A Heterogeneity-Aware Semi-Decentralized Model for a Lightweight Intrusion Detection System for IoT Networks Based on Federated Learning and BiLSTM

. 2025 Feb 9;25(4):1039. doi: 10.3390/s25041039

Algorithm 6: FL model testing.

Input: $G l o b a l M o d e l$ : Global Model after FL process
$T e s t S e t$ : Preprocessed testing set
Output: $D e t e c t i o n R a t e$ : metric that used to measure model performance
₁
$X T e s t$ = Features of $T e s t S e t$
₂
$Y T e s t$ = Labels of $T e s t S e t$
₃
$P r e d i c t e d Y$ = Test $G l o b a l M o d e l$ on $X T e s t$
₄
Calculate $P e r f o r m a n c e M e t r i c$ based on $P r e d i c t e d Y$ and $Y T e s t$
₅
return $P e r f o r m a n c e M e t r i c$