Distributed online optimization subject to long-term constraints and time-varying topology: An event-triggered and bandit feedback approach-Reference-Cited by-同舟云学术

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Distributed online optimization subject to long-term constraints and time-varying topology: An event-triggered and bandit feedback approach

Published:2024-11 Issue:16 Volume:361 Page:107132
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Zhang Difeng^ORCID,Feng Zhangcheng,Xu Wenying^ORCID,Yang Shaofu,Cao Jinde

Publisher

Elsevier BV

Reference34 articles.

1. A collaborative training algorithm for distributed learning;Predd;IEEE Trans. Inform. Theory,2009

2. Towards efficient communications in federated learning: A contemporary survey;Zhao;J. Franklin Inst.,2023

3. I.D. Schizas, A. Ribeiro, G.B. Biannakis, Consensus-Based Distributed Parameter Estimation in Ad Hoc Wireless Sensor Networks with Noisy Links, in: IEEE International Conference on Acoustics, 2007.

4. Online distributed detection of sensor networks with delayed information;Zhou;J. Franklin Inst.,2023

5. Distributed voltage control in distribution networks: Online and robust implementations;Liu;IEEE Trans. Smart Grid,2018

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