Federated Learning for Healthcare: Applications with Case Studies
暫譯: 醫療聯邦學習：應用與案例研究

Anandan, R., Pal, Souvik, Balaganesh, D.

Federated Learning for Healthcare: Applications with Case Studies
  • 出版商: CRC
  • 出版日期: 2026-06-16
  • 售價: $6,600
  • 貴賓價: 9.5 折 $6,270
  • 語言: 英文
  • 頁數: 280
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032978104
  • ISBN-13: 9781032978109
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

商品描述

The book offers an in-depth exploration of federated learning and its transformative impact on the healthcare industry. It begins by introducing the foundational concepts of federated learning, including its methods and applications within various healthcare domains. It explores how federated learning allows for model training using decentralised data, such as patient records, medical imaging, and wearable sensor data, without centralising sensitive information. This approach ensures patient privacy and addresses critical challenges in healthcare data management.

  • A detailed overview of federated learning, its principles, and its relevance to the healthcare sector
  • Insights into how federated learning enhances clinical decision-making, disease prediction, diagnosis, and personalised treatment through decentralised data sources
  • Examination of issues such as communication overhead, model heterogeneity, and data distribution imbalance, with strategies to overcome these challenges
  • Practical examples of successful federated learning implementations in healthcare demonstrate its impact on patient care and operational efficiency
  • Discussions on maintaining data privacy, ensuring compliance with regulations, and addressing ethical concerns

This book is for researchers, healthcare professionals, data scientists, and policymakers interested in leveraging federated learning to enhance healthcare.

商品描述(中文翻譯)

本書深入探討聯邦學習及其對醫療產業的變革性影響。書中首先介紹聯邦學習的基本概念，包括其方法和在各種醫療領域的應用。接著探討聯邦學習如何利用去中心化的數據進行模型訓練，例如病歷、醫療影像和可穿戴感測器數據，而無需集中敏感信息。這種方法確保了病人的隱私，並解決了醫療數據管理中的關鍵挑戰。

- 聯邦學習的詳細概述、其原則及其在醫療領域的相關性
- 深入了解聯邦學習如何通過去中心化的數據來源增強臨床決策、疾病預測、診斷和個性化治療
- 檢視通訊開銷、模型異質性和數據分佈不平衡等問題，並提出克服這些挑戰的策略
- 實際案例展示成功的聯邦學習在醫療中的應用，顯示其對病人護理和運營效率的影響
- 討論維護數據隱私、確保遵守法規及解決倫理問題

本書適合研究人員、醫療專業人士、數據科學家及政策制定者，對利用聯邦學習提升醫療服務感興趣的讀者。

作者簡介

R. Anandan completed his UG, PG, Doctorate in Computer Science and Engineering and Post-Doctoral Degree - D.Sc. in Computer Science and Engineering from Mexico in North America.He is IBMS/390 Mainframe professional and he is recognized as Chartered Engineer from Institution of Engineers in India and received fellowship from Bose Science Society, India. He completed 7 certification courses mainly from CISCO. He is currently working as Professor, Department of Computer Science and Engineering, School of Engineering and Director - Innovation and Incubation, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, Tamil Nadu, India which is Pioneer Institution in Engineering. He has vast experience in corporate and all levels of Academic in Computer Science and Engineering his knowledge of interests not limited to Artificial intelligence Soft Computing, Machine Learning, High Performance Computing, Big data Analytics, Image Processing, 3D printing and knowledge Engineering. Under his eminent guidance 8 Ph.D Research Scholars are pursuing, under his Supervision. 11 Ph.D., Research Scholars have been awarded under his Guidance and Supervision. He associated as Member in many reputed International and National societies like International Association of Engineers (IAENG) Hong Kong, Computer Science Teacher Association (CSTA) New York, Universal Association of Computer and Electronics Engineers, USA, Association of Computer Sciences and Information Technology (IACSIT), Singapore, Institution of Engineers, India, Computer Society of India and Indian Society of Technical Education (I.S.T.E). He serves as Editorial Board Member / Technical Committee/ Reviewer of International Journal such Arab/UK/USA journals. He servers as International Committee Members towards International Conference conducted in association with Springer and Scopus.

