The Convergence of Federated Learning and Healthcare 5.0 and Beyond: A New Era of Intelligent Health Systems
暫譯: 聯邦學習與醫療 5.0 的融合及其未來：智慧健康系統的新時代

本書介紹了一種新穎的聯邦學習整合，旨在實現安全、適應性強且智能的健康系統，符合健康照護5.0的願景。它呈現了前沿框架，支持醫療機構之間的去中心化模型訓練，同時保護病人隱私並確保遵守數據法規。

本書專注於現實世界的應用案例，例如預測診斷、邊緣計算的病人監測、個性化醫療和手術機器人，將理論進展與實際實施相結合。本書深入探討了適合跨機構合作的可擴展、保護隱私的人工智慧基礎設施的設計。

本書的目標讀者包括人工智慧研究者、數位健康架構師、健康科技專家和政策顧問，支持以人為本、韌性強且可互操作的智慧健康生態系統的發展。

Wasswa Shafik (Member, IEEE) is a Computer Scientist, Information Technologist, and Director of the Dig Connectivity Research Laboratory (DCRLab) in Kampala, Uganda. He holds a Bachelor's degree in Information Technology from Ndejje University (Uganda), a Master's in Information Technology Engineering (Computer Networks) from Yazd University (Iran), and a PhD in Computer Science from Universiti Brunei Darussalam (Brunei). His research focuses on developing computationally and statistically efficient models in artificial intelligence and machine learning, with particular interest in Smart Agriculture, Computer Vision, Ecological Informatics, Applied AI, IoT, Cybersecurity, and Smart Computing. Dr. Shafik has authored and edited hundreds of peer-reviewed books, journal articles, and conference papers, including those presented at IEEE conferences and published in prestigious journals. He actively reviews for international journals indexed by Scopus, Compendex, and Web of Science. Academically, he has contributed to courses such as Mathematics for Data Science, Advanced Algorithms, and System Performance and Evaluation. Earlier, he was a Research Associate at Iran's Intelligent Network Laboratory. His professional roles have also included Community Data Officer at the Programme for Accessible Health, Data Manager at Population Services International, Research Assistant at the Socio-Economic Data Center, Research Lead at TechnoServe, and former CEO of Asmaah Charity Organisation.

Dr. Pushan Kumar Dutta is an Associate Professor Grade at Amity University Kolkata in the Electronics and Communication Engineering department. He holds a Ph.D. from Jadavpur University and completed a post-doctorate as an Erasmus Mundus Scholar under the European Union Leaders Program (2015-2016) at the University of Oradea. His research interests include data mining, AI, edge computing, and predictive analytics, with applications in smart cities, healthcare, and sustainability. Dr. Dutta has published over 114 Scopus-indexed articles and numerous works in IEEE Xplore and Springer Lecture Notes. A recipient of the 'Mentor of Change' by NITI Aayog and other awards, he is known for his innovative teaching methods, two Indian patents, and international contributions, including winning an international white paper contest.

Dr. Priya Pattanaik is a lecturer at the Berlin School of Business and Innovation in Germany. Her research skills are primarily in quantitative analysis and developing machine learning algorithms with deep neural networks and graphical models for visual computing, including medical image analysis and disease detection. She worked as a postdoctoral scientist at IMT Atlantique, France, in the Image and Information Processing department of the LaTIM research group, focusing on developing concepts and tools to address one of the great challenges of the Musculoskeletal (MSK) field: understanding and exploiting the link between the shape and function of a joint (2020-2022). She also worked as a postdoctoral fellow in collaboration with a range of academic institutions and industrial partners, such as Télécom SudParis, the University of Saclay, a team from the Centre for Mathematical Morphology of Mines ParisTech, and the company TRIBVN (2019). In March 2019, she successfully defended her doctoral thesis, which focuses on the use of machine learning for classifying microscopic blood smear images to detect malaria early. She has numerous publications in high-impact SCI and Scopus-indexed research journals and conferences.

Wasswa Shafik（IEEE會員）是一位計算機科學家、資訊技術專家，並擔任烏干達坎帕拉的數位連接研究實驗室（DCRLab）主任。他擁有烏干達Ndejje大學的資訊技術學士學位、伊朗Yazd大學的資訊技術工程（計算機網絡）碩士學位，以及汶萊文萊大學的計算機科學博士學位。他的研究專注於開發在人工智慧和機器學習中計算和統計上高效的模型，特別關注智慧農業、計算機視覺、生態資訊學、應用人工智慧、物聯網、網絡安全和智慧計算。Shafik博士已撰寫和編輯數百本經過同行評審的書籍、期刊文章和會議論文，包括在IEEE會議上發表的作品和發表在知名期刊上的文章。他積極為被Scopus、Compendex和Web of Science索引的國際期刊進行審稿。在學術上，他對數據科學數學、高級演算法和系統性能與評估等課程做出了貢獻。早期，他曾在伊朗的智能網絡實驗室擔任研究助理。他的專業角色還包括可及健康計劃的社區數據官員、國際人口服務的數據經理、社會經濟數據中心的研究助理、TechnoServe的研究負責人，以及Asmaah慈善組織的前首席執行官。

Pushan Kumar Dutta博士是印度阿米提大學加爾各答電子與通信工程系的副教授。他擁有加爾各答的Jadavpur大學的博士學位，並在歐盟領導者計劃（2015-2016）下，作為Erasmus Mundus學者在奧拉迪亞大學完成了博士後研究。他的研究興趣包括數據挖掘、人工智慧、邊緣計算和預測分析，應用於智慧城市、醫療保健和可持續性。Dutta博士已發表超過114篇被Scopus索引的文章，以及在IEEE Xplore和Springer Lecture Notes上發表的多篇作品。他曾獲得NITI Aayog頒發的「變革導師」獎及其他獎項，以其創新的教學方法、兩項印度專利和國際貢獻而聞名，包括贏得國際白皮書比賽。

Priya Pattanaik博士是德國柏林商業與創新學院的講師。她的研究技能主要集中在定量分析和開發深度神經網絡及圖形模型的機器學習演算法，用於視覺計算，包括醫學影像分析和疾病檢測。她曾在法國IMT Atlantique的LaTIM研究小組的影像與資訊處理部門擔任博士後科學家，專注於開發概念和工具，以應對肌肉骨骼（MSK）領域的一大挑戰：理解和利用關節的形狀與功能之間的聯繫（2020-2022）。她還曾作為博士後研究員，與多個學術機構和工業夥伴合作，如Télécom SudParis、Saclay大學、巴黎高科的數學形態學中心團隊以及TRIBVN公司（2019）。在2019年3月，她成功辯護了她的博士論文，該論文專注於使用機器學習對顯微血液塗片影像進行分類，以早期檢測瘧疾。她在高影響力的SCI和Scopus索引的研究期刊及會議上發表了多篇論文。