4.7 Article

Decentralized Non-Convex Learning With Linearly Coupled Constraints: Algorithm Designs and Application to Vertical Learning Problem

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Electrical & Electronic

An Improved Convergence Analysis for Decentralized Online Stochastic Non-Convex Optimization

Ran Xin et al.

Summary: This paper investigates decentralized online stochastic non-convex optimization over a network of nodes. By integrating gradient tracking technique, the GT-DSGD algorithm is shown to have desirable characteristics towards minimizing a sum of smooth non-convex functions, achieving network-independent performances that match the centralized minibatch SGD.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2021)

Article Computer Science, Software Engineering

Lower bounds for finding stationary points I

Yair Carmon et al.

MATHEMATICAL PROGRAMMING (2020)

Article Automation & Control Systems

Distributed Smooth Convex Optimization With Coupled Constraints

Shu Liang et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2020)

Article Engineering, Electrical & Electronic

Distributed Gradient Methods for Convex Machine Learning Problems in Networks: Distributed Optimization

Angelia Nedic

IEEE SIGNAL PROCESSING MAGAZINE (2020)

Article Engineering, Electrical & Electronic

Distributed Learning in the Nonconvex World: From batch data to streaming and beyond

Tsung-Hui Chang et al.

IEEE SIGNAL PROCESSING MAGAZINE (2020)

Article Automation & Control Systems

Distributed Continuous-Time Nonsmooth Convex Optimization With Coupled Inequality Constraints

Xiuxian Li et al.

IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS (2020)

Article Operations Research & Management Science

A Block Successive Upper-Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization

Mingyi Hong et al.

MATHEMATICS OF OPERATIONS RESEARCH (2020)

Proceedings Paper Acoustics

A PROXIMAL DUAL CONSENSUS METHOD FOR LINEARLY COUPLED MULTI-AGENT NON-CONVEX OPTIMIZATION

Jiawei Zhang et al.

2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (2020)

Article Mathematics, Applied

A PROXIMAL ALTERNATING DIRECTION METHOD OF MULTIPLIER FOR LINEARLY CONSTRAINED NONCONVEX MINIMIZATION

Jiawei Zhang et al.

SIAM JOURNAL ON OPTIMIZATION (2020)

Article Mathematics, Applied

Global Convergence of ADMM in Nonconvex Nonsmooth Optimization

Yu Wang et al.

JOURNAL OF SCIENTIFIC COMPUTING (2019)

Article Automation & Control Systems

A Duality-Based Approach for Distributed Min-Max Optimization

Ivano Notarnicola et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2019)

Article Engineering, Electrical & Electronic

Supervised Learning Under Distributed Features

Bicheng Ying et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2019)

Article Computer Science, Artificial Intelligence

Federated Machine Learning: Concept and Applications

Qiang Yang et al.

ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2019)

Article Engineering, Electrical & Electronic

Distributed Non-Convex First-Order Optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithms

Haoran Sun et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2019)

Proceedings Paper Computer Science, Information Systems

FDML: A Collaborative Machine Learning Framework for Distributed Features

Yaochen Hu et al.

KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2019)

Article Engineering, Electrical & Electronic

Communication-Efficient Distributed Demand Response: A Randomized ADMM Approach

Shin-Ching Tsai et al.

IEEE TRANSACTIONS ON SMART GRID (2017)

Article Engineering, Electrical & Electronic

A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems

Daniel K. Molzahn et al.

IEEE TRANSACTIONS ON SMART GRID (2017)

Article Engineering, Electrical & Electronic

A Proximal Dual Consensus ADMM Method for Multi-Agent Constrained Optimization

Tsung-Hui Chang

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2016)

Article Engineering, Electrical & Electronic

Multi-Agent Distributed Optimization via Inexact Consensus ADMM

Tsung-Hui Chang et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2015)

Article Automation & Control Systems

Distributed Constrained Optimization by Consensus-Based Primal-Dual Perturbation Method

Tsung-Hui Chang et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2014)

Article Automation & Control Systems

On Distributed Convex Optimization Under Inequality and Equality Constraints

Minghui Zhu et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2012)

Article Engineering, Electrical & Electronic

Distributed Robust Multicell Coordinated Beamforming With Imperfect CSI: An ADMM Approach

Chao Shen et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2012)

Article Statistics & Probability

Penalized likelihood regression for generalized linear models with non-quadratic penalties

Anestis Antoniadis et al.

ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS (2011)

Article Computer Science, Artificial Intelligence

A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

Amir Beck et al.

SIAM JOURNAL ON IMAGING SCIENCES (2009)

Article Engineering, Electrical & Electronic

Coding with side information for rate-constrained consensus

Mehmet Ercan Yildiz et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2008)

Article Automation & Control Systems

Alternative distributed algorithms for network utility maximization: Framework and applications

Daniel P. Palomar et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2007)

Article Engineering, Electrical & Electronic

A tutorial on decomposition methods for network utility maximization

Daniel P. Palomar et al.

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2006)

Article Computer Science, Software Engineering

Smooth minimization of non-smooth functions

Y Nesterov

MATHEMATICAL PROGRAMMING (2005)