FairVFL
Fairness algorithm implementation
A collection of code implementing the FairVFL algorithm and its associated data structures and utilities for efficient and accurate fairness-aware machine learning model training.
Codes of FairVFL
7 stars
1 watching
1 forks
Language: Python
last commit: over 2 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 litian96/fair_flearn | This project develops and evaluates algorithms for fair resource allocation in federated learning, aiming to promote more inclusive AI systems. | 244 |
 zjelveh/learning-fair-representations | An implementation of Zemel et al.'s 2013 algorithm for learning fair representations in machine learning | 26 |
 mbilalzafar/fair-classification | Provides a Python implementation of fairness mechanisms in classification models to mitigate disparate impact and mistreatment. | 190 |
 google/ml-fairness-gym | An open-source tool for simulating the long-term impacts of machine learning-based decision systems on social environments | 314 |
 fairlearn/fairlearn | A tool to assess and mitigate unfairness in AI systems, helping developers ensure their models do not disproportionately harm certain groups of people. | 1,974 |
 wenshuoguo/robust-fairness-code | A framework for experimenting with robust optimization methods to improve fairness in machine learning models on noisy protected groups. | 6 |
 megantosh/fairness_measures_code | This repository contains implementations of measures to quantify discrimination in data | 38 |
 mmorafah/pacfl | Implementation of federated learning algorithms for distributed machine learning on private client data | 37 |
 ucsb-nlp-chang/fairness-reprogramming | A method to improve machine learning model fairness without retraining the entire network | 15 |
 mingruiliu-ml-lab/episode_plusplus | An algorithm for Federated Learning that handles client subsampling and data heterogeneity with unbounded smoothness | 0 |
 tensorflow/fairness-indicators | An evaluation toolkit to assess fairness in machine learning models | 343 |
 koaning/scikit-fairness | A Python library providing tools and algorithms for fairness in machine learning model development | 29 |
 younghjung/onlinemlrboostingwithvfdt | An implementation of online multi-label ranking boosting using VFDT as weak learners | 4 |
 ymjs-irfan/dp-fedsam | This repository provides an implementation of a differentially private federated learning algorithm designed to improve the robustness and performance of federated machine learning systems. | 42 |
 yinboc/liif | This project presents an approach to learning continuous image representation using a local implicit function. | 1,285 |