Federated Learning for Internet of Medical Things: Concepts, Paradigms, and Solutions
Bhattacharya, Pronaya, Verma, Ashwin, Tanwar, Sudeep
- 出版商: CRC
- 出版日期: 2023-06-16
- 售價: $4,500
- 貴賓價: 9.5 折 $4,275
- 語言: 英文
- 頁數: 290
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032300760
- ISBN-13: 9781032300764
海外代購書籍(需單獨結帳)
買這商品的人也買了...
-
Federated Learning Systems: Towards Next-Generation AI$7,010$6,660 -
Federated Learning with Python: Design and implement a federated learning system and develop applications using existing frameworks$1,880$1,786 -
Federated Learning for Wireless Networks$7,010$6,660 -
Federated Learning: A Comprehensive Overview of Methods and Applications$6,640$6,308 -
Federated Learning for Future Intelligent Wireless Networks$4,860$4,617 -
Handbook on Federated Learning: Advances, Applications and Opportunities$5,430$5,159 -
Federated AI for Real-World Business Scenarios$2,600$2,470 -
Security and Privacy in Federated Learning$6,360$6,042 -
Communication Efficient Federated Learning for Wireless Networks$6,640$6,308 -
Adversarial Multimedia Forensics$7,010$6,660 -
The Potential of Generative AI: Transforming Technology, Business and Art Through Innovative AI Applications$1,670$1,587 -
Federated Learning: Theory and Practice$4,520$4,294 -
Privacy-Preserving Machine Learning: A use-case-driven approach to building and protecting ML pipelines from privacy and security threats$1,840$1,748 -
Artificial Intelligence for Smart Manufacturing: Methods, Applications, and Challenges$5,690$5,406 -
Unleashing the Power of Data with Trusted AI: A guide for board members and executives$4,520$4,294 -
Security and Risk Analysis for Intelligent Edge Computing$7,030$6,679 -
Industrial Edge Computing: Architecture, Optimization and Applications$7,750$7,363 -
Mobile and Ubiquitous Systems: Computing, Networking and Services: 20th Eai International Conference, Mobiquitous 2023, Melbourne, Vic, Australia, Nov$4,040$3,838 -
LLM Model Security: Strategies, Best Practices, and Future Trends$1,100$1,045 -
LLM and Generative AI for Healthcare: A Comprehensive Guide$1,100$1,045 -
Generative AI Strategy and Implementation: Mastering Techniques and Advanced Applications$900$855 -
Generative AI Transformation: A Guide for Everyone$1,010$960 -
Generative AI for Manufacturing$2,340$2,223 -
Generative AI for Robotics and Autonomous Systems$2,300$2,185 -
Learn Python Generative AI: Journey from autoencoders to transformers to large language models (English Edition)$1,670$1,587
相關主題
商品描述
The book intends to present emerging Federated Learning (FL) based architectures, frameworks, and models in Internet-of-Medical Things (IoMT) applications. It intends to build up onto the basics of healthcare industry, the current data sharing requirements, and security and privacy issues in medical data sharing. Once IoMT is presented, the shift is towards the proposal of privacy-preservation in IoMT, and explains how FL presents a viable solution to these challenges. The claims are supported through lucid illustrations, tables, and examples that presents effective and secured FL schemes, simulations, and practical discussion on use-case scenarios in simple manner. The book tends to create opportunities of healthcare communities to build effective FL solutions around the presented themes, and the divergent ideas that prosper from reading the book. It also intends to present breakthroughs and foster innovation in FL-based research, specifically in IoMT domain. The emphasis is on understanding the contributions of IoMT in healthcare analytics and its aim is to give the insights including evolution, research directions, challenges and the way to empower healthcare services through federated learning.
The book also intends to cover the issues of ethical and social issues around the recent advancements in the field of decentralized Artificial Intelligence. The book is mainly intended for undergraduates, post-graduates, researchers, and healthcare professionals who wish to learn FL-based solutions right from scratch, and build practical FL solutions in different IoMT verticals.
