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FedML

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning.

Our verdict

Not reviewed yet

We have not reviewed FedML 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.

How we review records

From the listing

About FedML

FedML is an open-source Python library for large-scale distributed training, model serving, and federated learning. It includes FedML Launch, a cross-cloud scheduler that runs AI jobs across GPU clouds or on-premise clusters. The library forms the foundation of the commercial TensorOpera AI platform.

Best for

ML engineers and researchers who need a unified framework for distributed training, serving, or federated learning across multiple cloud and on-premises environments

Use cases

  • Distributing training of large neural networks across multiple GPUs or nodes
  • Deploying models with low-latency serving across cloud and edge infrastructure
  • Running federated learning experiments with data distributed across silos

Notes

4,045 stars on GitHub. Last updated 2025-10-28. Licensed Apache-2.0.

Pros

  • Covers a broad range of ML workloads (training, serving, federated learning) in one library
  • Cross-cloud scheduler reduces vendor lock-in for infrastructure
  • Active open-source community with over 4,000 GitHub stars

Cons

  • Steep learning curve due to the complexity of distributed and federated setups
  • Documentation and examples may lag behind the rapid pace of development
  • Some advanced features require the commercial TensorOpera platform

Key facts

What we have checked

Latest version
0.8.9 (released 28 Oct 2023)
Checked GitHub
GitHub stars
4,064
Checked github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438

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 FedML is growing

GitHub stars

4,045 to 4,064

stars. 12 July 2026 to 26 Sept 2026, 2 readings.

Source: github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438. Checked .

Sources

Where this comes from

  • GitHubOfficial

    Checked · Latest version

  • github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry

    Checked · GitHub stars

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

  1. Released 0.8.9

    Source: GitHub

  2. Released 0.8.7

    Source: GitHub

  3. Released 0.8.4

    Source: GitHub

  4. Released 0.8.3

    Source: GitHub

  5. Released 0.8.2

    Source: GitHub

  6. Released 0.8.0

    Source: GitHub

  7. Released fedml_v0.6_before_fundraising

    Source: GitHub

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