Towards convergence in federated learning via non-iid analysis in a distributed solar energy grid

HIGHLIGHTS

• who: Hyeongok Lee from the Department of Computer Education, Sunchon National University, Suncheon, Republic of Korea have published the paper: Towards Convergence in Federated Learning via Non-IID Analysis in a Distributed Solar Energy Grid, in the Journal: Electronics 2023, 12, 1580. of 31/08/2021
• what: The authors explore the periodical training effect and update the central global model in the real-world environment, presenting the optimal update period that converges, returning the lowest loss value among the suggested candidates of the update scheme. The aim of FL in a Smart Grid is to . . .
  

   

  

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