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Penalized Quantile Regression for Distributed Big Data Using the Slack Variab…
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Fan, YeLin, NanYin, Xianjun

Penalized quantile regression is a widely used tool for analyzing high-dimensional data with heterogeneity. Although its estimation theory has been well studied in the literature, its computation s…

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Mobile Crowdsensing : Current State and Future Challenges
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Ganti, Raghu KFan, YeHui, Lei


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