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Distributed linear regression by averaging
v1v2v3 (latest)

Distributed linear regression by averaging

30 September 2018
Yan Sun
Yueqi Sheng
    FedML
ArXiv (abs)PDFHTML

Papers citing "Distributed linear regression by averaging"

17 / 17 papers shown
Title
Sharded Bayesian Additive Regression Trees
Sharded Bayesian Additive Regression Trees
Hengrui Luo
M. Pratola
64
6
0
01 Jun 2023
Generalized equivalences between subsampling and ridge regularization
Generalized equivalences between subsampling and ridge regularization
Pratik V. Patil
Jin-Hong Du
91
5
0
29 May 2023
Optimal subsampling for the Cox proportional hazards model with massive
  survival data
Optimal subsampling for the Cox proportional hazards model with massive survival data
Nan Qiao
Wangcheng Li
Fengjun Xiao
Cunjie Lin
Yong Zhou
62
2
0
05 Feb 2023
Distributed Sparse Linear Regression under Communication Constraints
Distributed Sparse Linear Regression under Communication Constraints
R. Fonseca
B. Nadler
FedML
74
2
0
09 Jan 2023
Asymptotics of the Sketched Pseudoinverse
Asymptotics of the Sketched Pseudoinverse
Daniel LeJeune
Pratik V. Patil
Hamid Javadi
Richard G. Baraniuk
Robert Tibshirani
54
10
0
07 Nov 2022
Heterogeneous Federated Learning on a Graph
Heterogeneous Federated Learning on a Graph
Huiyuan Wang
Xuyang Zhao
Weijie Lin
FedML
107
4
0
19 Sep 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
77
0
0
13 Jul 2022
On Distributed Exact Sparse Linear Regression over Networks
On Distributed Exact Sparse Linear Regression over Networks
Tu Anh-Nguyen
César A. Uribe
43
0
0
01 Apr 2022
Parameters or Privacy: A Provable Tradeoff Between Overparameterization
  and Membership Inference
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference
Jasper Tan
Blake Mason
Hamid Javadi
Richard G. Baraniuk
FedML
91
20
0
02 Feb 2022
Long-term Data Sharing under Exclusivity Attacks
Long-term Data Sharing under Exclusivity Attacks
Yotam gafni
Moshe Tennenholtz
44
2
0
22 Jan 2022
Data splitting improves statistical performance in overparametrized
  regimes
Data splitting improves statistical performance in overparametrized regimes
Nicole Mücke
Enrico Reiss
Jonas Rungenhagen
Markus Klein
53
8
0
21 Oct 2021
Sparse sketches with small inversion bias
Sparse sketches with small inversion bias
Michal Derezinski
Zhenyu Liao
Yan Sun
Michael W. Mahoney
107
22
0
21 Nov 2020
What causes the test error? Going beyond bias-variance via ANOVA
What causes the test error? Going beyond bias-variance via ANOVA
Licong Lin
Yan Sun
93
34
0
11 Oct 2020
How to reduce dimension with PCA and random projections?
How to reduce dimension with PCA and random projections?
Fan Yang
Sifan Liu
Yan Sun
David P. Woodruff
63
28
0
01 May 2020
Distributed Gaussian Mean Estimation under Communication Constraints:
  Optimal Rates and Communication-Efficient Algorithms
Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms
T. Tony Cai
Hongjie Wei
69
27
0
24 Jan 2020
Ridge Regression: Structure, Cross-Validation, and Sketching
Ridge Regression: Structure, Cross-Validation, and Sketching
Sifan Liu
Yan Sun
CML
115
48
0
06 Oct 2019
WONDER: Weighted one-shot distributed ridge regression in high
  dimensions
WONDER: Weighted one-shot distributed ridge regression in high dimensions
Yan Sun
Yueqi Sheng
OffRL
92
51
0
22 Mar 2019
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