Open Source BSD Federated Learning Frameworks
Sort By:
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.
-
Earn up to 15% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
-
Earn up to 15% annual interest with Nexo.Generate interest, access liquidity without selling, and execute trades seamlessly. All in one platform. Geographic restrictions, eligibility, and terms apply.
-
1
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. -
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).
- Previous
- You're on page 1
- Next
