Privacy-preserving weighted federated learning within the secret sharing framework

HIGHLIGHTS

• who: HUAFEI ZHU and collaborators from the Institute , School of Computer Science and Engineering, Nanyang Technological University, Singapore , have published the paper: Privacy-Preserving Weighted Federated Learning Within the Secret Sharing Framework, in the Journal: (JOURNAL)
• what: The authors show that FL is a subset of MPC from the m-ary functionality point of view. The authors simply assume that nk is evaluated by a trusted data quality and quantity service provider so that the authors can focus on the exploration of the relationship between FL and MPC as well as that of SFL and . . .
  

   

  

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