Neural network quantization in federated learning at the edge

HIGHLIGHTS

• who: Things and collaborators from the ISTI-CNR, Pisa, Italy University of Pisa, Pisa, Italy have published the research: Neural Network Quantization in Federated Learning at the Edge, in the Journal: (JOURNAL) of October/27,/2021
• what: The authors investigate the introduction of quantization techniques in FL to improve the efficiency of data exchange between edge servers and a cloud node. The authors focus on learning recurrent neural network models fed by edge data producers using the most widely adopted neural networks for timeseries prediction. The authors focus on learning accurate NN models in an . . .
  

   

  

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