找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Distributed Optimization in Networked Systems; Algorithms and Appli Qingguo Lü,Xiaofeng Liao,Shanfu Gao Book 2023 The Editor(s) (if applica

[復(fù)制鏈接]
查看: 56139|回復(fù): 45
樓主
發(fā)表于 2025-3-21 16:45:15 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Distributed Optimization in Networked Systems
副標(biāo)題Algorithms and Appli
編輯Qingguo Lü,Xiaofeng Liao,Shanfu Gao
視頻videohttp://file.papertrans.cn/282/281931/281931.mp4
概述Introduces readers to state-of-the-art and advanced distributed optimization algorithms in networked systems.Proposes effective strategies for rapid convergence and efficient execution of distributed
叢書名稱Wireless Networks
圖書封面Titlebook: Distributed Optimization in Networked Systems; Algorithms and Appli Qingguo Lü,Xiaofeng Liao,Shanfu Gao Book 2023 The Editor(s) (if applica
描述.This book focuses on improving the performance (convergence rate, communication efficiency, computational efficiency, etc.) of algorithms in the context of distributed optimization in networked systems and their successful application to real-world applications (smart grids and online learning). Readers may be particularly interested in the sections on consensus protocols, optimization skills, accelerated mechanisms, event-triggered strategies, variance-reduction communication techniques, etc., in connection with distributed optimization in various networked systems. This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students alike..
出版日期Book 2023
關(guān)鍵詞Distributed optimization; Networked systems; Acceleration; Communication efficiency; Computational effic
版次1
doihttps://doi.org/10.1007/978-981-19-8559-1
isbn_softcover978-981-19-8561-4
isbn_ebook978-981-19-8559-1Series ISSN 2366-1186 Series E-ISSN 2366-1445
issn_series 2366-1186
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

書目名稱Distributed Optimization in Networked Systems影響因子(影響力)




書目名稱Distributed Optimization in Networked Systems影響因子(影響力)學(xué)科排名




書目名稱Distributed Optimization in Networked Systems網(wǎng)絡(luò)公開度




書目名稱Distributed Optimization in Networked Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Distributed Optimization in Networked Systems被引頻次




書目名稱Distributed Optimization in Networked Systems被引頻次學(xué)科排名




書目名稱Distributed Optimization in Networked Systems年度引用




書目名稱Distributed Optimization in Networked Systems年度引用學(xué)科排名




書目名稱Distributed Optimization in Networked Systems讀者反饋




書目名稱Distributed Optimization in Networked Systems讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:32:36 | 只看該作者
板凳
發(fā)表于 2025-3-22 00:33:52 | 只看該作者
地板
發(fā)表于 2025-3-22 07:29:49 | 只看該作者
5#
發(fā)表于 2025-3-22 09:04:52 | 只看該作者
https://doi.org/10.1057/9780230253001omentum terms and employs non-uniform step-sizes. This approach can effectively overcome the abovementioned limitations of column-stochastic directed networks in the implementation. The implementation of D-DNGT is straightforward if each node locally chooses a suitable step-size and privately regula
6#
發(fā)表于 2025-3-22 16:37:51 | 只看該作者
https://doi.org/10.1057/9780230253001ctation when each constituent function (smooth) is strongly convex if the constant step-size is less than an explicitly calculated upper constraint. Regarding the current distributed methods, the suggested technique not only has a low computation cost in terms of the overall number of local gradient
7#
發(fā)表于 2025-3-22 19:58:15 | 只看該作者
8#
發(fā)表于 2025-3-22 21:38:45 | 只看該作者
9#
發(fā)表于 2025-3-23 02:12:43 | 只看該作者
10#
發(fā)表于 2025-3-23 06:00:36 | 只看該作者
https://doi.org/10.1057/9780230270589orithm, D-DLM, which integrates a distributed gradient tracking method with two momentum terms and non-uniform step-sizes in the update of the Lagrangian multipliers. Next, we give proof that if the maximum step-size and the maximum momentum coefficient are positive and sufficiently small, the D-DLM
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-26 11:07
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
涿鹿县| 金湖县| 塔城市| 永仁县| 平乐县| 安新县| 武邑县| 仪征市| 宁波市| 隆回县| 聊城市| 甘南县| 鸡东县| 商洛市| 察雅县| 龙山县| 象山县| 城固县| 柘城县| 文水县| 邛崃市| 伊川县| 宁南县| 牡丹江市| 安西县| 东城区| 泗洪县| 泸州市| 丰台区| 阿拉善左旗| 宝坻区| 沙洋县| 乌苏市| 民乐县| 赞皇县| 昭苏县| 会理县| 永川市| 泸水县| 道孚县| 敦煌市|