XinyiYS/Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning

Stars
21
Rank 1,084,038 (Top 22 %)
Language
Python
License
MIT License
Created about 3 years ago
Updated about 1 year ago

XinyiYS/Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning

XinyiYS

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurIPS'21.

CollaborativeFairFederatedLearning

Official implementation of our work "Collaborative Fairness in Federated Learning."

Robust-and-Fair-Federated-Learning

Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning".

CML-RewardDistribution

The code for the paper "Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards" AAAI'22 Oral Presentation.

ModelShapley

Implementation of our NeurIPS'23 paper: Model Shapley: Equitable Model Valuation with Black-box Access.

Parametric-Bayesian-Learning-Games

Official implementation of our ICML'22 paper: "On the Convergence of the Shapley Value in Parametric Bayesian Learning Games".

FAIR

Official implementation of our AISTATS 2023 paper "FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery".

Jupyter Notebook