He has published more than 135 research papers in various International Journals such in Scopus, SCI and referred journal. He has presented 90 papers at various International Conferences. He received 20 awards from National and Inter-National Agencies He authored and Edited 26 books which includes 10 International Books and published 30 chapters in various International Books. He filed 20 patents of his work and 1 International and 3 Indian Patent granted. He received grant for his Project sanctioned by AICTE under Research Promotion Scheme for the year 2021-2022 and MSME Idea Hackathon 2022 for the year 2021-2022 also received 3 project grants from the private organization. He done Consultancy Projects for some of the reputed organization and also associated as Knowledge Partner in leading Software Company.

Souvik Pal is a Professor in the Department of Computer Science and Engineering at Sister Nivedita University (Techno India Group), Kolkata, India. He holds M.Tech and Ph.D. degrees in Computer Science and Engineering from KIIT University, Bhubaneswar, and brings over a decade of academic and research experience to his role. Prior to joining Sister Nivedita University, Dr. Pal held academic positions at several esteemed institutions, including Global Institute of Management and Technology; Brainware University, Kolkata; JIS College of Engineering, Nadia; Elitte College of Engineering, Kolkata; and Nalanda Institute of Technology, Bhubaneswar.

Dr. Pal is the author or editor of more than 25 books published by leading international and he holds three patents. He currently serves as Series Editor for several notable book series, including Advances in Learning Analytics for Intelligent Cloud-IoT System, Internet of Things: Data-Centric Intelligent Computing, Informatics, and Communication (CRC Press, Taylor & Francis Group), and Conference Proceedings Series on Intelligent Systems, Data Engineering, and Optimization (CRC Press, Taylor & Francis Group). A prolific researcher, Dr. Pal has published extensively in Scopus-indexed, SCI, and SCIE journals and international conferences. He has served as the Organizing Chair for RICE 2019 and RICE 2020 (Vietnam), and ICICIT 2019 (Tunisia), and has delivered keynote addresses at ICICCT 2019 (Turkey) and ICTIDS 2019, 2021 (Malaysia). He has also contributed as Proceedings Editor for several international conferences. His professional contributions include serving as Associate Editor, Guest Editor, and Editorial Board Member for over 100 reputed international journals and conferences. Dr. Pal's research interests include cloud computing, big data, the Internet of Things (IoT), wireless sensor networks, and data analytics. He is an active member of numerous professional organizations, including IEEE, CSI, CSTA/ACM (USA), IAENG (Hong Kong), IRED (USA), MACEEE (India), IACSIT (Singapore), and MAASCIT (USA).

D. Balaganesh, Vice Dean of Computer Science and Informatics at the Berlin School of Business and Innovation, Germany. With 23 years of professional teaching experience spanning multiple countries including India, Oman, Malaysia, and Germany, Professor Balaganesh is a seasoned academic with a deep expertise in Information Technology and the latest wireless fidelity innovations. His research interests are focused on Data Science, AI, malware detection, web mining, and open-source technology.

As Vice Dean of Computer Science and Informatics, Professor Balaganesh has delivered comprehensive training in mobile applications, open-source ERP, software testing, and MySQL. He has developed significant software applications such as "Timetable Automation" and "Online Exam," and has also authored and edited numerous books and book chapters. His ability to elucidate complex technical concepts in a clear and precise manner is widely recognized. Actively involved in several professional bodies, Professor Balaganesh is an elected member of the Michigan Association for Computer Users in Learning (MACUL) in the USA, a member of the International Association of Engineers (IAENG) in Hong Kong, a member of the Institute for Engineering Research and Publication (IFERP), and a member of the Computer Science Teacher Association (CSTA) in New York. He serves on editorial boards, technical committees, and as a reviewer for numerous international journals from regions such as the Arab world, Poland, Europe, and the USA.

