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NVIDIA FLARE
4.7
Free Users praise NVIDIA FLARE for its flexibility and comprehensive support for federated learning workflows.
An open-source SDK for Federated Learning, enabling secure multi-party collaboration.
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Refined 2/22/2026
About NVIDIA FLARE
NVIDIA FLARE (Federated Learning Application Runtime Environment) is a domain-agnostic, open-source SDK designed to facilitate federated learning workflows. It enables researchers and data scientists to adapt existing ML/DL models to a federated paradigm. Platform developers can leverage NVIDIA FLARE to build secure, privacy-preserving applications for distributed multi-party collaboration. The SDK supports various federated learning algorithms and workflows, including federated averaging and federated XGBoost. It offers APIs for client-side training, server-side control, and job management, with comprehensive tutorials covering core concepts, tools, and advanced algorithms. NVIDIA FLARE also integrates privacy-preserving mechanisms like differential privacy and homomorphic encryption, enhancing data security during federated learning processes. It includes a simulator for testing and debugging federated setups.
Core Capabilities
NVIDIA FLARE (Federated Learning Application Runtime Environment) is a domain-agnostic, open-source SDK designed to facilitate federated learning workflows.
