Splitting Method | List of Frontiers open access articles

Original Research

Published on 28 Jan 2026

EF-Feddr: communication-efficient federated learning with Douglas–Rachford splitting and error feedback

in Machine Learning and Artificial Intelligence

Jiao Xue
Chundong Wang

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1699896

550 views

Original Research

Published on 06 May 2020

Convergence of a Relaxed Variable Splitting Coarse Gradient Descent Method for Learning Sparse Weight Binarized Activation Neural Network

in Mathematics of Computation and Data Science

Thu Dinh
Jack Xin

Frontiers in Applied Mathematics and Statistics

doi 10.3389/fams.2020.00013

3,126 views
2 citations

Systematic Review

Published on 15 Nov 2022

Comparative efficacy of acupuncture-related techniques for mild cognitive impairment: A Bayesian network analysis

in Experimental Therapeutics

Xin Li
Lanfeng Lai
Liming Lu
Liang Yan
Kelin Deng
ZhiMing Li
Nenggui Xu
JiaYing Zhao

Frontiers in Neurology

doi 10.3389/fneur.2022.942682

4,851 views
3 citations

Methods

Published on 30 Jan 2020

Meta-Analysis of SNP-Environment Interaction With Overlapping Data

in Computational Genomics

Qinqin Jin
Gang Shi

Frontiers in Genetics

doi 10.3389/fgene.2019.01400

5,553 views
2 citations

Original Research

Published on 14 May 2025

Development and validation of a predictive model for depression risk in Chinese obese adults

in Public Mental Health

Cong Yu
Jiamin Cao
Wenguang Chen
Ensi Hong

Frontiers in Public Health

doi 10.3389/fpubh.2025.1574386

3,464 views
2 citations

Systematic Review

Published on 07 Feb 2022

Comparative Efficacy of Acupuncture-Related Techniques for Urinary Retention After a Spinal Cord Injury: A Bayesian Network Meta-Analysis

in Neurotrauma

Kelin He
Xinyun Li
Bei Qiu
Linzhen Jin
Ruijie Ma

Frontiers in Neurology

doi 10.3389/fneur.2021.723424

6,710 views
10 citations

Articles

EF-Feddr: communication-efficient federated learning with Douglas–Rachford splitting and error feedback

Convergence of a Relaxed Variable Splitting Coarse Gradient Descent Method for Learning Sparse Weight Binarized Activation Neural Network

Comparative efficacy of acupuncture-related techniques for mild cognitive impairment: A Bayesian network analysis

Meta-Analysis of SNP-Environment Interaction With Overlapping Data

Development and validation of a predictive model for depression risk in Chinese obese adults

Comparative Efficacy of Acupuncture-Related Techniques for Urinary Retention After a Spinal Cord Injury: A Bayesian Network Meta-Analysis