Addressing modern and practical challenges in machine learning: a survey of online federated and transfer learning

HIGHLIGHTS

  • who: Shuang Dai from the Department of Mathematical Sciences, University of Essex, Colchester, UK have published the research: Addressing modern and practical challenges in machine learning: a survey of online federated and transfer learning, in the Journal: (JOURNAL)
  • what: The aim of this paper is to provide a detailed survey of various methods for addressing modern machine_learning challenges, focusing on OFL and OTL. The authors provide definitions of OTL and OFL, as well as new viewpoints on them. In comparison to the optimal model in foresight, the primary goal of OL is to minimize cumulative . . .

     

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