Large-Scale Water Quality Prediction Using Federated Sensing and Learning: A Case Study with Real-World Sensing Big-Data

. 2021 Feb 20;21(4):1462. doi: 10.3390/s21041462

Algorithm 2 Fair Federated Learning Computation at a Central Platform.

1:
Input: Local Learning Parameters: $w_{i}$ , $\forall i \in E$ // $E$ : Set of Edges
2:
Output: Global Learning Parameter: $w_{G}$
3:
$w_{G} = \frac{1}{| E |} \sum_{\forall i \in E} w_{i} = \frac{1}{| E |} \sum_{\forall i \in E} Local_Training (i, s_{i})$