商品描述(中文翻譯)
這本書旨在介紹新興的基於聯邦學習（Federated Learning，FL）的架構、框架和模型在物聯網醫療應用中的應用。它旨在建立在醫療保健行業的基礎上，介紹當前的數據共享要求以及醫療數據共享中的安全和隱私問題。一旦介紹了物聯網醫療，重點轉向在物聯網醫療中提出隱私保護的方案，並解釋FL如何提供對這些挑戰的可行解決方案。這些主張通過清晰的插圖、表格和例子得到支持，這些例子展示了有效且安全的FL方案、模擬和對使用案例場景的實際討論。該書旨在為醫療社區創造機會，圍繞所提出的主題以及從閱讀該書中繁榮的不同思想來建立有效的FL解決方案。它還旨在介紹FL研究中的突破和促進創新，特別是在物聯網醫療領域。重點是理解物聯網醫療在醫療分析中的貢獻，並旨在提供洞察力，包括發展、研究方向、挑戰以及通過聯邦學習增強醫療服務的方法。
該書還旨在涵蓋分散式人工智能領域最新進展所涉及的倫理和社會問題。該書主要面向本科生、研究生、研究人員和醫療專業人士，他們希望從頭開始學習基於FL的解決方案，並在不同的物聯網醫療垂直領域建立實用的FL解決方案。
作者簡介
Dr. Pronaya Bhattacharya is employed as an Assistant Professor with the Computer Science and Engineering Department, Institute of Technology, Nirma University, Ahmedabad, India. He has completed his PhD in CSE from Dr. A. P. J Abdul Kalam Technical University, Lucknow, Uttar Pradesh in 2021. He has completed his M. Tech in Information Technology from KSU, Mysore in 2012, and B. Tech from UPTU, Lucknow in 2008. He has over eight years of teaching experience. He has authored or co-authored 50 research papers in leading SCI journals and top core IEEE ComSoc conferences. Some of his top findings are published in IEEE-JBHI, IEEE-TVT, IEEE-IoTJ, IEEE-TNSE, Wiley-ETT, Elsevier-FGCS, Springer-OQEL, Springer-WPC, JER-Kuwait, ACM-MOBICOM, IEEE-Infocom, IEEE-ICC, and IEEE-CITS, IEEE-ICIEM, IEEE-CCCI, IEEE-ECAI, and many others. His research interests include optical switching, high-performance networking, Artificial Intelligence, Blockchain, and IoT.
Dr. Bhattacharya is awarded the best paper award in Springer ICRIC-2019, IEEE-ICIEM, IEEE-ECAI, and Springer COMS2-2021. He is working as a reviewer of reputed SCI journals IEEE-IoTJ, IEEE-TII, IEEE-Access, IEEE-Network, Wiley-ETT, Wiley-IJCS, Springer-MTAP, Elsevier-OSN, and Springer-WPC. He has been appointed in the technical program committee, and session chairs in IC4S-2019, IC4S-2020, IICT-2020, and ETCCS-2021, and many others around the globe. He is a Lifetime Member of professional societies like ISTE and IAENG.
Mr. Ashwin Verma is currently working as an Assistant Professor in the Computer Science and Engineering Department at the Institute of Technology, Nirma University. He is currently pursuing his PhD in CSE from Amity University, Jaipur, Rajasthan. He has done his M.Tech in CSE from NIT, Jaipur in 2013, and B.Tech in IT from DAVV, Indore. He has seven-year of teaching and academic experience and has taken a wide array of subjects like Machine Learning, Network Security, Computer Networks, and Algorithms. He has authored and co-authored more than 6 articles in leading SCI journals and IEEE conferences. Some of his top findings are published in IEEE-Journal of Biomedical and Health Informatics, Elsevier-Journal of Information Security and Applications, IEEE-ICIEM-2021, and many more. He is awarded the best research paper award in IEEE ICIEM-2021, London, United Kingdom. His research interests lie in Healthcare 4.0, Federated Learning, Blockchain Technology, and 5G and beyond communications.
Dr. Sudeep Tanwar (M'15, SM'21) is currently working as a Professor of the Computer Science and Engineering Department at the Institute of Technology, Nirma University, India. Dr. Tanwar is a visiting Professor in Jan Wyzykowski University in Polkowice, Poland and University of Pitestiin Pitesti, Romania. Dr. Tanwar's research interests include Blockchain Technology, Wireless Sensor Networks, Fog Computing, Smart Grid, and IoT. He has authored 02 books and edited 13 books, more than 200 technical papers, including top journals and top conferences, such as IEEE TNSE, TVT, TII, WCM, Networks, ICC, GLOBECOM, and INFOCOM. Dr. Tanwar initiated the research field of blockchain technology adoption in various verticals in 2017. His h-index is 43.
