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First-order Newton-type Estimator for Distributed Estimation and
  Inference
v1v2 (latest)

First-order Newton-type Estimator for Distributed Estimation and Inference

28 November 2018
Xi Chen
Weidong Liu
Yichen Zhang
ArXiv (abs)PDFHTML

Papers citing "First-order Newton-type Estimator for Distributed Estimation and Inference"

17 / 17 papers shown
Federated Learning of Quantile Inference under Local Differential Privacy
Federated Learning of Quantile Inference under Local Differential Privacy
Leheng Cai
Qirui Hu
Shuyuan Wu
FedML
155
0
0
26 Sep 2025
Byzantine-tolerant distributed learning of finite mixture models
Byzantine-tolerant distributed learning of finite mixture models
Qiong Zhang
Jiahua Chen
Jiahua Chen
FedML
391
0
0
19 Jul 2024
A Selective Review on Statistical Methods for Massive Data Computation:
  Distributed Computing, Subsampling, and Minibatch Techniques
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques
Xuetong Li
Yuan Gao
Hong Chang
Danyang Huang
Yingying Ma
...
Ke Xu
Jing Zhou
Xuening Zhu
Yingqiu Zhu
Hansheng Wang
231
18
0
17 Mar 2024
A review of distributed statistical inference
A review of distributed statistical inferenceStatistical Theory and Related Fields (STRF), 2021
Yuan Gao
Weidong Liu
Hansheng Wang
Xiaozhou Wang
Yibo Yan
Riquan Zhang
284
57
0
13 Apr 2023
Adaptive Data Fusion for Multi-task Non-smooth Optimization
Adaptive Data Fusion for Multi-task Non-smooth Optimization
Henry Lam
Kaizheng Wang
Yuhang Wu
Yichen Zhang
279
4
0
22 Oct 2022
Distributed Estimation and Inference for Semi-parametric Binary Response
  Models
Distributed Estimation and Inference for Semi-parametric Binary Response ModelsAnnals of Statistics (Ann. Stat.), 2022
Xinyu Chen
Wenbo Jing
Weidong Liu
Yichen Zhang
417
4
0
15 Oct 2022
Communication-efficient Distributed Newton-like Optimization with
  Gradients and M-estimators
Communication-efficient Distributed Newton-like Optimization with Gradients and M-estimators
Ziyan Yin
230
1
0
13 Jul 2022
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming
Sen Na
Michael W. Mahoney
485
11
0
27 May 2022
Federated Gaussian Process: Convergence, Automatic Personalization and
  Multi-fidelity Modeling
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity ModelingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Xubo Yue
Raed Al Kontar
FedML
357
18
0
28 Nov 2021
Distributed Sparse Regression via Penalization
Distributed Sparse Regression via PenalizationJournal of machine learning research (JMLR), 2021
Yao Ji
G. Scutari
Ying Sun
Harsha Honnappa
350
8
0
12 Nov 2021
MANDERA: Malicious Node Detection in Federated Learning via Ranking
MANDERA: Malicious Node Detection in Federated Learning via Ranking
Wanchuang Zhu
Benjamin Zi Hao Zhao
Simon Luo
Tongliang Liu
Kefeng Deng
AAMLFedML
277
8
0
22 Oct 2021
Statistical Estimation and Inference via Local SGD in Federated Learning
Statistical Estimation and Inference via Local SGD in Federated Learning
Xiang Li
Jiadong Liang
Xiangyu Chang
Zhihua Zhang
FedML
188
6
0
03 Sep 2021
Variance Reduced Median-of-Means Estimator for Byzantine-Robust
  Distributed Inference
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed InferenceJournal of machine learning research (JMLR), 2021
Jiyuan Tu
Weidong Liu
Xiaojun Mao
Xi Chen
181
28
0
04 Mar 2021
Distributed Bootstrap for Simultaneous Inference Under High
  Dimensionality
Distributed Bootstrap for Simultaneous Inference Under High DimensionalityJournal of machine learning research (JMLR), 2021
Yang Yu
Shih-Kang Chao
Guang Cheng
FedML
348
13
0
19 Feb 2021
Communication-Efficient Accurate Statistical Estimation
Communication-Efficient Accurate Statistical Estimation
Jianqing Fan
Yongyi Guo
Kaizheng Wang
253
145
0
12 Jun 2019
WONDER: Weighted one-shot distributed ridge regression in high
  dimensions
WONDER: Weighted one-shot distributed ridge regression in high dimensionsInternational Conference on Machine Learning (ICML), 2019
Guang Cheng
Yueqi Sheng
OffRL
345
49
0
22 Mar 2019
Distributed linear regression by averaging
Distributed linear regression by averaging
Guang Cheng
Yueqi Sheng
FedML
465
75
0
30 Sep 2018
1
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