Federated Deep Learning for Healthcare: A Practical Guide with Challenges and Opportunities
暫譯: 醫療聯邦深度學習：挑戰與機會的實用指南

本書提供了一本針對醫療保健的聯邦深度學習實用指南，包括基本概念、框架以及應用，涵蓋領域適應、模型蒸餾和遷移學習。內容涉及模型公平性、數據偏見、法規遵循和倫理困境等問題。

Dr. Amandeep Kaur currently holds the position of a professor at the Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab. She earned her doctorate degree from I. K. Gujral Punjab Technical University, Jalandhar. Dr. Kaur's academic achievements include receiving both her M.Tech (Computer Science and Engineering) and B.Tech (Computer Science and Engineering) degrees with distinction. Additionally, she has successfully qualified UGC-NET in Computer Science. Dr. Kaur boasts an extensive research portfolio, with approximately 100 publications in renowned international journals and fully refereed international conferences. She has accumulated 24 years of valuable experience in her field and has filed and published more than 107 patents. Dr. Kaur has played a significant role in mentoring the academic growth of over 30 Ph.D. and PG students. Her primary research areas encompass medical informatics, machine learning, IoT (Internet of Things), artificial intelligence, and cloud computing. Notably, Dr. Kaur has been recognized for her exceptional contributions, winning the Excellence Award in the "Filing Patent" category for three consecutive years (2021, 2022, and 2023) and the Best Ph.D. Supervision Award in 2023. Furthermore, she has achieved recognition on a global scale, as she is included in Stanford University's prestigious list of the top 2% most influential scientists among Indian researchers. This underscores her significance in the field of computer science and research.

Dr. Chetna Kaushal works as an assistant professor in Chitkara University, Punjab. She has done a Ph.D. in Computer Science and Engineering from Chitkara University, Punjab, M.Tech in Computer Science and Engineering from DAV University, Punjab, and B.Tech in Information Technology from Punjab Technical University. Her areas of expertise are machine learning, soft computing, pattern recognition, image processing, and artificial intelligence. She has around ten years of experience in research, training, and academics. She has published numerous research papers in various international/national journals, books, and conferences. She has filed and published more than 50 patents to her name. She is a reviewer of many prestigious journals. Dr. Chetna Kaushal is an exceptionally motivated and talented researcher deeply dedicated to advancing human health and well-being through pioneering scientific investigations. Her remarkable achievements thus far are a testament to her capabilities, and her potential for making significant future contributions to her field is undeniably bright.

Md. Mehedi Hassan is a dedicated young researcher, holding a B.Sc. Engineering degree in computer science and engineering from 2022 and currently pursuing his M.Sc. Engineering degree at Khulna University, Bangladesh. His remarkable aptitude for research has propelled him to excel in biomedical engineering, data science, and expert systems, earning him recognition as a respected leader in these fields. He is the founder and CEO of the Virtual BD IT Firm and the lab head of the VRD Research Laboratory in Bangladesh. With over three filed patents, three of which have been granted, Mehedi is not only an innovative thinker but also a practical problem solver. He also serves as a reviewer for prestigious journals, further underscoring his influence in the scientific community. Mehedi's research interests encompass a broad spectrum, ranging from human brain imaging, neuroscience, machine learning, and artificial intelligence to software engineering. Driven by his notable accomplishments and promising potential, Mehedi remains dedicated to leveraging cutting-edge scientific research to enhance human health and well-being.

Dr. Si Thu Aung received his B.E. from Technological University, Myanmar, in 2014, the Master of Engineering in Electronics from Mandalay Technological University, Myanmar, in 2017, and a Ph.D. in Biomedical Engineering from the Faculty of Engineering, Mahidol University, Thailand, in 2021. Previously, he worked as a post-doctoral researcher at the Rail and Modern Transports Research Center under the National Science and Technology Development Agency, Thailand Science Park, Pathum Thani, Thailand. Now, he is working as a post-doctoral research associate at the Department of Mathematics at the State University of New York, Buffalo. His current research interests include biomedical signal processing, digital image processing, machine learning, and deep learning.

