Dynamic cohort formation with hierarchical blockchain using gdp for enhanced fl

HIGHLIGHTS

• What: In response to these challenges, this research proposes a novel framework that integrates dynamic cohort formation, hierarchical blockchain architecture, and Gaussian Differential Privacy (GDP) mechanisms. The authors propose the approach to improving FL by implementing GDP in dynamic cohort creation and a hierarchical blockchain system. To address security and scalability issues, the authors propose a hierarchical blockchain model consisting of two levels: All of these require a cohort-specific blockchain and a global reference blockchain. The authors provide an in-depth analysis of the results obtained from the experiments , which involved 10 FL rounds, 5 local . . .
  

   

  

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