Applications of Federated Learning in Technological Advancements: Use Cases and Applications
暫譯: 聯邦學習在技術進步中的應用:案例與應用

Jayachitra, S., Prasanth, A., Dhanaraj, Rajesh Kumar

  • 出版商: CRC
  • 出版日期: 2025-09-02
  • 售價: $7,940
  • 貴賓價: 9.5$7,543
  • 語言: 英文
  • 頁數: 174
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032859512
  • ISBN-13: 9781032859514
  • 相關分類: 人工智慧物聯網 IoT區塊鏈與金融科技
  • 海外代購書籍(需單獨結帳)

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商品描述

This book explores the applications and advancements of Federated Learning across diverse sectors, focusing on its integration with cutting-edge technologies like IoT, AI, Blockchain, and Digital Twins.

商品描述(中文翻譯)

本書探討聯邦學習在各個領域的應用與進展,重點關注其與物聯網(IoT)、人工智慧(AI)、區塊鏈(Blockchain)和數位雙胞胎(Digital Twins)等尖端技術的整合。

作者簡介

S. Jayachitra, presently working as an Assistant Professor at PSNA College of Engineering and Technology, Dindigul, India. She received B.E. degree in Electronics and Communication Engineering from Anna University, Chennai and M.E degree in Communication Systems from Anna University, Chennai and also pursuing her Ph.D degree in Information and Communication Engineering from Anna University, Chennai, India. She has published more than 25 research articles in reputed International Journals which are indexed in Scopus. She has won two best paper awards and been granted 22 patents.

A. Prasanth received the B.E degree from Anna University, Chennai and the M.E degree in Computer Science and Engineering (with specialization in Networks) from Anna University, Chennai and also received a Ph.D. degree in Information and Communication Engineering from Anna University, Chennai, India. He served as a Recognized Ph.D. Supervisor. Five Scholars are pursuing their research, and two completed their Ph.D under his guidance. His name was included in the World's Top 2% of Scientists list in the years 2023 and 2024.

Rajesh Kumar Dhanaraj is a distinguished Professor at Symbiosis International (Deemed University) in Pune, India. Before joining Symbiosis International University, he served as a Professor at the School of Computing Science & Engineering at Galgotias University in Greater Noida, India. His academic and research achievements have earned him a place among the Top 2% of scientists globally.

Balasubramaniam S (IEEE Senior Member) is working as an Assistant Professor in School of Computer Science and Engineering, Kerala University of Digital Sciences, Innovation and Technology (Formerly IIITM-K), Digital University Kerala, Thiruvananthapuram, Kerala, India. He has totally around 15+ years of experience in teaching, research and industry. He has completed his Post Doctoral Research in Department of Applied Data Science, Noroff University College, Kristiansand, Norway. He holds a Ph.D degree in Computer Science and Engineering from Anna University, Chennai, India in 2015.

Danilo Pelusi received the degree in Physics from the University of Bologna (Italy) and the Ph.D. degree in Computational Astrophysics from the University of Teramo (Italy). Currently, he is an Associate Professor of Computer Science at the Department of Communication Sciences, University of Teramo. He has worked as the editor of books by reputed publishers, and Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence (2017-2020), IEEE Access (2018-present), IEEE Transactions on Neural Networks and Learning Systems (2022-present) and IEEE Transactions on Intelligent Transportation Systems (2022-present).

作者簡介(中文翻譯)

S. Jayachitra目前擔任印度丁迪古爾PSNA工程技術學院的助理教授。她在印度金奈的安娜大學獲得電子與通信工程的學士學位(B.E.),並在同一所大學獲得通信系統的碩士學位(M.E.),目前正在攻讀信息與通信工程的博士學位(Ph.D.)。她在多個知名國際期刊上發表了超過25篇研究文章,這些期刊均被Scopus索引。她曾獲得兩項最佳論文獎,並獲得22項專利。

A. Prasanth在印度金奈的安娜大學獲得學士學位(B.E.)及計算機科學與工程(專攻網絡)的碩士學位(M.E.),並在同一所大學獲得信息與通信工程的博士學位(Ph.D.)。他曾擔任認可的博士生導師,五名學者在他的指導下進行研究,兩名學者已在他的指導下完成博士學位。他的名字於2023年和2024年被列入全球前2%的科學家名單。

Rajesh Kumar Dhanaraj是印度浦那Symbiosis International(認可大學)的傑出教授。在加入Symbiosis International University之前,他曾擔任印度大諾伊達Galgotias大學計算科學與工程學院的教授。他的學術和研究成就使他在全球科學家中名列前2%

Balasubramaniam S(IEEE資深會員)目前在印度喀拉拉邦數位科學、創新與技術大學(前IIITM-K)的計算機科學與工程學院擔任助理教授。他在教學、研究和產業方面擁有超過15年的經驗。他在挪威克里斯坦桑德的Noroff大學學院應用數據科學系完成了博士後研究。他於2015年在印度金奈的安娜大學獲得計算機科學與工程的博士學位(Ph.D.)。

Danilo Pelusi在意大利博洛尼亞大學獲得物理學學位,並在意大利特拉莫大學獲得計算天體物理學的博士學位(Ph.D.)。目前,他是特拉莫大學通信科學系的計算機科學副教授。他曾擔任知名出版社書籍的編輯,以及IEEE《計算智能新興主題期刊》(2017-2020)、IEEE Access(2018至今)、IEEE《神經網絡與學習系統期刊》(2022至今)和IEEE《智能交通系統期刊》(2022至今)的副編輯。