Federated Learning for Neural Disorders in Healthcare 6.0

1 Federated learning in healthcare 6.0 paradigm, technologies, and challenges
ANNIAPPAN VASUKI, VIJAYAKUMAR PONNUSAMY, EMILIJA KISIC, AND NEMANJA ZDRAVKOVIĆ

2 Evolving neural disorders in the era of healthcare 6.0: Classifications, types, and societal impact
MAYANK MISHRA, SUSHAMA SINGH, SARASA MEENAKSHI, VED PRAKASH, NITESH KUMAR, NIKHILESH ANAND, AND KRISHNA MURTI

3 Advancing explainable AI in healthcare methods, applications, and ethical implications
SWAGATA ASHWANI

4 From neurons to algorithms: Enhancing machine learning with neuroscientific insights
AREESHA FATIMA, KISHOR KUMAR REDDY C, SRINATH DOSS, AND HERAT JOSHI

5 Optimizing neural disorder treatment through federated learning and multi- institutional data collaboration
MONIKA SINGH T, KISHOR KUMAR REDDY C, JAGADESHWARI PUTTANAPURA, AND SRINATH DOSS

6 Harnessing machine learning and deep learning techniques for neuroimaging
HINA BANSAL, NEETU JABALIA, KRITIKA SHUKLA, AND YASH NAUTIYAL

7 AI and federated learning: Enhancing cross- institutional research and treatment strategies for neural disorders
LINGALA THIRUPATHI, SANDEEP RAVIKANTI, VINEETHA KAASHIPAKA, AND KRISHNA PRIYA THAMMANA

8 Ensuring data privacy and security in federated learning for healthcare data
CHINNA OVU REDDI UMARANI, JAHANGEER NASKATH, NAGARAJAN KARTHIKEYAN, AND SELVAKUMAR MANICKAM

9 Federated learning and personalized medicine: Tailoring neural disorder therapies in healthcare 6.0
LINGALA THIRUPATHI, GUNDEKARI ANUSHA, THEJORAMNARESH REDDY BOYA, AND HARI CHANDRA PRASAD CHEERLA

10 Federated machine learning and augmented reality (AR)/ virtual reality (VR)- based framework for schizophrenia diagnosis and therapy
VIJAYAKUMAR PONNUSAMY, NANDINI MANICKAM, EMILIJA KISIC, AND NEMANJA ZDRAVKOVIĆ

11 Harnessing deep learning for the early diagnosis of dementia: A transformative approach in neurological health
AVULA MAHATHI, KISHOR KUMAR REDDY C, SRINATH DOSS, AND SHENSON JOSEPH

12 Federated learning- based diagnosis of epilepsy disease in healthcare 6.0
MONALISHA PATTNAIK, DEEPTI RANI PATTANAIK, SUDEV KUMAR PADHI, ASHIRBAD MISHRA, ALIPSA PATTNAIK, AND SADHU CHARAN PANDA

13 Early detection of Alzheimer’s: The evolving role of MRI in neuroimaging
SUMAYYA AFREEN, AYESHA NUZHA, NOORA FATIMA ABDUL HALEEM, AND SYEDA SADIA AHMED

14 Federated learning- enabled CNN for predicting and detecting brain tumors in healthcare 6.0
BOGGARAPU SRINIVASULU, SRINIVASA RAO DHANIKONDA, DAMMU VENKATA RAVI KUMAR, RAVEGA VENKATA GANDHI, AND BONTHALA PRABHANJAN YADAV

Biography

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.