Privacy and trust redefined in federated machine learning

HIGHLIGHTS

• who: Pavlos Papadopoulos and colleagues from the School of Computing, Edinburgh Napier University, Edinburgh , DT, UK have published the paper: Privacy and Trust Redefined in Federated Machine Learning, in the Journal: (JOURNAL)
• what: The authors demonstrate performance improvement upon the previous trusted federated learning state-of-the-art without sacrificing the privacy guarantees of the authentication techniques and privacy-preserving workflows. Section 3 outlines the implementation overview and architecture, followed by Section 4, in which the authors provide an extensive security and performance evaluation of the system . The major focus of these systems has been . . .
  

   

  

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