Building AI Models For Science
Privacy-Preserving Federated Learning for Science: Building Sustainable and Trustworthy Foundation Models.
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Learn how to launch a federated learning experiment using APPFLx with our step-by-step documentation.
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Develop an Advanced Privacy Preserving Federated Learning framework that implements differentially private algorithms for training FL models with biomedical and scientific datasets across multiple organizations.
APPFL Framework
An open-source framework for advanced privacy-preserving federated learning, supporting diverse algorithms and deployment scenarios.
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