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, ...
This repository is the official implementation of "DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models" accepted by the Main Technical Track of the 39th ...
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: This article proposes online data-based reinforcement learning (RL) algorithm for adaptive output consensus control of heterogeneous multiagent systems (MASs) with unknown dynamics. First, ...
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