Federated_Learning_Exploration

Exploring fairness in the Adult-income dataset in a Federated Learning set-up with TensorFlow, torch and Pysyft.

Name		Name	Last commit message	Last commit date
Latest commit History 35 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Data		Data
Models		Models
4_client_system.ipynb		4_client_system.ipynb
8_client_system.ipynb		8_client_system.ipynb
Normal_DP_adult_dataset.ipynb		Normal_DP_adult_dataset.ipynb
README.md		README.md
data_prepossessing.ipynb		data_prepossessing.ipynb
data_repairing.ipynb		data_repairing.ipynb
distributions.docx		distributions.docx
distributions.pdf		distributions.pdf
distributions_updated.pdf		distributions_updated.pdf
frequency_distributions.pdf		frequency_distributions.pdf
frequency_distributions_2.pdf		frequency_distributions_2.pdf
healthcare_diabetes_Classification-Copy1.ipynb		healthcare_diabetes_Classification-Copy1.ipynb
single_batch_distributions.pdf		single_batch_distributions.pdf
training_fnlwgt.ipynb		training_fnlwgt.ipynb
training_non_repaired_data_server.ipynb		training_non_repaired_data_server.ipynb
training_repaired_data_client.ipynb		training_repaired_data_client.ipynb
training_repaired_data_server.ipynb		training_repaired_data_server.ipynb

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