Convergence of Ai, Federated Learning, and Blockchain for Sustainable Development
暫譯: 人工智慧、聯邦學習與區塊鏈在可持續發展中的融合
Kumar, Mohit, Nayyar, Anand, Singh, Ashutosh Kumar
相關主題
商品描述
This book provides current state of the art along with an insight of recent research trends and open issues, challenges, and future research direction for the academician, analyzer, researcher, writers, and authors. It also provides an opportunity to exchange knowledge in the field of IoT-enabled smart systems, Industry 4.0, networking, cyber-physical system, computing paradigms, and security with various tools and methods used for industry-oriented intelligent-based IoT applications. This advanced research edited book focuses on emerging and advancing technology-federated machine learning, blockchain, and artificial intelligence for real-time Internet of things (IoT) application to solve the real-world problems and make the life of human more conformable. The objective of the proposed book is to develop privacy preserving model for IoT applications and improve the security, privacy, reliability, and sustainability of the systems. This book motivates and enhances the quality of research and commercialization in the fields of AI, Industry 4.0, federated learning, and blockchain.
商品描述(中文翻譯)
本書提供了當前的最新技術狀態，並深入探討近期的研究趨勢、未解決的問題、挑戰以及未來的研究方向，適合學者、分析師、研究人員、作家和作者。它還提供了一個在物聯網（IoT）驅動的智慧系統、工業4.0、網絡、網絡物理系統、計算範式和安全性等領域交流知識的機會，並使用各種工具和方法來應對以行業為導向的智能物聯網應用。本書專注於新興和進步的技術聯邦機器學習、區塊鏈和人工智慧，旨在為實時物聯網應用解決現實世界的問題，並使人類生活更加舒適。本書的目標是為物聯網應用開發隱私保護模型，並提高系統的安全性、隱私性、可靠性和可持續性。本書激勵並提升了人工智慧、工業4.0、聯邦學習和區塊鏈領域的研究質量和商業化。
作者簡介
Dr. Mohit Kumar is an assistant professor in the Department of Information Technology at Dr. B R Ambedkar National Institute of Technology, Jalandhar, India. He received his Ph.D. degree from Indian Institute of Technology Roorkee in the field of cloud computing in 2018, and M.Tech. degree in Computer Science and Engineering from ABV-Indian Institute of Information Technology Gwalior, India, in 2013. He has received his B.Tech. degree in Computer Science and Engineering from MJP Rohilkhand University Bareilly, 2009. His research topics cover the areas of cloud computing, fog/ edge computing, Internet of things, federated learning, blockchain, and artificial intelligence. He has published more than 40 research articles in reputed journals, IEEE transactions and international conferences. He has been a session chair and keynote speaker of many international conferences, webinars, FDP, and STC in India. He has guided six M.Tech. theses and guiding 5 Ph.D. scholars.
Dr. Anand Nayyar received Ph.D. (Computer Science) from Desh Bhagat University in 2017 in the area of wireless sensor networks, swarm intelligence, and network simulation. He is acting as an associate editor for Wireless Networks (Springer), Computer Communications (Elsevier), International Journal of Sensor Networks (IJSNET) (Inderscience), Frontiers in Computer Science, PeerJ Computer Science, Human Centric Computing and Information Sciences (HCIS), Tech Science Press-CSSE, IASC, IET-Quantum Communications, IET Wireless Sensor Systems, IET Networks, IJDST, IJISP, IJCINI, IJGC, and IJSIR. He has reviewed more than 2500+ articles for diverse Web of Science and Scopus Indexed Journals. He is currently researching in the area of wireless sensor networks, Internet of things, swarm intelligence, cloud computing, artificial intelligence, drones, blockchain, cyber-security, healthcare informatics, big data, and wireless communications.
Dr. Ashutosh Kumar Singh obtained B.Tech. in Information Technology from Uttar Pradesh Technical University Lucknow (now AKTU Lucknow), India, in 2011, M.Tech. degree in Computer Science and Engineering from Indian Institute of Information Technology and Management Gwalior, India, in 2014, and Ph.D. in CSE from Motilal Nehru National Institute of Technology Allahabad, India. Now, Dr. Singh is currently working as an assistant professor in the Department of Computer Science and Engineering, United College of Engineering and Research Allahabad, India. Till date, Dr. Singh has published 12 publications in reputed journals (including 6 SCI, 10 Scopus Indexed) and conferences (12 International Scopus Indexed Conferences), reviewers of various reputed journals including IEEE transactions, conferences, and books, guided 2 M.Tech. theses, currently guiding 03 M.Tech. theses. Dr. Singh has membership of IEEE and ACM. His research interests include network optimization, software-defined networking, machine learning, IoT, and edge computing.
