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 ...
Methods: We conducted a mixed methods study combining a web-based survey and qualitative interviews. The survey explored physicians’ perspectives on the advantages and disadvantages of AI, its role in ...
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