| FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation | Jun 26, 2025 | AttributeBenchmarking | —Unverified | 0 | 0 |
| FedCRL: Personalized Federated Learning with Contrastive Shared Representations for Label Heterogeneity in Non-IID Data | Apr 27, 2024 | Contrastive LearningDistributed Computing | —Unverified | 0 | 0 |
| FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems | Sep 8, 2022 | Fairness | —Unverified | 0 | 0 |
| FedDriveScore: Federated Scoring Driving Behavior with a Mixture of Metric Distributions | Jan 13, 2024 | FairnessFederated Learning | —Unverified | 0 | 0 |
| FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning | Aug 4, 2022 | Deep Reinforcement LearningFairness | —Unverified | 0 | 0 |
| Entropy-driven Fair and Effective Federated Learning | Jan 29, 2023 | FairnessFederated Learning | —Unverified | 0 | 0 |
| Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention | Sep 29, 2021 | FairnessRepresentation Learning | —Unverified | 0 | 0 |
| FATE in AI: Towards Algorithmic Inclusivity and Accessibility | Jan 3, 2023 | EthicsFairness | —Unverified | 0 | 0 |
| Debiasing Neural Retrieval via In-batch Balancing Regularization | May 18, 2022 | FairnessInformation Retrieval | —Unverified | 0 | 0 |
| A Unified Deterministic Channel Model for Multi-Type RIS with Reflective, Transmissive, and Polarization Operations | May 12, 2025 | Fairness | —Unverified | 0 | 0 |
