Research Article

LstFcFedLear: A LSTM-FC with Vertical Federated Learning Network for Fault Prediction

Algorithm 1

LSTM-FC network algorithm.
INPUT PARAMETERS: Reasonable labeling T+,T−
Label labeling is not reasonable ˜ T+, ˜ T−
Maximum number of pre-training
Maximum number of training
OUTPUT VALUE: Train well-performing models
1: d, c ←0
2: get x on T
3: while d < preEpoch do
4:  for each fault i in T do
5:   get ˜r+ i ,˜r−i in L
6:   get L by (9) on i;
7:   update θ;
8:   compute Lf
9:   update θ;
10: end for 11 j ← j +1; 12 end while
13: while k < trainEpoch do
15:  for each fault xi in T do
16:   compute xi;
17:   compute yi;
18:   compute LA;
19:   update θ;
20: end for
21: k ← k +1;
22: end while