The future of equitable AI in community health centers will be measured by how effectively we are able to demand partnership ...
aDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA bDepartment of Medicine, University of California Los Angeles, Los Angeles, CA, USA cDepartment of Medicine, ...
Enterprise data masking tools help organizations protect sensitive data while still making it usable for testing, analytics, ...
A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...
Abstract: Multiaxis motion control systems have gained widespread adoption. However, the implementations of multiaxis servo control using distributed controllers are hindered by the data exchange ...