2023
DOI: 10.1007/s00180-022-01318-0
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Distributed quantile regression for longitudinal big data

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“…Zhu et al [14] proposed a general distributed framework in terms of a distributed least-squares approximation(DLSA) procedure. The second category is the "iterative" approach, which involves multiple rounds of communication between the master machine and local machines to obtain a distributed estimator for approximating the global estimator(see, e.g., Jordan et al [15], Huang and Huo [16], Wang et al [17], Chen et al [18], Fan et al [19]).…”
Section: Introductionmentioning
confidence: 99%
“…Zhu et al [14] proposed a general distributed framework in terms of a distributed least-squares approximation(DLSA) procedure. The second category is the "iterative" approach, which involves multiple rounds of communication between the master machine and local machines to obtain a distributed estimator for approximating the global estimator(see, e.g., Jordan et al [15], Huang and Huo [16], Wang et al [17], Chen et al [18], Fan et al [19]).…”
Section: Introductionmentioning
confidence: 99%