Chrome Extension
WeChat Mini Program
Use on ChatGLM

A Distributed Algorithm for Solving A Time-Varying Linear Equation

Proceedings of the ... IEEE Conference on Decision & Control(2023)

Beijing Inst Technol | China North Vehicle Res Inst | Chongqing Innovat Ctr

Cited 0|Views25
Abstract
This paper studies the problem of cooperatively solving a time-varying linear equation of the form A(t)x(t) = b(t), which always has a unique solution. Each agent has access to only some rows of the time-varying augmented matrix [A(t) b(t)]. We propose a distributed algorithm for solving the time-varying linear equation. The proposed distributed algorithm enforces local solutions to track local time-varying manifolds corresponding to local linear sub-equations while simultaneously reaching a consensus. This enables all local solutions to converge to the solution of the original time-varying linear equation. Finally, the effectiveness of the proposed algorithm is demonstrated through its application in a cooperative monitoring task.
More
Translated text
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:本文提出了一种解决时变线性方程的分布式算法,通过使局部解跟踪局部时变流形并达到共识,实现了局部解到原始时变线性方程解的收敛。

方法】:提出了一个分布式算法,通过局部解跟踪局部时变流形并实现共识来解决时变线性方程。

实验】:通过在合作监控任务中的应用,证明了所提算法的有效性,数据集未明确提及。