Federated Learning for Smart Communication Using Iot Application
暫譯: 智慧通訊中的聯邦學習與物聯網應用
Kishor, Kaushal, Nand, Parma, Jain, Vishal
相關主題
商品描述
The effectiveness of federated learning in high-performance information systems and informatics-based solutions for addressing current information support requirements is demonstrated in this book. To address heterogeneity challenges in Internet of Things (IoT) contexts, Federated Learning for Smart Communication using IoT Application analyses the development of personalized federated learning algorithms capable of mitigating the detrimental consequences of heterogeneity in several dimensions. It includes case studies of IoT-based human activity recognition to show the efficacy of personalized federated learning for intelligent IoT applications.
Features:
- Demonstrates how federated learning offers a novel approach to building personalized models from data without invading users' privacy
- Describes how federated learning may assist in understanding and learning from user behavior in IoT applications while safeguarding user privacy
- Presents a detailed analysis of current research on federated learning, providing the reader with a broad understanding of the area
- Analyses the need for a personalized federated learning framework in cloud-edge and wireless-edge architecture for intelligent IoT applications
- Comprises real-life case illustrations and examples to help consolidate understanding of topics presented in each chapter
This book is recommended for anyone interested in federated learning-based intelligent algorithms for smart communications.
商品描述(中文翻譯)
本書展示了聯邦學習在高效能資訊系統及基於資訊的解決方案中，應對當前資訊支援需求的有效性。為了解決物聯網（IoT）環境中的異質性挑戰，《使用物聯網應用的智慧通信聯邦學習》分析了能夠減輕多維度異質性不利影響的個性化聯邦學習算法的發展。書中包含了基於物聯網的人類活動識別案例研究，以展示個性化聯邦學習在智慧物聯網應用中的有效性。
特色：
- 展示聯邦學習如何提供一種新穎的方法，從數據中構建個性化模型，而不侵犯用戶隱私
- 描述聯邦學習如何幫助理解和學習物聯網應用中的用戶行為，同時保護用戶隱私
- 提供對當前聯邦學習研究的詳細分析，使讀者對該領域有廣泛的理解
- 分析在雲邊和無線邊緣架構中對個性化聯邦學習框架的需求，以支持智慧物聯網應用
- 包含現實案例插圖和示例，以幫助鞏固對每章所呈現主題的理解
本書推薦給任何對基於聯邦學習的智慧算法在智慧通信中感興趣的人士。
作者簡介
Dr. Kaushal Kishor
He received his Ph.D. in Computer science and engineering from AKTU Lucknow, in the domain of Mobile Ad hoc Network. M.Tech & B.Tech in Computer Science & Engineering from UPTU Lucknow. Currently, he is working in ABES Institute of Technology, Ghaziabad as Professor Information Technology. He has supervised more than 50 projects for graduate and post graduate students. He has more than 19 years of experience of teaching. He is Gate Qualified 2003 score 94.5 percentile. He has book published and edited (1) "Cloud-based Intelligent Informative Engineering for Society 5.0" pp. 1-234. Chapman and Hall/CRC., 2023, eBook ISBN: 9781003213895 (2) Design and Analysis Algorithms (ISBN NO. 978-93-81695-20-3) (3) Computer Networks (ISBN NO. 978-93-81695-27-2) (4) Compiler Design (ISBN NO. 938169530 x and ISBN-13 9789381695302) (5) Design and Analysis of Algorithms: Techniques and Control Management (ISBN NO. 978-81-8220-516-1) (6) Computer Networks a System Approach (ISBN NO. 978-81-8220-516-3) (7) Compiler Design Principles, Techniques, and Tools (ISBN:978-81-8220-626-7) for various engineering field like B.Tech. and MCA student. He has published 40 papers in peer reviewed international/National journals and conferences. His research interest includes Artificial Intelligence, Computer Networks, Algorithm, Compiler Design Wireless and Sensor Networking.
ORCID Profile- https: //orcid.org/0000-0002-7131-1389
Dr. PARMA NAND
He is PhD. in Computer Science & Engineering from IIT Roorkee, M.Tech & B.Tech in Computer Science & Engineering from IIT Delhi. Prof Parma Nand is having more than 29 years of experience both in industry and academia. He had received various awards like best teacher award from Union Minister, best students project guide award from Microsoft in 2015 and best faculty award from cognizant in 2016. He had successfully completed government funded projects and spearheaded last five IEEE International conferences on Computing, Communication & Automation (ICCCA), IEEE students chapters, Technovation Hackathon 2019, Technovation Hackathon 2020, International Conference on Computing, Communication, and Intelligent Systems (ICCCIS-2021). He is member Executive Council of IEEE UP section (R-10), member Executive Committee IEEE Computer and Signal Processing Society, member Exec. India council Computer Society, member Executive Council Computer Society of India, Noida section and has acted as an observer in many IEEE conferences. He is also having active memberships of ACM, IEEE, CSI, ACEEE, ISOC, IAENG, and IASCIT. He is life time member of Soft Computing Research Society (SCRS) and ISTE.
