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  • Deploy more than one edge
  • No more extra storage space
  • A few computing units
  • Deal with data locally
  • Network ability
  • Share data each other
  • Work together with ML
  • Data security

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Applications group data from edges based on security methods; but data privacy is still managed by the Federated Machine Learning framework.  Data, as an  input of a ML model,  is in a central site, and  exchange of data occurs after ML processes are done.  Required data gets sent back to the edge for its next process.