Nuclei segmentation and classification from histopathology images using federated learning for end-edge platform

• Anjir Ahmed Chowdhury,

  Roles Methodology

  Affiliations Department of Computer Science, University of Houston, Houston, Texas, United States of America, Centre for Advanced Machine Learning and Applications (CAMLAs), Dhaka, Bangladesh

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• S M Hasan Mahmud,

  Roles Methodology

  Affiliations Department of Software Engineering, Daffodil International University, Daffodil Smart City (DSC), Birulia, Savar, Bangladesh, Centre for Advanced Machine Learning and Applications (CAMLAs), Dhaka, Bangladesh

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• Md Palash Uddin,

  Roles Conceptualization

  Affiliations Department of Computer Science and Engineering, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh, School of Information Technology, Deakin University, Geelong, Victoria, Australia

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• Seifedine Kadry ,

  Roles Methodology

  * E-mail: skadry@gmail.com

  Affiliation Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon

  https://orcid.org/0000-0002-8596-0814

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• Jung-Yeon Kim,

  Roles Investigation, Resources

  Affiliation Department of ICT Convergence, Soonchunhyang University, Asan, Korea

  https://orcid.org/0000-0001-7487-5748

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• Yunyoung Nam

  Roles Formal analysis, Investigation

  * E-mail: skadry@gmail.com

  Affiliation Department of ICT Convergence, Soonchunhyang University, Asan, Korea

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