He has delivered many invited/key notes talks at International & National Conferences/ Workshops/Seminars in India & abroad. He has published more than 150 papers in peer reviewed international/national journals and conferences.
Dr. Vishal Jain
He is presently working as an Associate Professor at Department of Computer Science and Engineering, Sharda School of Engineering and Technology, Sharda University, Greater Noida, U. P., India. Before that, he has worked for several years as an Associate Professor at Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM), New Delhi. He has more than 16 years of experience in the academics. He obtained Ph.D (CSE), M.Tech (CSE), MBA (HR), MCA, MCP and CCNA. He has more than 1130 research citation indices with Google Scholar (h-index score 17 and i-10 index 27). He has authored more than 95 research papers in reputed conferences and journals, including Web of Science and Scopus. He has authored and edited more than 45 books with various reputed publishers, including Elsevier, Springer, DeGruyter, IET, River Publishers, Apple Academic Press, CRC, Taylor and Francis Group, Scrivener, Wiley, Emerald, NOVA Science, Bentham Books and IGI-Global. He is the series editor of 10 book series. He is life member of CSI, ISTE and senior member of IEEE. His research areas include information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, and sensor networks. He received a Young Active Member Award for the year 2012-13 from the Computer Society of India, Best Faculty Award for the year 2017 and Best Researcher Award for the year 2019 from BVICAM, New Delhi. ORCID ID: https: //orcid.org/0000-0003-1126-7424.
Dr. Neetesh Saxena
He is currently an Associate Professor (lecturer) with the School of Computer Science and Informatics at Cardiff University, UK with more than 14 years of teaching/research experience in academia. Before joining CU, he was an Assistant Professor with Bournemouth University, UK. Prior to this, he was a Post-Doctoral Researcher in the School of Electrical and Computer Engineering at the Georgia Institute of Technology, USA. He was also with the Department of Computer Science, The State University of New York (SUNY) Korea, South Korea as a Post-Doctoral Researcher and a Visiting Scholar at the Department of Computer Science, Stony Brook University, USA. He earned my PhD in Computer Science and Engineering from Indian Institute of Technology (IIT), Indore, India. He was a DAAD Scholar at Bonn-Aachen International Center for Information Technology (B-IT), Rheinische- Friedrich-Wilhelms Universität, Bonn, Germany and was also a TCS Research Scholar. He is a Senior Member of IEEE and a member of IEEE SMC, IEEE ComSoc, ACM, and Eta Kappa Nu.
Dr. Gaurav Agarwal
Ph. D (CSE) IIT (ISM), Dhanbad M. Tech (CSE) B.E. (CSE) NBA Expert 2 International Awards 1 National Award 6+ SCI & 6+ SCOPUS 4 National Patents (2 Granted) 123 Citations with h-index 5, Currently working as Associate Professor, Galgotias University, 20+ years of teaching experience with leading Engineering Institutions, Working for NBA Accreditation.
Dr. Rani Astya
She is serving the organization as a role of Assistant Professor in the Department of Computer Science & Engineering. Along with it, she is leading team-member of IGAP of this university She pursued her graduation (B.E.) in computer science Engg from Jiwaji University(Gwalior, MP) and post graduation(M.Tech) in Information Technology from IIT Roorkee Her research domains are OPTIMAL PATH PLANNING FOR MOBILE ROBOTS by Quadtree method.
