| A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research | Oct 4, 2024 | FairnessFederated Learning | CodeCode Available | 0 |
| Harm Ratio: A Novel and Versatile Fairness Criterion | Oct 3, 2024 | Decision MakingFairness | —Unverified | 0 |
| Minimax Group Fairness in Strategic Classification | Oct 3, 2024 | ClassificationFairness | —Unverified | 0 |
| Achieving Fairness in Predictive Process Analytics via Adversarial Learning | Oct 3, 2024 | Fairness | —Unverified | 0 |
| Fair Decentralized Learning | Oct 3, 2024 | Fairness | CodeCode Available | 0 |
| PFGuard: A Generative Framework with Privacy and Fairness Safeguards | Oct 3, 2024 | Ensemble LearningFairness | —Unverified | 0 |
| Overcoming Representation Bias in Fairness-Aware data Repair using Optimal Transport | Oct 3, 2024 | AttributeFairness | —Unverified | 0 |
| Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation | Oct 2, 2024 | Fairness | —Unverified | 0 |
| Causal Inference Tools for a Better Evaluation of Machine Learning | Oct 2, 2024 | Causal InferenceEconometrics | —Unverified | 0 |
| FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness | Oct 2, 2024 | Fairness | —Unverified | 0 |
