Abstract: For many scientific applications, dense matrix multiplication is one of the most important and computation intensive linear algebra operations. An efficient matrix multiplication on high ...
Background: Accurate antenatal prediction of SGA at birth is essential to improve development and delivery of preventative and therapeutic interventions. This study aimed to assess the performance of ...
Abstract: Privacy and security issues pose great challenges to the federated machine leaning (FML) community. A general view on privacy and security risks while ...
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