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FedML-AI/FedML

FedML

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

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Builder

FedML-AI

FedML-AI

FedML-AI • individual

Stars

4,044

Using upstream star count

Forks

768

Using upstream fork count

Open Issues

0

Activity Score

0/100

0 commits in 30d

Created

Jul 21, 2020

Project creation date

README Summary

FEDML Open Source: A Unified and Scalable Machine Learning Library for Running Training and Deployment Anywhere at Any Scale

Community Evaluation

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AI Dev Skills

Unmapped

Cross-Cloud ComputingDecentralized AI SystemsDistributed Machine LearningEdge Computing for MLFederated LearningGPU Cluster ManagementHeterogeneous ComputingLarge-Scale Training InfrastructureMLOps and Model Lifecycle ManagementModel Serving and DeploymentMulti-Party ComputationPrivacy-Preserving Machine Learning

Tags

Cross-Cloud ComputingDecentralized AI SystemsDistributed Machine LearningEdge Computing for MLFederated LearningGPU Cluster ManagementHeterogeneous ComputingLarge-Scale Training InfrastructureMLOps and Model Lifecycle ManagementModel Serving and DeploymentMulti-Party ComputationPrivacy-Preserving Machine LearningForkedLLM ServingMLOpsMachine LearningOpen SourcePrivacyPrivacy-Preserving AIVector Database

Taxonomy

AI Trends

Federated LearningPrivacy-Preserving AIEdge AIDistributed AI SystemsMLOpsCross-Cloud Computing

category

RAG & RetrievalInference & ServingMLOps & InfrastructureLearning ResourcesSecurity & Safety

Deployment Context

Cloud APISelf-hostedEdge/MobileOn-premiseMulti-CloudHybrid Cloud

Industries

HealthcareFinancial ServicesTelecommunicationsIoT and Edge ComputingGovernment and DefenseManufacturing

Modalities

TextImageTabularTime SeriesMultimodal

Skill Areas

Federated LearningDistributed Machine LearningCross-Cloud ComputingModel Serving and DeploymentLarge-Scale Training InfrastructurePrivacy-Preserving Machine LearningMulti-Party ComputationEdge Computing for MLDecentralized AI SystemsHeterogeneous ComputingMLOps and Model Lifecycle ManagementGPU Cluster Management

tag

ForkedLLM ServingMLOpsMachine LearningOpen SourcePrivacyPrivacy-Preserving AIVector Database

Use Cases

Privacy-Preserving Model TrainingCross-Silo Federated LearningEdge Device Model TrainingMulti-Cloud AI Workload DistributionCollaborative Machine LearningDecentralized Data AnalysisLarge-Scale Distributed TrainingCross-Organization AI Collaboration

Recent Activity

Updated 7 months ago

7 Days

0

30 Days

0

90 Days

0

Quality

production
Quality
high
Maturity
production

Categories

RAG & RetrievalPrimaryInference & ServingMLOps & InfrastructureLearning ResourcesSecurity & SafetyFoundation ModelsML Platform & InfrastructureOther AI / ML

PM Skills

Cost & EfficiencySafety & AlignmentScale & ReliabilityProduct Discovery

Languages

Python100.0%

Timeline

Project created
Jul 21, 2020
Forked
Mar 22, 2026
Your last push
7 months ago
Upstream last push
7 months ago
Tracked since
Oct 28, 2025

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