Heterogeneity-aware and communication-efficient distributed statistical
inference

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Heterogeneity-aware and communication-efficient distributed statistical inference

20 December 2019

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Papers citing "Heterogeneity-aware and communication-efficient distributed statistical inference"

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Title
Heterogeneous Transfer Learning for Building High-Dimensional Generalized Linear Models with Disparate Datasets Ruzhang Zhao P. Kundu Arkajyoti Saha Nilanjan Chatterjee 45 2 0 20 Dec 2023
Distributed estimation of spiked eigenvalues in spiked population models Lu Yan Jiang Hu 45 0 0 23 Oct 2023
Distributed Linear Regression with Compositional Covariates Yue Chao Lei Huang Xuejun Ma 46 0 0 21 Oct 2023
Updatable Estimation in Generalized Linear Models with Missing Response Xianhua Zhang Lu lin Qihua Wang 27 0 0 07 Oct 2023
Multi-Task Learning with Summary Statistics Parker Knight Rui Duan 123 10 0 05 Jul 2023
Differentially private sliced inverse regression in the federated paradigm Shuai He Jiawei Zhang Xin Chen FedML 78 1 0 10 Jun 2023
Distributed Estimation and Inference for Semi-parametric Binary Response Models Xinyu Chen Wenbo Jing Weidong Liu Yichen Zhang 47 2 0 15 Oct 2022
Heterogeneous Federated Learning on a Graph Huiyuan Wang Xuyang Zhao Weijie Lin FedML 107 4 0 19 Sep 2022
Weighted Distributed Estimation under Heterogeneity J. Gu Songxi Chen 27 1 0 14 Sep 2022
Statistical Inference for Streamed Longitudinal Data Lan Luo Jingshen Wang Emily C. Hector 18 16 0 04 Aug 2022
Turning the information-sharing dial: efficient inference from different data sources Emily C. Hector Ryan Martin 59 6 0 18 Jul 2022
Communication-efficient Distributed Newton-like Optimization with Gradients and M-estimators Ziyan Yin 77 0 0 13 Jul 2022
Federated Offline Reinforcement Learning D. Zhou Yufeng Zhang Aaron Sonabend-W Zhaoran Wang Junwei Lu Tianxi Cai OffRL 83 13 0 11 Jun 2022
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling Xubo Yue Raed Al Kontar FedML 130 9 0 28 Nov 2021
Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach Sai Li Tianxi Cai R. Duan 103 50 0 27 Aug 2021
Federated Causal Inference in Heterogeneous Observational Data Ruoxuan Xiong Allison Koenecke Michael A. Powell Zhu Shen Joshua T. Vogelstein Susan Athey FedML CML 80 49 0 25 Jul 2021
Robust and flexible learning of a high-dimensional classification rule using auxiliary outcomes Muxuan Liang Jaeyoung Park Qing Lu Xiang Zhong 55 0 0 11 Nov 2020