Efficient asynchronous federated learning for auv swarm

HIGHLIGHTS

• who: Zezhao Meng et al. from the School of Mechano-Electronic Engineering, Xidian University, Xi`an, China have published the Article: Efficient Asynchronous Federated Learning for AUV Swarm, in the Journal: Sensors 2022, 22, 8727. of /2022/
• what: To further reduce the constraints of underwater scarce communication resources on federated learning and alleviate the straggler effect in this work the authors designed an asynchronous federated learning method. In Figure 3, the authors show the total time comparison of different schemes versus u03b2. To show that the scheme proposed in this paper has the best effect . . .
  

   

  

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