Personalised federated learning framework for damage detection in structural health monitoring

HIGHLIGHTS

• who: Ali Anaissi from the School of Computer Science, The University of Sydney, Street, Camperdown, NSW, Australia have published the paper: Personalised federated learning framework for damage detection in structural health monitoring, in the Journal: (JOURNAL)
• what: To handle the shortcomings of both models the authors propose a new Personalized federated learning (FL) model augmented with tensor data fusion to learn and detect damage in SHM. This approach has brought a concrete aspect to IoT in SHM and enabled IoT smart applications. The work proposed by Mehri et_al has thoroughly investigated and compared the performance . . .
  

   

  

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