Dr. Amandeep Kaur 目前擔任印度旁遮普州 Chitkara 大學工程與技術學院的教授。她在 I. K. Gujral 旁遮普技術大學（Jalandhar）獲得博士學位。Kaur 博士的學術成就包括以優異成績獲得 M.Tech（計算機科學與工程）和 B.Tech（計算機科學與工程）學位。此外，她成功通過了計算機科學的 UGC-NET 考試。Kaur 博士擁有豐富的研究經歷，約有 100 篇發表於知名國際期刊和完全審稿的國際會議的論文。她在該領域累積了 24 年的寶貴經驗，並已申請和發表超過 107 項專利。Kaur 博士在指導超過 30 名博士及碩士研究生的學術成長方面發揮了重要作用。她的主要研究領域包括醫療資訊學、機器學習、物聯網（IoT）、人工智慧和雲計算。值得注意的是，Kaur 博士因其卓越貢獻而獲得了連續三年（2021、2022 和 2023）在「專利申請」類別中的卓越獎，以及 2023 年的最佳博士生指導獎。此外，她在全球範圍內也獲得了認可，因為她被列入史丹佛大學的印度研究人員中最具影響力的前 2% 科學家名單，這突顯了她在計算機科學和研究領域的重要性。

Dr. Chetna Kaushal 在旁遮普州的 Chitkara 大學擔任助理教授。她在 Chitkara 大學獲得計算機科學與工程的博士學位，在 DAV 大學獲得計算機科學與工程的 M.Tech 學位，並在旁遮普技術大學獲得資訊技術的 B.Tech 學位。她的專業領域包括機器學習、軟計算、模式識別、影像處理和人工智慧。她在研究、培訓和學術方面擁有約十年的經驗，並在各種國際/國內期刊、書籍和會議上發表了大量研究論文。她已申請和發表超過 50 項專利。她是多本知名期刊的審稿人。Chetna Kaushal 博士是一位極具動力和才華的研究者，深切致力於通過開創性的科學研究促進人類健康和福祉。她迄今為止的卓越成就證明了她的能力，未來在其領域做出重大貢獻的潛力無疑是光明的。

Md. Mehedi Hassan 是一位專注的年輕研究者，於 2022 年獲得計算機科學與工程的 B.Sc. 工程學位，目前在孟加拉國 Khulna 大學攻讀 M.Sc. 工程學位。他在生物醫學工程、數據科學和專家系統方面的卓越研究能力使他在這些領域中脫穎而出，贏得了尊重的領導者地位。他是 Virtual BD IT Firm 的創始人兼 CEO，以及孟加拉國 VRD 研究實驗室的實驗室負責人。Mehedi 擁有超過三項已申請的專利，其中三項已獲得批准，他不僅是一位創新思考者，還是一位實際問題解決者。他還擔任多本知名期刊的審稿人，進一步強調了他在科學界的影響力。Mehedi 的研究興趣涵蓋廣泛，從人腦成像、神經科學、機器學習、人工智慧到軟體工程。憑藉其顯著的成就和光明的潛力，Mehedi 將繼續致力於利用尖端科學研究來提升人類健康和福祉。

Dr. Si Thu Aung 於 2014 年在緬甸科技大學獲得 B.E. 學位，2017 年在曼德勒科技大學獲得電子工程碩士學位，並於 2021 年在泰國馬希隆大學獲得生物醫學工程博士學位。此前，他曾在泰國科學園區的國家科學與技術發展署下的鐵路與現代交通研究中心擔任博士後研究員。目前，他在紐約州立大學布法羅分校的數學系擔任博士後研究助理。他目前的研究興趣包括生物醫學信號處理、數位影像處理、機器學習和深度學習。