Dr. Yanhui Guo received the B.S. degree in automatic control from Zhengzhou University, China, the M.S. degree in pattern recognition and intelligence system from the Harbin Institute of Technology, China, and the Ph.D. degree from the Department of Computer Science, Utah State University, USA. He was a research fellow with the Department of Radiology, University of Michigan, and also an assistant professor with St. Thomas University. He is currently an assistant professor with the Department of Computer Science, University of Illinois, at Springfield. He has published more than 70 journal articles and 20 top conference articles and completed more than ten grant funded research projects. His research areas include computer vision, machine learning, big data analytics, computer-aided detection/diagnosis, and computer assist surgery. He worked as an associate editor of different international journals and Reviewer for top journals and conferences.
作者簡介(中文翻譯)
莫希特·庫馬博士（Dr. Mohit Kumar）是印度賈蘭達爾的德里·B·R·安貝德卡國立技術學院（Dr. B R Ambedkar National Institute of Technology）資訊科技系的助理教授。他於2018年在印度理工學院魯爾基（Indian Institute of Technology Roorkee）獲得雲端計算領域的博士學位，並於2013年在印度ABV資訊科技與管理學院（ABV-Indian Institute of Information Technology Gwalior）獲得計算機科學與工程的碩士學位。他於2009年在MJP羅希爾坎德大學（MJP Rohilkhand University Bareilly）獲得計算機科學與工程的學士學位。他的研究主題涵蓋雲端計算、霧計算/邊緣計算、物聯網、聯邦學習、區塊鏈和人工智慧等領域。他在知名期刊、IEEE 交易和國際會議上發表了超過40篇研究文章。他曾擔任多個國際會議、網路研討會、FDP和STC的會議主席和主題演講者。他指導了六篇碩士論文，並指導五位博士生。
阿南德·奈亞爾博士（Dr. Anand Nayyar）於2017年在德什·巴哈特大學（Desh Bhagat University）獲得計算機科學博士學位，研究領域為無線感測器網路、群體智慧和網路模擬。他擔任《無線網路》（Wireless Networks, Springer）、《計算機通訊》（Computer Communications, Elsevier）、《國際感測器網路期刊》（International Journal of Sensor Networks, IJSNET, Inderscience）、《計算機科學前沿》（Frontiers in Computer Science）、《PeerJ計算機科學》、《以人為中心的計算與資訊科學》（Human Centric Computing and Information Sciences, HCIS）、Tech Science Press-CSSE、IASC、IET-量子通訊（IET-Quantum Communications）、IET無線感測器系統（IET Wireless Sensor Systems）、IET網路（IET Networks）、IJDST、IJISP、IJCINI、IJGC和IJSIR的副編輯。他為多個Web of Science和Scopus索引的期刊審稿超過2500篇文章。他目前的研究領域包括無線感測器網路、物聯網、群體智慧、雲端計算、人工智慧、無人機、區塊鏈、網路安全、健康資訊學、大數據和無線通訊。
阿修托什·庫馬·辛格博士（Dr. Ashutosh Kumar Singh）於2011年在北方邦技術大學（Uttar Pradesh Technical University Lucknow，現為AKTU Lucknow）獲得資訊科技的學士學位，於2014年在印度資訊科技與管理學院（Indian Institute of Information Technology and Management Gwalior）獲得計算機科學與工程的碩士學位，並在印度莫蒂拉爾·尼赫魯國立技術學院（Motilal Nehru National Institute of Technology Allahabad）獲得計算機科學與工程的博士學位。辛格博士目前在印度阿拉哈巴德的聯合工程與研究學院（United College of Engineering and Research Allahabad）擔任計算機科學與工程系的助理教授。至今，辛格博士在知名期刊（包括6篇SCI、10篇Scopus索引）和會議（12篇國際Scopus索引會議）上發表了12篇出版物，並擔任多個知名期刊、會議和書籍的審稿人，指導了2篇碩士論文，目前正在指導3篇碩士論文。辛格博士是IEEE和ACM的會員。他的研究興趣包括網路優化、軟體定義網路、機器學習、物聯網和邊緣計算。
郭彥輝博士（Dr. Yanhui Guo）在中國鄭州大學獲得自動控制的學士學位，在哈爾濱工業大學獲得模式識別與智能系統的碩士學位，並在美國猶他州立大學的計算機科學系獲得博士學位。他曾在密西根大學放射科擔任研究員，並在聖托馬斯大學擔任助理教授。目前，他是伊利諾伊州斯普林菲爾德大學計算機科學系的助理教授。他發表了超過70篇期刊文章和20篇頂級會議文章，並完成了超過十個獲資助的研究項目。他的研究領域包括計算機視覺、機器學習、大數據分析、計算機輔助檢測/診斷和計算機輔助手術。他曾擔任多個國際期刊的副編輯，並為頂級期刊和會議擔任審稿人。
