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NVIDIA FLARE is an open-source, domain-agnostic SDK for federated learning that enables secure, privacy-preserving multi-party collaboration by allowing models to be trained across diverse data sources without data leaving local sites. It includes privacy-preserving algorithms, built-in training and evaluation workflows (e.g., FedAvg, FedOpt, FedProx), and extensible management tools, and it supports PyTorch, TensorFlow, Nemo, RAPIDS, and NumPy to integrate federated learning into existing ML/DL pipelines. It provides reusable building blocks and an extensive API to develop new federated learning strategies, with quick-start examples and documentation available via the NVIDIA NVFlare GitHub repo and PyPI.
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