Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications
暫譯: 使用聯邦學習的人工智慧：基礎、挑戰與應用
Elngar, Ahmed A., Oliva, Diego, Balas, Valentina E.
相關主題
商品描述
Federated machine learning is a novel approach to combining distributed machine learning, cryptography, security, and incentive mechanism design. It allows organizations to keep sensitive and private data on users or customers decentralized and secure, helping them comply with stringent data protection regulations like GDPR and CCPA.
Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications enables training AI models on a large number of decentralized devices or servers, making it a scalable and efficient solution. It also allows organizations to create more versatile AI models by training them on data from diverse sources or domains. This approach can unlock innovative use cases in fields like healthcare, finance, and IoT, where data privacy is paramount.
The book is designed for researchers working in Intelligent Federated Learning and its related applications, as well as technology development, and is also of interest to academicians, data scientists, industrial professionals, researchers, and students.
商品描述(中文翻譯)
聯邦機器學習是一種新穎的方法，結合了分散式機器學習、密碼學、安全性和激勵機制設計。它允許組織將用戶或客戶的敏感和私密數據保持去中心化和安全，幫助他們遵守嚴格的數據保護法規，如GDPR和CCPA。
《使用聯邦學習的人工智慧：基礎、挑戰與應用》使得在大量去中心化的設備或伺服器上訓練AI模型成為可能，這是一個可擴展且高效的解決方案。它還允許組織通過在來自不同來源或領域的數據上進行訓練，來創建更具多樣性的AI模型。這種方法可以在醫療保健、金融和物聯網等領域解鎖創新的使用案例，這些領域對數據隱私至關重要。
本書旨在為從事智能聯邦學習及其相關應用的研究人員、技術開發人員，以及對學術界、數據科學家、工業專業人士、研究人員和學生感興趣的人士提供參考。
作者簡介
Dr. Ahmed A. Elngar is an Associate Professor and Head of the Computer Science Department at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt. He is the Founder and Head of the Scientific Innovation Research Group (SIRG) and a Director of the Technological and Informatics Studies Center (TISC), Faculty of Computers and Artificial Intelligence, Beni-Suef University. Dr. Elngar has more than 105 scientific research papers published in prestigious international journals and over 45 books covering diverse topics such as data mining, intelligent systems, social networks, and smart environments. Dr. Elngar is a collaborative researcher and is a member of the Egyptian Mathematical Society (EMS) and the International Rough Set Society (IRSS).
Dr. Diego Oliva received a B.S. degree in Electronics and Computer Engineering from the Industrial Technical Education Center (CETI) of Guadalajara, Mexico in 2007, an M.Sc. degree in Electronic Engineering and Computer Sciences from the University of Guadalajara, Mexico in 2010, and a Ph.D. in Informatics in 2015 from the Universidad Complutense de Madrid. Currently, he is an Associate Professor at the University of Guadalajara in Mexico. In 2017 he was a visiting professor at the Tomsk Polytechnic University in Russia, and he has the distinction of National Researcher Rank 2 by the Mexican Council of Science and Technology. In 2022 he was recognized as a Highly Cited Researcher by Clarivate WOS. Since 2017 he has been a member of the IEEE and a Senior Member since 2022. Dr. Oliva is a coauthor of more than 50 papers in international journals, and 5 books in international editorials and has 2 patents submitted in Mexico. He was the principal investigator of two fully funded Mexican projects and participated in two international projects. His research interests include evolutionary and swarm algorithms, machine learning, hybrid algorithms, image processing, and computational intelligence.
Dr. Valentina E. Balas is currently a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, "Aurel Vlaicu" University of Arad, Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is the author of more than 300 research papers in referred journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation. She is the Editor-in-Chief of the International Journal of Advanced Intelligence Paradigms (IJAIP) and to International Journal of Computational Systems Engineering (IJCSysE). She is an Editorial Board member of several national and international journals and an evaluator expert for national and international projects and Ph.D. Thesis. Dr. Balas is the director of the Intelligent Systems Research Centre at Aurel Vlaicu University of Arad and Director of the Department of International Relations, Programs, and Projects at the same university. She served as General Chair of the International Workshop Soft Computing and Applications (SOFA) in eight editions from 2005-2018 held in Romania and Hungary. Dr. Balas was past Vice-president (Awards) of the IFSA International Fuzzy Systems Association Council (2013-2015) and is a Joint Secretary of the Governing Council of the Forum for Interdisciplinary Mathematics (FIM), - A Multidisciplinary Academic Body, in India. She is also the director of the Department of International Relations, Programs, and Projects and head of the Intelligent Systems Research Centre at Aurel Vlaicu University of Arad, Romania.
作者簡介(中文翻譯)
阿赫邁德·A·艾爾納爾博士是埃及貝尼蘇非大學計算機與人工智慧學院的副教授及計算機科學系主任。他是科學創新研究小組（SIRG）的創始人及負責人，並擔任計算機與人工智慧學院技術與資訊研究中心（TISC）的主任。艾爾納爾博士在國際知名期刊上發表了超過105篇科學研究論文，並出版了超過45本涵蓋數據挖掘、智能系統、社交網絡和智能環境等多樣主題的書籍。艾爾納爾博士是一位合作研究者，並且是埃及數學學會（EMS）和國際粗集社會（IRSS）的成員。
迭戈·奧利瓦博士於2007年在墨西哥瓜達拉哈拉的工業技術教育中心（CETI）獲得電子與計算機工程學士學位，於2010年在瓜達拉哈拉大學獲得電子工程與計算機科學碩士學位，並於2015年在馬德里康普頓斯大學獲得資訊學博士學位。目前，他是墨西哥瓜達拉哈拉大學的副教授。2017年，他曾在俄羅斯的湯姆斯克理工大學擔任訪問教授，並獲得墨西哥科學與技術委員會的國家研究者二級榮譽。2022年，他被Clarivate WOS認定為高被引研究者。自2017年以來，他一直是IEEE的成員，並自2022年起成為高級會員。奧利瓦博士是超過50篇國際期刊論文的共同作者，並在國際出版社出版了5本書籍，還在墨西哥提交了2項專利。他是兩個全額資助的墨西哥項目的主要研究者，並參與了兩個國際項目。他的研究興趣包括進化與群體算法、機器學習、混合算法、影像處理和計算智能。
瓦倫蒂娜·E·巴拉斯博士目前是羅馬尼亞阿拉德的‘奧雷爾·弗拉伊庫’大學自動化與應用軟體系的全職教授。她擁有蒂米什瓦拉理工大學的應用電子學與電信博士學位。巴拉斯博士在同行評審的期刊和國際會議上發表了超過300篇研究論文。她的研究興趣包括智能系統、模糊控制、軟計算、智能感測器、資訊融合、建模與模擬。她是《國際先進智能範式期刊》（IJAIP）和《國際計算系統工程期刊》（IJCSysE）的主編。她是多個國內外期刊的編輯委員會成員，並擔任國內外項目及博士論文的評估專家。巴拉斯博士是阿拉德奧雷爾·弗拉伊庫大學智能系統研究中心的主任，並擔任該大學國際關係、計劃與項目部門的主任。她曾在2005年至2018年間擔任國際研討會“軟計算與應用”（SOFA）的總主席，該會議在羅馬尼亞和匈牙利舉行了八屆。巴拉斯博士曾擔任IFSA國際模糊系統協會理事會的副主席（獎項）（2013-2015），並是印度跨學科數學論壇（FIM）理事會的聯合秘書。她同時是阿拉德奧雷爾·弗拉伊庫大學國際關係、計劃與項目部門的主任及智能系統研究中心的負責人。
