NVIDIA Open-Source 'FLARE' (Federated Learning Application Runtime Environment), Providing A Common Computing Foundation For Federated Learning – MarkTechPost

Standard machine learning methods involve storing training data on a single machine or in a data center. Federated learning is a privacy-preserving technique that is especially useful when the training data is sparse, confidential, or less diverse. 
NVIDIA open-source NVIDIA FLARE, which stands for Federated Learning Application Runtime Environment. It is a software development kit that enables remote parties to collaborate for developing more generalizable AI models. NVIDIA FLARE is the underlying engine in the NVIDIA Clara Train’s federated learning software, which has been utilized for diverse AI applications such as medical imaging, genetic analysis, cancer, and COVID-19 research.
Researchers can use the SDK to customize their method for domain-specific applications by choosing from a variety of federated learning architectures. NVIDIA FLARE can also be used by platform developers to give consumers the distributed infrastructure needed to create a multi-party collaborative application.
Participants in federated learning collaborate to train or evaluate AI models without needing to share or pool their private datasets. NVIDIA FLARE supports a variety of distributed architectures, including peer-to-peer, cyclic, and server-client techniques, among others.
NVIDIA FLARE has been used in two federated learning collaborations: 
However, the server-client architecture is not appropriate for all federated learning applications. NVIDIA FLARE will make federated learning more accessible to a broader range of applications by supporting other architectures. The possible use cases include helping:
The ability to speed federated learning research by open-sourcing NVIDIA FLARE is especially relevant in the healthcare sector, where access to multi-institutional datasets is critical, but patient privacy concerns can hinder data sharing. 
NVIDIA FLARE can work with current AI projects, such as the open-source MONAI medical imaging platform. It will also be deployed in the following areas to power federated learning solutions:
By making NVIDIA FLARE open source, researchers and platform developers will have additional options to personalize their federated learning solutions, enabling cutting-edge AI in practically any industry.
Reference: https://blogs.nvidia.com/blog/2021/11/29/federated-learning-ai-nvidia-flare/
Platform: https://developer.nvidia.com/flare

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