Abstract: In this paper, we leverage unmanned aerial vehicles (UAVs) to enhance mobile crowd sensing (MCS) by addressing two critical challenges: uncontrollable data quality and inevitable unsensed ...
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 ...
The Census Bureau is walking back plans to unveil a new, more inclusive way to document race and ethnicity, delaying updates ...
Advanced genomics, digital phenotyping, and predictive breeding models are helping researchers evaluate tens of thousands of ...
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