Edge Intelligence in the Making: Optimization, Deep Learning, and Applications
暫譯: 邊緣智能的形成：優化、深度學習與應用

Lin, Sen, Zhou, Zhi, Zhang, Zhaofeng

Edge Intelligence in the Making: Optimization, Deep Learning, and Applications
  • 出版商: Springer
  • 出版日期: 2025-05-11
  • 售價: $2,020
  • 貴賓價: 9.5 折 $1,919
  • 語言: 英文
  • 頁數: 299
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031845625
  • ISBN-13: 9783031845628
  • 相關分類: DeepLearning

    • 海外代購書籍(需單獨結帳)

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商品描述

This book conducts a comprehensive and detailed survey of the recent research efforts in edge intelligence. The authors first review the background and present motivation for AI running at the network edge. The book then provides an overview of the overarching architectures, frameworks, and emerging key technologies for deep learning models toward training/inference at the network edge. To illustrate the research problems for edge intelligence, the book also showcases four of the authors' own research projects on edge intelligence, ranging from rigorous theoretical analysis to studies based on realistic implementation. This second edition incorporates the latest research in this rapidly developing area. The authors also highlight the current applications and future research opportunities for edge intelligence.

商品描述(中文翻譯)

本書對邊緣智能（edge intelligence）近期的研究努力進行了全面且詳細的調查。作者首先回顧了背景並介紹了在網路邊緣運行人工智慧（AI）的動機。接著，本書提供了針對在網路邊緣進行訓練/推論的深度學習模型的整體架構、框架及新興關鍵技術的概述。為了說明邊緣智能的研究問題，本書還展示了作者自身在邊緣智能方面的四個研究專案，這些專案涵蓋了從嚴謹的理論分析到基於現實實施的研究。本書的第二版納入了這個快速發展領域的最新研究。作者還強調了邊緣智能的當前應用及未來的研究機會。

作者簡介

Sen Lin, Ph.D., is an Assistant Professor in the Department of Computer Science at the University of Houston. He received his Ph.D. degree from Arizona State University, M.S. from HKUST and B.E. from Zhejiang University. His research interests broadly fall in the intersection of machine learning and wireless networking. Currently, his research focuses on developing algorithms and theories in continual learning, meta-learning, reinforcement learning, adversarial machine learning and bilevel optimization, with applications in multiple domains, e.g., edge computing, security, network control.

Zhi Zhou, Ph.D., is an Associate Professor in the School of Computer Science and Engineering at Sun Yat-sen University. He earned his B.S., M.E., and Ph.D. degrees from Huazhong University of Science and Technology. His primary research interests encompass cloud computing, edge computing, and distributed systems.

Zhaofeng Zhang, Ph.D., isa Postdoctoral Researcher at School of Computing and Augmented Intelligence at Arizona State University. He received his B.Eng. degree in Electrical Engineering from Huazhong University of Science and Technology. He received his M.S. and Ph.D. degree in Electrical Engineering from Arizona State University. His research interests include edge computing, statistical machine learning, deep learning, and optimization.

Xu Chen, Ph.D., is a Full Professor and Assistant Dean at the School of Computer Science and Engineering at Sun Yat-sen University. He received his Ph.D. in Information Engineering from The Chinese University of Hong Kong. His research interests include edge computing, AI for networking, game theory, deep learning, and dynamic optimization.

Junshan Zhang, Ph.D. is a Professor in the Electrical and Computer Engineering Department at the University of California, Davis. He received his Ph.D. from the School of ECE at Purdue University. His research interests fall in the general field of information networks and data science, including edge intelligence, reinforcement learning, continual learning, network optimization and control, and game theory, with applications in connected and automated vehicles, 5G and beyond, wireless networks, IoT data privacy/security, and smart grid.

作者簡介(中文翻譯)

Sen Lin, Ph.D.，是休士頓大學計算機科學系的助理教授。他在亞利桑那州立大學獲得博士學位，在香港科技大學獲得碩士學位，並在浙江大學獲得工程學士學位。他的研究興趣廣泛涵蓋機器學習與無線網絡的交集。目前，他的研究專注於持續學習、元學習、強化學習、對抗性機器學習和雙層優化中的算法和理論開發，並應用於多個領域，例如邊緣計算、安全性和網絡控制。

Zhi Zhou, Ph.D.，是中山大學計算機科學與工程學院的副教授。他在華中科技大學獲得學士、碩士和博士學位。他的主要研究興趣包括雲計算、邊緣計算和分佈式系統。

Zhaofeng Zhang, Ph.D.，是亞利桑那州立大學計算與增強智能學院的博士後研究員。他在華中科技大學獲得電氣工程的工程學士學位，並在亞利桑那州立大學獲得電氣工程的碩士和博士學位。他的研究興趣包括邊緣計算、統計機器學習、深度學習和優化。

Xu Chen, Ph.D.，是中山大學計算機科學與工程學院的正教授及助理院長。他在香港中文大學獲得信息工程的博士學位。他的研究興趣包括邊緣計算、網絡的人工智能、博弈論、深度學習和動態優化。

Junshan Zhang, Ph.D.，是加州大學戴維斯分校電氣與計算機工程系的教授。他在普渡大學的電氣與計算機工程學院獲得博士學位。他的研究興趣涵蓋信息網絡和數據科學的一般領域，包括邊緣智能、強化學習、持續學習、網絡優化與控制以及博弈論，並應用於連接和自動化車輛、5G及更高版本、無線網絡、物聯網數據隱私/安全和智能電網。

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