He is a key editor of the book "Intelligent Computing and Innovation on Data Science: Lecture Notes in Networks and Systems" and has edited two notable book chapters: "Internet-of-Robotic-Things and Ubiquitous Computing" and "The Internet of Medical Things (IoMT): Healthcare Transformation".

ORCiD: https: //orcid.org/0000-0003-3771-3795

Farshad Badie holds a PhD (earned from Aalborg University in Denmark) in Human-Centered Communication & Informatics, specializing in logic, information science, and learning/cognitive science within socio-technical communication/interaction systems. Dr. Badie's research primarily focuses on conceptual/logical languages and their applications in semantic knowledge modelling. Specifically, his research frameworks involve the logical, ontological, and semantic analysis of the fundamental components of meaning and cognition within cognitive/knowledge agents' interactions. Furthermore, he analytically explores the conceptual and logical aspects of change and innovation in human-centered and organisational contexts, considering both systematic and strategic viewpoints. Dr. Badie has a high record of publications in well-known journals, conference proceedings, and book series. Additionally, he serves as an editorial board member and reviewer for numerous journals. He has also participated as an organising and scientific committee member in over 170 conferences and workshops held across Europe, America, Australia, Asia, and Africa.

ORCiD: https: //orcid.org/0000-0003-1534-3332

作者簡介(中文翻譯)

**R. Anandan** 完成了在北美墨西哥的計算機科學與工程本科、碩士、博士學位及博士後學位 - D.Sc. 在計算機科學與工程。他是一名 IBMS/390 大型主機專業人士，並被印度工程師協會認證為特許工程師，還獲得了印度 Bose 科學學會的獎學金。他完成了 7 個主要來自 CISCO 的認證課程。目前，他在印度泰米爾納德邦金奈的 Vels 科技與高級研究學院（VISTAS）擔任計算機科學與工程系教授及創新與孵化主任，該學院是工程領域的先驅機構。他在計算機科學與工程領域擁有豐富的企業及各級學術經驗，對人工智慧、軟計算、機器學習、高效能計算、大數據分析、影像處理、3D 列印及知識工程等領域有深入的了解。在他的卓越指導下，有 8 名博士研究生正在進行研究，並在他的指導下有 11 名博士研究生獲得學位。他是許多知名國際和國內學會的成員，如香港國際工程師協會（IAENG）、紐約計算機科學教師協會（CSTA）、美國計算機與電子工程師協會、國際計算機科學與資訊技術協會（IACSIT）、印度工程師協會、印度計算機學會及印度技術教育學會（I.S.T.E）。他擔任多本國際期刊的編輯委員會成員、技術委員會成員及審稿人，並作為國際會議的委員會成員，與 Springer 和 Scopus 合作舉辦會議。

他在各種國際期刊上發表了超過 135 篇研究論文，包括 Scopus、SCI 和其他被引用的期刊。他在各種國際會議上發表了 90 篇論文，並獲得了來自國家和國際機構的 20 項獎項。他編著和編輯了 26 本書籍，其中包括 10 本國際書籍，並在各種國際書籍中發表了 30 章。他申請了 20 項專利，其中 1 項國際專利和 3 項印度專利已獲得批准。他的項目獲得了 AICTE 在 2021-2022 年度的研究促進計劃的資助，並在 2021-2022 年度的 MSME 創意黑客馬拉松中獲得了 3 項來自私營機構的項目資助。他為一些知名機構完成了顧問項目，並作為知識合作夥伴與領先的軟體公司合作。

**Souvik Pal** 是印度加爾各答 Sister Nivedita University（Techno India Group）計算機科學與工程系的教授。他擁有 KIIT 大學（布巴內斯瓦爾）的計算機科學與工程碩士和博士學位，並在學術和研究領域擁有超過十年的經驗。在加入 Sister Nivedita University 之前，Pal 博士曾在多所知名機構擔任學術職位，包括全球管理與技術學院、加爾各答 Brainware 大學、納迪亞 JIS 工程學院、加爾各答 Elitte 工程學院及布巴內斯瓦爾的 Nalanda 技術學院。

