├── .gitignore ├── Approximation comparison vs sampling ├── error.py ├── error_vs_N.csv ├── error_vs_N=5-10.csv ├── error_vs_d.csv ├── error_vs_d=1024-32768.csv └── plot_error.py ├── LICENSE ├── README.md ├── environment.yml ├── main.py └── utils ├── Data_Prepper.py ├── __init__.py ├── arguments.py ├── defined_models.py ├── mrdatasets.py └── utils.py /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/XinyiYS/Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning/HEAD/.gitignore -------------------------------------------------------------------------------- /Approximation comparison vs sampling/error.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/XinyiYS/Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning/HEAD/Approximation comparison vs sampling/error.py -------------------------------------------------------------------------------- /Approximation comparison vs sampling/error_vs_N.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/XinyiYS/Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning/HEAD/Approximation comparison vs sampling/error_vs_N.csv -------------------------------------------------------------------------------- /Approximation comparison vs sampling/error_vs_N=5-10.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/XinyiYS/Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning/HEAD/Approximation comparison vs sampling/error_vs_N=5-10.csv -------------------------------------------------------------------------------- /Approximation comparison vs sampling/error_vs_d.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/XinyiYS/Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning/HEAD/Approximation comparison vs sampling/error_vs_d.csv -------------------------------------------------------------------------------- /Approximation comparison vs sampling/error_vs_d=1024-32768.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/XinyiYS/Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning/HEAD/Approximation comparison vs sampling/error_vs_d=1024-32768.csv -------------------------------------------------------------------------------- /Approximation comparison vs sampling/plot_error.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/XinyiYS/Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning/HEAD/Approximation comparison vs sampling/plot_error.py -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/XinyiYS/Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning/HEAD/LICENSE -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/XinyiYS/Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning/HEAD/README.md -------------------------------------------------------------------------------- /environment.yml: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/XinyiYS/Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning/HEAD/environment.yml -------------------------------------------------------------------------------- /main.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/XinyiYS/Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning/HEAD/main.py -------------------------------------------------------------------------------- /utils/Data_Prepper.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/XinyiYS/Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning/HEAD/utils/Data_Prepper.py -------------------------------------------------------------------------------- /utils/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/XinyiYS/Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning/HEAD/utils/__init__.py -------------------------------------------------------------------------------- /utils/arguments.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/XinyiYS/Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning/HEAD/utils/arguments.py -------------------------------------------------------------------------------- /utils/defined_models.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/XinyiYS/Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning/HEAD/utils/defined_models.py -------------------------------------------------------------------------------- /utils/mrdatasets.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/XinyiYS/Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning/HEAD/utils/mrdatasets.py -------------------------------------------------------------------------------- /utils/utils.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/XinyiYS/Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning/HEAD/utils/utils.py --------------------------------------------------------------------------------