作者簡介(中文翻譯)
**Dr. Kaushal Kishor**
他在AKTU Lucknow獲得計算機科學與工程的博士學位，研究領域為移動自組網（Mobile Ad hoc Network）。他在UPTU Lucknow獲得計算機科學與工程的碩士（M.Tech）和學士（B.Tech）學位。目前，他在Ghaziabad的ABES技術學院擔任資訊技術教授。他已指導超過50個本科及研究生項目，擁有超過19年的教學經驗。他於2003年通過GATE考試，得分為94.5百分位。他出版和編輯的書籍包括（1）《Cloud-based Intelligent Informative Engineering for Society 5.0》，頁碼1-234，Chapman and Hall/CRC，2023，電子書ISBN：9781003213895；（2）《Design and Analysis Algorithms》（ISBN NO. 978-93-81695-20-3）；（3）《Computer Networks》（ISBN NO. 978-93-81695-27-2）；（4）《Compiler Design》（ISBN NO. 938169530 x 和 ISBN-13 9789381695302）；（5）《Design and Analysis of Algorithms: Techniques and Control Management》（ISBN NO. 978-81-8220-516-1）；（6）《Computer Networks a System Approach》（ISBN NO. 978-81-8220-516-3）；（7）《Compiler Design Principles, Techniques, and Tools》（ISBN:978-81-8220-626-7），適用於B.Tech和MCA等各種工程領域的學生。他在同行評審的國際/國內期刊和會議上發表了40篇論文。他的研究興趣包括人工智慧、計算機網絡、演算法、編譯器設計、無線和感測器網絡。
ORCID Profile - https://orcid.org/0000-0002-7131-1389
**Dr. PARMA NAND**
他在IIT Roorkee獲得計算機科學與工程的博士學位，並在IIT Delhi獲得計算機科學與工程的碩士（M.Tech）和學士（B.Tech）學位。Parma Nand教授擁有超過29年的產業和學術經驗。他曾獲得多項獎項，包括2015年來自聯邦部長的最佳教師獎、2015年來自微軟的最佳學生項目指導獎，以及2016年來自Cognizant的最佳教學獎。他成功完成了多個政府資助的項目，並主導了最近五屆IEEE國際計算、通信與自動化會議（ICCCA）、IEEE學生分會、Technovation Hackathon 2019、Technovation Hackathon 2020、國際計算、通信與智能系統會議（ICCCIS-2021）。他是IEEE UP區域（R-10）執行委員會成員、IEEE計算機與信號處理學會執行委員會成員、印度計算機學會執行委員會成員、Noida區域印度計算機學會執行委員會成員，並在多個IEEE會議中擔任觀察員。他還是ACM、IEEE、CSI、ACEEE、ISOC、IAENG和IASCIT的活躍會員。他是軟計算研究學會（SCRS）和ISTE的終身會員。
他在國內外的國際和國家會議/研討會上發表了多場受邀/主題演講。他在同行評審的國際/國內期刊和會議上發表了超過150篇論文。
**Dr. Vishal Jain**
他目前在印度大諾伊達的Sharda大學Sharda工程與技術學院的計算機科學與工程系擔任副教授。在此之前，他曾在新德里的Bharati Vidyapeeth計算機應用與管理學院（BVICAM）擔任副教授多年。他在學術界擁有超過16年的經驗。他獲得了計算機科學與工程的博士學位（Ph.D.），計算機科學與工程的碩士學位（M.Tech），人力資源的MBA，計算機應用碩士（MCA），微軟認證專業（MCP）和思科認證網路助理（CCNA）。他在Google Scholar上擁有超過1130次的研究引用指數（h-index得分17和i-10指數27）。他在知名會議和期刊上發表了超過95篇研究論文，包括Web of Science和Scopus。他與多家知名出版商（包括Elsevier、Springer、DeGruyter、IET、River Publishers、Apple Academic Press、CRC、Taylor and Francis Group、Scrivener、Wiley、Emerald、NOVA Science、Bentham Books和IGI-Global）共同編著和編輯了超過45本書籍。他是10本書系列的系列編輯。他是CSI、ISTE的終身會員，並且是IEEE的高級會員。他的研究領域包括信息檢索、語義網、語義工程、數據挖掘、自組網和感測器網絡。他曾獲得印度計算機學會2012-13年度的青年活躍會員獎、2017年度的最佳教師獎和2019年度的最佳研究者獎（來自BVICAM，新德里）。ORCID ID: https://orcid.org/0000-0003-1126-7424。
**Dr. Neetesh Saxena**
他目前是英國卡迪夫大學計算機科學與信息學學院的副教授（講師），擁有超過14年的教學/研究經驗。在加入卡迪夫大學之前，他曾在英國博恩茅斯大學擔任助理教授。在此之前，他是美國喬治亞理工學院電氣與計算機工程學院的博士後研究員。他還曾在南韓的紐約州立大學（SUNY）計算機科學系擔任博士後研究員，並在美國石溪大學計算機科學系擔任訪問學者。他在印度理工學院（IIT）印多爾獲得計算機科學與工程的博士學位。他曾是德國波恩-亞琛國際信息技術中心（B-IT）的DAAD獎學金獲得者，並且也是TCS研究獎學金獲得者。他是IEEE的高級會員，並且是IEEE SMC、IEEE ComSoc、ACM和Eta Kappa Nu的成員。
**Dr. Gaurav Agarwal**
計算機科學與工程博士（Ph.D.）於IIT（ISM），丹巴德；計算機科學與工程碩士（M.Tech）；計算機科學與工程學士（B.E.）。NBA專家，獲得2項國際獎項和1項國家獎項，擁有6+ SCI和6+ SCOPUS論文，4項國家專利（2項已授權），引用123次，h-index為5。目前在Galgotias大學擔任副教授，擁有超過20年的教學經驗，曾在多所知名工程機構工作，並致力於NBA認證。
**Dr. Rani Astya**
她在計算機科學與工程系擔任助理教授。她同時也是該大學IGAP的團隊成員。她在Jiwaji大學（印度Gwalior，MP）獲得計算機科學工程的學士學位（B.E.），並在IIT Roorkee獲得信息技術的碩士學位（M.Tech）。她的研究領域為使用四叉樹方法進行移動機器人的最佳路徑規劃。