Dr. Tanwar actively serves his research communities in various roles. He is currently serving the editorial boards of Physical Communication, Computer Communications, International Journal of Communication System, and Security and Privacy. He has been awarded the best research paper awards from IEEE GLOBECOM 2018, IEEE ICC 2019, and Springer ICRIC-2019. He has served many international conferences as a member of the organizing committee, such as publication chair for FTNCT-2020, ICCIC 2020, WiMob2019, member of the advisory board for ICACCT-2021, ICACI 2020, workshop co-chair for CIS 2021, and general chair for IC4S 2019, 2020, ICCSDF 2020. Dr. Tanwar is a final voting member for IEEE ComSoc Tactile Internet Committee in 2020. He is a Senior Member of IEEE, CSI, IAENG, ISTE, CSTA, and a member of the Technical Committee on Tactile Internet of IEEE Communication Society.
作者簡介(中文翻譯)
Dr. Pronaya Bhattacharya目前在印度艾哈邁達巴德的Nirma大學資訊科學與工程系擔任助理教授。他於2021年從阿卜杜勒·卡拉姆技術大學獲得計算機科學與工程博士學位。他於2012年在Mysore的KSU獲得資訊技術碩士學位，並於2008年在Lucknow的UPTU獲得學士學位。他擁有超過八年的教學經驗。他在領先的SCI期刊和頂級IEEE ComSoc會議上撰寫或合著了50篇研究論文。他的一些重要發現發表在IEEE-JBHI、IEEE-TVT、IEEE-IoTJ、IEEE-TNSE、Wiley-ETT、Elsevier-FGCS、Springer-OQEL、Springer-WPC、JER-Kuwait、ACM-MOBICOM、IEEE-Infocom、IEEE-ICC、IEEE-CITS、IEEE-ICIEM、IEEE-CCCI、IEEE-ECAI等期刊上。他的研究興趣包括光交換、高性能網絡、人工智能、區塊鏈和物聯網。
Dr. Bhattacharya在Springer ICRIC-2019、IEEE-ICIEM、IEEE-ECAI和Springer COMS2-2021等會議上獲得了最佳論文獎。他是知名SCI期刊IEEE-IoTJ、IEEE-TII、IEEE-Access、IEEE-Network、Wiley-ETT、Wiley-IJCS、Springer-MTAP、Elsevier-OSN和Springer-WPC的審稿人。他被任命為IC4S-2019、IC4S-2020、IICT-2020和ETCCS-2021等國際會議的技術計劃委員會成員和會議主席。他是ISTE和IAENG等專業協會的終身會員。
Ashwin Verma先生目前在印度Nirma大學的資訊科學與工程系擔任助理教授。他目前正在拉賈斯坦邦賈伊普爾的Amity大學攻讀計算機科學與工程博士學位。他於2013年在賈伊普爾的NIT獲得計算機科學與工程碩士學位，並於Indore的DAVV獲得資訊技術學士學位。他擁有七年的教學和學術經驗，並教授過機器學習、網絡安全、計算機網絡和算法等多個科目。他在領先的SCI期刊和IEEE會議上撰寫和合著了超過6篇文章。他的一些重要發現發表在IEEE生物醫學和健康信息學期刊、Elsevier信息安全和應用期刊、IEEE-ICIEM-2021等期刊上。他在倫敦的IEEE ICIEM-2021獲得了最佳研究論文獎。他的研究興趣包括醫療4.0、聯邦學習、區塊鏈技術和5G及更高級別的通信。
Dr. Sudeep Tanwar (M'15, SM'21)目前在印度Nirma大學的資訊科學與工程系擔任教授。他還是波蘭波爾科維采的Jan Wyzykowski大學和羅馬尼亞皮特什蒂的皮特什蒂大學的客座教授。Tanwar博士的研究興趣包括區塊鏈技術、無線傳感器網絡、霧計算、智能電網和物聯網。他撰寫了2本書並編輯了13本書，發表了200多篇技術論文，包括頂級期刊和頂級會議，如IEEE TNSE、TVT、TII、WCM、Networks、ICC、GLOBECOM和INFOCOM。Tanwar博士於2017年開創了區塊鏈技術在各個垂直領域的應用研究領域。他的h指數為43。
Tanwar博士在各種角色中積極服務於他的研究社區。他目前是Physical Communication、Computer Communications、International Journal of Communication System和Security and Privacy等期刊的編輯委員會成員。他曾獲得IEEE GLOBECOM 2018、IEEE ICC 2019和Springer ICRIC-2019的最佳研究論文獎。他曾擔任許多國際會議的組織委員會成員，例如FTNCT-2020的出版主席、ICCIC 2020的出版主席、WiMob2019的成員、ICACCT-2021的顧問委員會成員、ICACI 2020的顧問委員會成員、CIS 2021的研討會主席以及IC4S 2019、2020、ICCSDF 2020的總主席。Tanwar博士是2020年IEEE ComSoc觸覺互聯網委員會的最終投票成員。
