Federated Learning in Finance: Unlocking Privacy-Preserving and Cyber Resilience using AI
暫譯: 金融中的聯邦學習：利用AI解鎖隱私保護與網絡韌性

《聯邦智慧：利用人工智慧在金融業解鎖隱私保護與網路韌性》是一本編輯書籍，旨在探討聯邦智慧如何幫助金融業抵禦網路威脅、檢測詐騙並遵守法規，同時保持敏感的金融數據安全且分散。

本書提供了一個全面的路線圖，說明如何將聯邦學習（Federated Learning, FL）和人工智慧驅動的網路安全整合進金融生態系統。與傳統需要數據集中化的人工智慧系統不同，聯邦智慧使金融機構能夠安全地協作、訓練強大的人工智慧模型，並對抗網路威脅。

Dr. Swati Sah is currently serving as a Professor at Sharda University, India. Prior to this, she held an academic position at Amity University, Uzbekistan. In May 2018, she was appointed as Head of the Department of Computer Science at Patan College for Professional Studies (PCPS), Nepal, an institution affiliated with the University of Bedfordshire, UK. Dr. Sah holds a Master of Computer Applications (MCA) degree from Uttar Pradesh Technical University, Lucknow, India, and an M.Sc. from Birmingham City University, United Kingdom.

With over 12 years of experience in teaching and research, she has been actively engaged with various professional associations and academic bodies. Her research interests lie in the areas of Cyber Security, Artificial Intelligence (AI), and Machine Learning (ML). She has contributed to several scholarly publications and has presented her work at international conferences. Her current work focuses on leveraging AI and ML techniques to enhance cyber threat detection and prevention frameworks. She is also passionate about interdisciplinary applications of emerging technologies and continues to explore innovative solutions addressing real-world challenges in digital security and intelligent systems.

Dr. Rejwan Bin Sulaiman is currently serving as a Lecturer in Cyber Security at the University of Law, United Kingdom. He earned his Ph.D. in Artificial Intelligence and Cybersecurity from the University of Bedfordshire, where his doctoral research focused on federated learning-based approaches for secure and privacy-preserving financial AI systems. He has held academic positions at several institutions, including Northumbria University and Arden University.

Dr. Sulaiman's research spans Cybersecurity, Artificial Intelligence, Computer Vision, and Machine Learning, with particular interest in developing decentralized AI models that enhance data security and user privacy. His work has been published in leading venues such as IEEE, Springer, and CRC Press, contributing to the advancement of secure machine learning frameworks in distributed environments.

He is a Certified Ethical Hacker (CEH) and the founder of STEMResearch.Ai, an initiative that supports and mentors early-career researchers in STEM fields. He is also a Fellow of the Higher Education Academy (FHEA) and has received multiple awards recognizing his innovative teaching practices and dedication to academic excellence

Aditya Dayal Tyagi is currently serving as an Assistant Professor at Sharda University, Greater Noida, India. With over 20 years of professional experience in academia and research, he has developed expertise in diverse domains including Federated Learning, Deep Learning, Influence Maximization, Wireless Networks, Information Security and Sentiment Analysis. His work focuses on leveraging data-driven intelligence and privacy-preserving AI to enhance cyber and information resilience, optimize decision-making, and improve the efficiency of large-scale social networks. His research extends to applying deep learning models for sentiment analysis, uncovering patterns in user-generated data to drive smarter, AI-powered insights.

He is the author of a book titled AI-Powered Pricing: Transforming Business with Intelligent Pricing Models. His one patent is published and many are under processing. He has actively published in reputed international journals and conferences, showcasing his commitment to advancing the frontiers of federated learning and decentralized AI models. His work aims to bridge the gap between cutting-edge AI research and real-world applications, particularly in secure and scalable machine learning for the finance industry and sustainable decision-making.Beyond research, He engages in academic collaborations, workshops, and professional forums, contributing to innovation and translational research. His dedication to interdisciplinary innovation continues to shape emerging trends in intelligent systems and federated learning.

斯瓦提·薩哈博士目前擔任印度沙達大學的教授。在此之前，她曾在烏茲別克斯坦的阿米提大學擔任學術職位。2018年5月，她被任命為尼泊爾帕坦專業學院（PCPS）計算機科學系主任，該學院隸屬於英國貝德福德大學。薩哈博士擁有印度勒克瑙的北方邦技術大學的計算機應用碩士（MCA）學位，以及英國伯明翰城市大學的碩士學位（M.Sc.）。

擁有超過12年的教學和研究經驗，她積極參與各種專業協會和學術機構。她的研究興趣包括網絡安全、人工智慧（AI）和機器學習（ML）。她已發表多篇學術出版物，並在國際會議上展示她的研究成果。她目前的工作專注於利用AI和ML技術來增強網絡威脅檢測和預防框架。她對新興技術的跨學科應用充滿熱情，並持續探索解決數位安全和智能系統中現實挑戰的創新解決方案。

瑞萬·賓·蘇萊曼博士目前擔任英國法律大學的網絡安全講師。他在貝德福德大學獲得人工智慧和網絡安全的博士學位，博士研究專注於基於聯邦學習的安全和隱私保護金融AI系統的方法。他曾在多所學校擔任學術職位，包括諾森比亞大學和阿登大學。

蘇萊曼博士的研究涵蓋網絡安全、人工智慧、計算機視覺和機器學習，特別關注開發增強數據安全和用戶隱私的去中心化AI模型。他的研究成果已發表在IEEE、Springer和CRC Press等知名期刊，為分散環境中的安全機器學習框架的發展做出了貢獻。

他是認證的道德駭客（CEH），並創立了STEMResearch.Ai，這是一個支持和指導早期職業研究人員的倡議。他還是高等教育學院的院士（FHEA），並獲得多項獎項，以表彰他在創新教學實踐和學術卓越方面的貢獻。

阿迪提亞·達亞爾·提亞吉目前擔任印度大諾伊達的沙達大學助理教授。擁有超過20年的學術和研究專業經驗，他在聯邦學習、深度學習、影響力最大化、無線網絡、信息安全和情感分析等多個領域發展了專業知識。他的工作專注於利用數據驅動的智能和隱私保護的AI來增強網絡和信息的韌性，優化決策並提高大規模社交網絡的效率。他的研究延伸到應用深度學習模型進行情感分析，揭示用戶生成數據中的模式，以推動更智能的AI驅動見解。

他是一本名為AI驅動的定價：用智能定價模型轉型商業的書籍的作者。他擁有一項已發表的專利，還有多項正在處理中。他在知名國際期刊和會議上積極發表，展示了他在推進聯邦學習和去中心化AI模型前沿的承諾。他的工作旨在縮小尖端AI研究與現實應用之間的差距，特別是在金融行業的安全和可擴展機器學習及可持續決策方面。除了研究，他還參與學術合作、研討會和專業論壇，為創新和轉化研究做出貢獻。他對跨學科創新的奉獻精神持續塑造著智能系統和聯邦學習中的新興趨勢。