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Federated Learning and Privacy-Preserving in Healthcare AI

Federated Learning and Privacy-Preserving in Healthcare AI
Federated Learning and Privacy-Preserving in Healthcare AI

Federated Learning and Privacy-Preserving in Healthcare AI

Composite package | English
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Description

Umesh Kumar Lilhore is currently a Professor at the School of Computing Science & Engineering (CSE) at Galgotia University, Greater Noida. With over 19 years of teaching and 8 years of research experience, he has previously held positions at various renowned universities and colleges in India and abroad. Dr. Lilhore holds a Ph.D. and M.Tech in CSE and has completed his postdoctoral research at the Institute of Advanced Computing, University of Louisiana at Lafayette. He has a strong publication record with articles in reputed, peer-reviewed national and international Scopus journals and conferences. Sarita Simaiya is a distinguished Professor at the School of Computing Science & Engineering (CSE) at Galgotias University, Greater Noida. Boasting over 17 years of teaching and 8 years of research experience, Dr. Sarita has held esteemed positions at various prestigious universities and colleges in India and abroad. With a Ph.D. and M.Tech, BE in CSE, Dr. Sarita completed postdoctoral research at the Institute of Advanced Computing, University of Louisiana at Lafayette. His extensive publication record includes articles in reputed, peer- reviewed national and international Scopus journals and conferences. |Manoharan Poongodi - Editor|Dr. M. Poongodi received the B.Tech. degree in information technology (IT) from Anna University, Chennai, the M.E. degree in computer science (CSE) from St.Peters University, and the Ph.D. degree in information security from Anna University. She has teaching experience of more than five years. Her many cited publications in highly indexed journals talks about her vast knowledge and skill set in the area of blended areas network security, the IoT, machine learning, and deep learning. Her research interest is also extended in the areas of network analysis using social networking, mobile computing, Web services, 4G communication, cloud computing, and information security through anomaly detection. She is a renowned expert in networks field and a mass stunning speaker who has inspired a lot of students on network simulation through her hands on experience sessions. Many students have been done their B.E., M.E., M.Tech., and MCA projects under her guidance. She is with Hamad Bin Khalifa University and having expertise in many research areas.

Umesh Kumar Lilhore is currently a Professor at the School of Computing Science & Engineering (CSE) at Galgotia University, Greater Noida. With over 19 years of teaching and 8 years of research experience, he has previously held positions at various renowned universities and colleges in India and abroad. Dr. Lilhore holds a Ph.D. and M.Tech in CSE and has completed his postdoctoral research at the Institute of Advanced Computing, University of Louisiana at Lafayette. He has a strong publication record with articles in reputed, peer-reviewed national and international Scopus journals and conferences. Sarita Simaiya is a distinguished Professor at the School of Computing Science & Engineering (CSE) at Galgotias University, Greater Noida. Boasting over 17 years of teaching and 8 years of research experience, Dr. Sarita has held esteemed positions at various prestigious universities and colleges in India and abroad. With a Ph.D. and M.Tech, BE in CSE, Dr. Sarita completed postdoctoral research at the Institute of Advanced Computing, University of Louisiana at Lafayette. His extensive publication record includes articles in reputed, peer- reviewed national and international Scopus journals and conferences. |Manoharan Poongodi - Editor|Dr. M. Poongodi received the B.Tech. degree in information technology (IT) from Anna University, Chennai, the M.E. degree in computer science (CSE) from St.Peters University, and the Ph.D. degree in information security from Anna University. She has teaching experience of more than five years. Her many cited publications in highly indexed journals talks about her vast knowledge and skill set in the area of blended areas network security, the IoT, machine learning, and deep learning. Her research interest is also extended in the areas of network analysis using social networking, mobile computing, Web services, 4G communication, cloud computing, and information security through anomaly detection. She is a renowned expert in networks field and a mass stunning speaker who has inspired a lot of students on network simulation through her hands on experience sessions. Many students have been done their B.E., M.E., M.Tech., and MCA projects under her guidance. She is with Hamad Bin Khalifa University and having expertise in many research areas.

Specifications

  • Publisher
    Medical Information Science Reference
  • Pub date
    May 2024
  • Pages
    351
  • Theme
    Medical administration and management
  • Dimensions
    279 x 216 mm
  • EAN
    9798369318775
  • Composite package
    Composite package
  • Language
    English