Federated Learning: Principles, Paradigms, and Applications
暫譯: 聯邦學習：原則、範式與應用

解釋聯邦學習（federated learning）及其如何整合人工智慧（AI）技術，使多個協作者能夠使用大型數據集建立穩健的機器學習模型。描述聯邦學習的好處，包括數據隱私、數據安全、數據訪問權限等。分析影響聯邦學習系統的常見挑戰和攻擊策略。

Jayakrushna Sahoo, PhD, is associated with the Indian Institute of Information Technology, Kottayam, where he serves as the Head of Computer Science and Engineering department. Before this, he worked with BML Munjal University, Gurgaon, India, as an Assistant Professor in the Department of Computer Science and Engineering. Dr. Sahoo has also worked as an ad hoc faculty at the National Institute of Technology, Jamshedpur, India. His publications have appeared in many reputed journals over the years. His research interests include data mining, machine learning, and federated learning. With his vast experience in research, he has been guiding several PhD scholars and has been associated with some of the country's premier institutions. He has also worked in the capacity of resource person and technical panel member and has headed several international conferences in India.

Mariya Ouaissa, PhD, is a Professor in cybersecurity and networks as well as a research associate and practitioner with industry experience as a networks and telecoms engineer. She is a Co-Founder and IT Consultant at the IT Support and Consulting Center. She was formerly affiliated with the School of Technology of Meknes, Morocco. She is an expert reviewer with the Academic Exchange Information Centre (AEIC) and a brand ambassador with Bentham Science. She serves on technical programs and organizing committees of conferences, symposiums, and workshops in her field and is also a reviewer for numerous international journals. Dr. Ouaissa has published book chapters and research papers in international journals, and conferences and has edited several books and has guest editied several special journal issues.

Akarsh K. Nair is a Doctoral Researcher at the Indian Institute of Information Technology, Kottayam, India, with a specialization in distributed learning, machine learning, federated learning, and edge intelligence. Mr. Nair has worked as an Assistant Professor in the Department of Computer Science at TEC College, Palakkad, India. He is also associated with iHub HCI Foundation of IIT, Himachal Pradesh, India, as a doctoral fellow. He has published several research articles in reputed scientific journals and international platforms. He has also acted as a reviewer for many prestigious scientific journals.

Jayakrushna Sahoo, PhD 目前任職於印度信息技術學院（Indian Institute of Information Technology, Kottayam），擔任計算機科學與工程系主任。在此之前，他曾在印度古爾岡的BML Munjal大學擔任計算機科學與工程系的助理教授。Sahoo博士也曾在印度詹姆謝德布爾的國立技術學院（National Institute of Technology, Jamshedpur）擔任臨時教員。他的研究成果多次發表於許多知名期刊，研究興趣包括數據挖掘、機器學習和聯邦學習。憑藉其豐富的研究經驗，他指導了多位博士生，並與國內一些頂尖機構有合作。他還擔任過資源人員和技術小組成員，並主辦過多場國際會議。

是一位專注於網絡安全和網絡的教授，同時也是一位具有行業經驗的研究助理和實踐者，擔任網絡和電信工程師。她是IT支持與諮詢中心的共同創辦人和IT顧問。她曾在摩洛哥梅克內斯的技術學院任職。她是學術交流信息中心（Academic Exchange Information Centre, AEIC）的專家審稿人，也是Bentham Science的品牌大使。她參與了其領域內會議、研討會和工作坊的技術計劃和組織委員會，並擔任多本國際期刊的審稿人。Ouaissa博士在國際期刊和會議上發表了多篇書籍章節和研究論文，並編輯了幾本書籍，還擔任過幾個特刊的客座編輯。

Akarsh K. Nair 是印度信息技術學院（Indian Institute of Information Technology, Kottayam）的博士研究生，專攻分散式學習、機器學習、聯邦學習和邊緣智能。Nair先生曾在印度帕拉卡德的TEC學院擔任計算機科學助理教授。他還作為博士研究員與印度喜馬查爾邦的iHub HCI基金會有合作。他在多個知名科學期刊和國際平台上發表了多篇研究文章，並擔任多本著名科學期刊的審稿人。