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OpenFed is a comprehensive open-source federated learning framework that serves as a foundational library for federated learning research. It supports multiple research projects and aims to lower barriers to entry by addressing common pain points for researchers and downstream users. Developed by FederalLab, OpenFed has gained recognition in the community, including acceptance to the CVPR Workshop on Federated Learning for Computer Vision (CVPRW23).
AI named OpenFed in November 2025.