Federated Learning for Neural Disorders in Healthcare 6.0
暫譯: 醫療領域神經疾病的聯邦學習 6.0

這段文字提供了神經科學與聯邦學習之間重疊的相關且深入的探討。它探討了利用聯邦學習演算法進行MRI數據分析的複雜性，展示了如何提高診斷程序的準確性和效率。

Kishor Kumar Reddy C is currently working as an associate professor in the Department of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India. He has research and teaching experience of more than 13 years. He has published more than 90 research papers in national and international conferences, book chapters, and journals indexed by SCIE, Scopus and others. He has authored two textbooks and 12 edited books. He is a member of ISTE, CSI, IAENG, UACEE, and IACSIT.

Anindya Nag obtained an M.Sc. in Computer Science and Engineering from Khulna University in Khulna, Bangladesh, and a B.Tech. in Computer Science and Engineering from Adamas University in Kolkata, India. He is currently a lecturer in the Department of Computer Science and Engineering at the Northern University of Business and Technology in Khulna, Bangladesh. His research focuses on health informatics, medical Internet of Things, neuroscience, and machine learning. He serves as a reviewer for numerous prestigious journals and international conferences. He has authored and co-authored around 32 publications, including journal articles, conference papers, book chapters, and has co-edited five books.

Kishor Kumar Reddy C 目前在印度海得拉巴的斯坦利女子工程與技術學院計算機科學與工程系擔任副教授。他擁有超過13年的研究和教學經驗。他在國內外會議、書籍章節以及被SCIE、Scopus等索引的期刊上發表了超過90篇研究論文。他是兩本教科書的作者和12本編輯書籍的編輯。他是ISTE、CSI、IAENG、UACEE和IACSIT的成員。

Anindya Nag 於孟加拉國庫爾納的庫爾納大學獲得計算機科學與工程碩士學位，並於印度加爾各答的阿達馬斯大學獲得計算機科學與工程學士學位。他目前在孟加拉國庫爾納的北方商業與技術大學計算機科學與工程系擔任講師。他的研究重點包括健康資訊學、醫療物聯網、神經科學和機器學習。他擔任多本知名期刊和國際會議的審稿人。他已發表和共同發表約32篇出版物，包括期刊文章、會議論文、書籍章節，並共同編輯了五本書籍。