Distributed Online Optimization in Dynamic Environments Using Mirror Descent-Reference-Cited by-同舟云学术

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Distributed Online Optimization in Dynamic Environments Using Mirror Descent

Published:2018-03 Issue:3 Volume:63 Page:714-725
ISSN:0018-9286
Container-title:IEEE Transactions on Automatic Control
language:
Short-container-title:IEEE Trans. Automat. Contr.

Author:

Shahrampour Shahin^ORCID,Jadbabaie Ali^ORCID

Funder

Office of Naval Research Basic Research Challenge Program

DARPA's FunLoL Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9/8302611/08015179.pdf?arnumber=8015179

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1. Online distributed nonconvex optimization with stochastic objective functions: High probability bound analysis of dynamic regrets;Automatica;2024-12

2. Distributed online optimization subject to long-term constraints and time-varying topology: An event-triggered and bandit feedback approach;Journal of the Franklin Institute;2024-11

3. Distributed learning for online multi-cluster games over directed graphs;Neurocomputing;2024-10

4. Distributed Optimization Methods for Multi-Robot Systems: Part 2—A Survey;IEEE Robotics & Automation Magazine;2024-09

5. Online Distributed Optimization With Nonconvex Objective Functions Under Unbalanced Digraphs: Dynamic Regret Analysis;IEEE Transactions on Network Science and Engineering;2024-09

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