recent activity | 30 of 30 | Last push 2 days ago |
| Releases | 0 of 15 | 0 releases in 90 days |
| Issue replies | Not counted | The latest check has no issue response reading (fewer than 3 measured issues, or issues switched off) |
| Maintainer | 15 of 15 | Owned by an organisation |
| Official source | Not counted | MCP servers only |
Sources
Where this comes from
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Released 0.88.0
Released 0.87.0
Released 0.86.0
Released 0.85.0
Released 0.84.0
Released 0.83.0
Released 0.82.0
Released 0.81.0
Released 0.80.0
Released 0.79.0
Pairs with
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