| Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems | Jan 7, 2025 | FairnessFederated Learning | —Unverified | 0 |
| Disentangling Popularity and Quality: An Edge Classification Approach for Fair Recommendation | Jan 6, 2025 | Edge ClassificationFairness | —Unverified | 0 |
| Over-the-Air Fair Federated Learning via Multi-Objective Optimization | Jan 6, 2025 | FairnessFederated Learning | CodeCode Available | 0 |
| AFed: Algorithmic Fair Federated Learning | Jan 6, 2025 | FairnessFederated Learning | —Unverified | 0 |
| Knowledge Distillation with Adapted Weight | Jan 6, 2025 | 4kFairness | —Unverified | 0 |
| Fairness Through Matching | Jan 6, 2025 | AttributeFairness | CodeCode Available | 0 |
| LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases | Jan 6, 2025 | FairnessLanguage Modeling | CodeCode Available | 3 |
| Proof-of-Data: A Consensus Protocol for Collaborative Intelligence | Jan 6, 2025 | FairnessFederated Learning | —Unverified | 0 |
| Incentive-Compatible Federated Learning with Stackelberg Game Modeling | Jan 5, 2025 | FairnessFederated Learning | —Unverified | 0 |
| Representation Learning of Lab Values via Masked AutoEncoder | Jan 5, 2025 | FairnessImputation | CodeCode Available | 0 |