Pal 博士是超過 25 本由知名國際出版社出版的書籍的作者或編輯，並擁有三項專利。他目前擔任幾個著名書系的系列編輯，包括《智能雲物聯網系統的學習分析進展》、《物聯網：數據中心智能計算、信息學與通信》（CRC Press, Taylor & Francis Group）以及《智能系統、數據工程與優化的會議論文集系列》（CRC Press, Taylor & Francis Group）。作為一位多產的研究者，Pal 博士在 Scopus 索引、SCI 和 SCIE 期刊及國際會議上發表了大量論文。他曾擔任 RICE 2019 和 RICE 2020（越南）、ICICIT 2019（突尼西亞）的組織主席，並在 ICICCT 2019（土耳其）和 ICTIDS 2019、2021（馬來西亞）上發表主題演講。他還擔任多個國際會議的會議論文編輯。他的專業貢獻包括擔任超過 100 本知名國際期刊和會議的副編輯、客座編輯和編輯委員會成員。Pal 博士的研究興趣包括雲計算、大數據、物聯網（IoT）、無線傳感器網絡和數據分析。他是多個專業組織的活躍成員，包括 IEEE、CSI、CSTA/ACM（美國）、IAENG（香港）、IRED（美國）、MACEEE（印度）、IACSIT（新加坡）和 MAASCIT（美國）。

**D. Balaganesh** 是德國柏林商業與創新學院計算機科學與資訊學的副院長。擁有 23 年的專業教學經驗，涵蓋印度、阿曼、馬來西亞和德國等多個國家，Balaganesh 教授是一位經驗豐富的學者，對信息技術及最新的無線技術創新有深厚的專業知識。他的研究興趣集中在數據科學、人工智慧、惡意軟體檢測、網頁挖掘和開源技術上。

作為計算機科學與資訊學的副院長，Balaganesh 教授提供了全面的培訓，涵蓋移動應用程序、開源 ERP、軟體測試和 MySQL。他開發了多個重要的軟體應用程序，如「課表自動化」和「在線考試」，並編著和編輯了多本書籍和書章。他能夠清晰而精確地闡述複雜的技術概念，廣受認可。Balaganesh 教授積極參與多個專業機構，是美國密歇根州計算機用戶學習協會（MACUL）的當選成員、香港國際工程師協會（IAENG）的成員、工程研究與出版協會（IFERP）的成員，以及紐約計算機科學教師協會（CSTA）的成員。他在來自阿拉伯世界、波蘭、歐洲和美國的多個國際期刊擔任編輯委員會成員、技術委員會成員及審稿人。

他是書籍《智能計算與數據科學創新：網絡與系統的講義筆記》的主要編輯，並編輯了兩個重要的書章：《機器人物聯網與無處不在的計算》和《醫療物聯網（IoMT）：醫療轉型》。

ORCiD: https://orcid.org/0000-0003-3771-3795

**Farshad Badie** 擁有丹麥奧爾堡大學的博士學位，專攻以人為中心的通信與資訊學，專注於邏輯、信息科學及學習/認知科學在社會技術通信/互動系統中的應用。Badie 博士的研究主要集中在概念/邏輯語言及其在語義知識建模中的應用。具體而言，他的研究框架涉及認知/知識代理互動中意義和認知的基本組件的邏輯、本體論和語義分析。此外，他還分析性地探討了以人為中心和組織背景下變革和創新的概念和邏輯方面，考慮系統性和戰略性觀點。Badie 博士在知名期刊、會議論文集和書籍系列中擁有高水平的出版記錄。此外，他還擔任多個期刊的編輯委員會成員和審稿人。他參與了在歐洲、美國、澳大利亞、亞洲和非洲舉辦的超過 170 個會議和研討會的組織和科學委員會成員。

ORCiD: https://orcid.org/0000-0003-1534-3332

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