This is the Pytorch code of the paper entitled "AFM3D: An Asynchronous Federated Meta-learning Framework for Driver Distraction Detection".
#AUC-preprocess-train.py# Preprocessing training data of AUC dataset.
#AUC-preprocess-test.py# Preprocessing testing data of AUC dataset.
#SFD-preprocess.py# Preprocessing data of SFD dataset.
#main_AFM3DTW_SFD_densenet121.py# Running this main file to use AFM3DTW train densenet121 in SFD dataset.
#learner_AFM3DTW_SFD_densenet121.py# Used by 'main_AFM3DTW_SFD_densenet121.py'. Note that you can change models, datasets, and methods here conveniently.
#client_AFM3DTW_SFD_densenet121.py# Used by 'learner_AFM3DTW_SFD_densenet121.py'. Note that various training functions are provided here.