Gradient boosting for health iot federated learning

HIGHLIGHTS

• who: Sobia Wassan et al. from the School of Equipment Engineering, Jiangsu Urban and Rural Construction Vocational College, Changzhou, China School of Economics, Shanghai University, Shanghai, China have published the Article: Gradient Boosting for Health IoT Federated Learning, in the Journal: Sustainability 2022, 14, x FOR PEER REVIEW of 19/Nov/2022
• what: The authors propose differential privacy federated learning with an adaptive GBTM model algorithm for local updates which helps adapt the model`s parameters based on the data characteristics and gradients. This research examines several FL approaches before proposing a real-time distributed . . .
  

   

  

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