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DLHub: Simplifying publication, discovery, and use of machine learning models in science., , , , , , , , , and 1 other author(s). J. Parallel Distributed Comput., (2021)$f$funcX: Federated Function as a Service for Science., , , , , , , , , and 2 other author(s). IEEE Trans. Parallel Distributed Syst., 33 (12): 4948-4963 (2022)Model Formulation: caGrid 1.0: An Enterprise Grid Infrastructure for Biomedical Research., , , , , , , , , and 2 other author(s). J. Am. Medical Informatics Assoc., 15 (2): 138-149 (2008)Enabling collaborative research using the Biomedical Informatics Research Network (BIRN)., , , , , , , , , and 10 other author(s). J. Am. Medical Informatics Assoc., 18 (4): 416-422 (2011)FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking., , , , , , , , , and . CoRR, (2020)BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes., , , and . CoRR, (2021)Cloud-based bioinformatics workflow platform for large-scale next-generation sequencing analyses., , , , , , , , and . J. Biomed. Informatics, (2014)Cloud Clustering Over January 2003 via Scalable Rotationally Invariant Autoencoder., , , , and . e-Science, page 253-254. IEEE, (2021)Can Automated Metadata Extraction Make Scientific Data More Navigable?, , and . e-Science, page 1-10. IEEE, (2023)FLoX: Federated Learning with FaaS at the Edge., , , , , , , and . e-Science, page 11-20. IEEE, (2022)