Open Source BSD Federated Learning Frameworks

Federated Learning Frameworks for BSD

Browse free open source Federated Learning Frameworks and projects for BSD below. Use the toggles on the left to filter open source Federated Learning Frameworks by OS, license, language, programming language, and project status.

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  • 1
    NVIDIA FLARE

    NVIDIA FLARE

    NVIDIA Federated Learning Application Runtime Environment

    NVIDIA Federated Learning Application Runtime Environment NVIDIA FLARE is a domain-agnostic, open-source, extensible SDK that allows researchers and data scientists to adapt existing ML/DL workflows(PyTorch, TensorFlow, Scikit-learn, XGBoost etc.) to a federated paradigm. It enables platform developers to build a secure, privacy-preserving offering for a distributed multi-party collaboration. NVIDIA FLARE is built on a componentized architecture that allows you to take federated learning workloads from research and simulation to real-world production deployment.
    Downloads: 2 This Week
    Last Update:
    See Project
  • 2
    Taorluath is a Service-Oriented Learning Architecture based on a WAFFLE Bus design methodology which is the result of the fusion of the concepts behind the Wide Area Freely Federated Learning Environment (WAFFLE) and the Enterprise Service Bus (ESB).
    Downloads: 0 This Week
    Last Update:
    See Project
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