securefederatedai/openfederatedlearning
openfederatedlearning
An Open Framework for Federated Learning.
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securefederatedai
securefederatedai • individual
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Created
Jan 12, 2021
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README Summary
OpenFederatedLearning is an open-source framework designed to enable federated learning across distributed environments. It provides tools and APIs for training machine learning models collaboratively without centralizing sensitive data, allowing multiple parties to participate in model training while maintaining data privacy.
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Federated LearningDistributed Machine LearningPrivacy-Preserving MLModel AggregationSecure Multi-Party ComputationDifferential PrivacyDecentralized Training
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Federated LearningDistributed Machine LearningPrivacy-Preserving MLModel AggregationSecure Multi-Party ComputationDifferential PrivacyDecentralized TrainingMulti-bank fraud detectionTelecommunicationsCollaborative drug discoveryEdge AIHealthcareInsuranceAI SafetyPrivacy-compliant data analyticsEdge/MobileCross-hospital medical researchGovernmentFinTechTextImageCross-organizational AI model trainingPrivacy-Preserving AIOn-premiseTabularSelf-hostedDecentralized AIDistributedPython
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Updated 1 months ago
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prototype- Quality
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Categories
Learning ResourcesPrimaryIndustry: HealthcareIndustry: FinTechSafety & AlignmentData Science & AnalyticsHealthcare & BiologyFinance & LegalEdge & Mobile AISearch & KnowledgeOther AI / MLModel TrainingRobotics
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Python100.0%
Timeline
- Project created
- Jan 12, 2021
- Forked
- Mar 22, 2026
- Your last push
- 1 months ago
- Upstream last push
- 1 months ago
- Tracked since
- Feb 21, 2026
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