25 datasets found

Ensuring fairness is a crucial aspect of Federated Learning (FL), which enables the model to perform consistently across all clients. However, designing an FL algorithm that...

The dataset used in this paper is a causal graph representing the bail decision process. It includes variables such as race, gender, age, literacy, employment, and case...

The dataset used in the paper is a personalized news feed dataset, where users have different types and content is classified into groups.

The dataset used in the paper "Classification Under Strategic Self-Selection". It contains features and labels for bank customers, and is used to study the effects of...

The dataset used in the paper is a decision-making program that takes as input a vector of attributes and decides whether to hire or not.

The dataset used in the paper is a population model that describes a simple model of the population. It includes attributes such as ethnicity, college ranking, and years of...

Federated learning (FL) is a paradigm where many clients collaboratively train a model under the coordination of a central server, while keeping the training data locally...

The dataset used in the paper is a population-based interference scheme, where the population is composed of individuals with different strategies (HH, HL, LH, LL) and the goal...

The dataset used in the paper is a graph dataset, where each node represents a person and each edge represents a connection between two people. The dataset is used to evaluate...

The dataset used in the paper is a graph dataset, where each node represents a person and each edge represents a connection between two people. The dataset is used to evaluate...

The dataset used in the paper is a private car insurance dataset.

Bank dataset from 2014. The dataset contains 41188 records of direct marketing campaigns of a Portuguese banking institution corresponding to each client contacted. We chose 6...

The German dataset is a collection of 1,000 records, each containing information about an individual's credit history and demographic characteristics. The dataset is used for...

The dataset is used to evaluate the fairness of machine learning models.

The dataset is used to evaluate the fairness of a recidivism algorithm.

The FairRepair tool repairs an unfair decision tree to be fair relative to a dataset.

The dataset is used for evaluating the fairness of people annotations.

FairFace is a dataset of face images for fairness audit and evaluation, intentionally constructed to be approximately racially balanced.

The dataset used in the paper is a collection of probabilistic causal models, each representing a potentially socially-sensitive scenario.

DeBayes: a Bayesian method for debiasing network embeddings