Federated learning algorithms for generalized mixed-effects model (glmm) on horizontally partitioned data from distributed sources

HIGHLIGHTS

• who: Wentao Li from the (UNIVERSITY) have published the research: Federated learning algorithms for generalized mixed-effects model (GLMM) on horizontally partitioned data from distributed sources, in the Journal: (JOURNAL) of January/28,/2021
• what: The aim of this paper is to improve existing techniques and provide practical solutions with opensource implementation and to allow ordinary biomedical/healthcare researchers to build federated mixed effect learning models for their studies. In the experiment, a loose threshold (i.e., 0.08) was used as a convergence condition while typical federated learning algorithms in healthcare use much stringent . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.