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Multiple ML models classifying whether a person is depressed on not using time series data - 'Depresjon' and performing Federated Learning using OpenMined's PySyft library and SGD for optimisation.

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data
data
 
 
.gitignore
.gitignore
 
 
README.md
README.md
 
 
classify_decision_tree.py
classify_decision_tree.py
 
 
classify_knn.py
classify_knn.py
 
 
classify_svm.py
classify_svm.py
 
 
federated_model.model
federated_model.model
 
 
main_federated_pred.py
main_federated_pred.py
 
 
main_federated_train.py
main_federated_train.py
 
 
main_models.py
main_models.py
 
 
neural_networks.py
neural_networks.py
 
 
preprocess.py
preprocess.py
 
 
requirements.txt
requirements.txt
 
 
to_train_data.csv
to_train_data.csv
 
 
utils.py
utils.py
 
 

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preserving-privacy-AI-in-healthcare-with-FL

Multiple ML models classifying whether a person is depressed on not using time series data - 'Depresjon' and performing Federated Learning using OpenMined's PySyft library and SGD for optimisation.

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Multiple ML models classifying whether a person is depressed on not using time series data - 'Depresjon' and performing Federated Learning using OpenMined's PySyft library and SGD for optimisation.

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sklearn python3 federated-learning openmined pysyf

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