DAdam: A Consensus-Based Distributed Adaptive Gradient Method for Online Optimization-Reference-Cited by-同舟云学术

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DAdam: A Consensus-Based Distributed Adaptive Gradient Method for Online Optimization

Published:2022 Issue: Volume:70 Page:6065-6079
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Nazari Parvin¹^ORCID,Tarzanagh Davoud Ataee²^ORCID,Michailidis George³^ORCID

Affiliation:

1. Department of Mathematics and Computer Science, Amirkabir University of Technology (Tehran Polytechnic), Rasht St, Iran

2. Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA

3. Department of Statistics, University of Florida, Gainesville, FL, USA

Funder

UF Informatics Institute

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://ieeexplore.ieee.org/ielam/78/9675017/9973382-aam.pdf

Reference60 articles.

1. Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling

2. Deep Residual Learning for Image Recognition

3. Distributed Subgradient Methods for Multi-Agent Optimization

4. SGDLibrary: A. MATLAB library for stochastic optimization algorithms;kasai;J Mach Learn Res,2018

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

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