| Towards Multi-Objective Statistically Fair Federated Learning | Jan 24, 2022 | Data PoisoningFairness | —Unverified | 0 |
| α-Fairness User Pairing for Downlink NOMA Systems with Imperfect Successive Interference Cancellation | Jan 23, 2022 | Fairness | —Unverified | 0 |
| Can Model Compression Improve NLP Fairness | Jan 21, 2022 | FairnessKnowledge Distillation | —Unverified | 0 |
| Fair Node Representation Learning via Adaptive Data Augmentation | Jan 21, 2022 | Contrastive LearningData Augmentation | —Unverified | 0 |
| Minimax Demographic Group Fairness in Federated Learning | Jan 20, 2022 | FairnessFederated Learning | —Unverified | 0 |
| Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms | Jan 19, 2022 | Decision MakingFairness | —Unverified | 0 |
| On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections | Jan 17, 2022 | FairnessLink Prediction | —Unverified | 0 |
| Fairness in Federated Learning for Spatial-Temporal Applications | Jan 17, 2022 | FairnessFederated Learning | —Unverified | 0 |
| Fair Group-Shared Representations with Normalizing Flows | Jan 17, 2022 | AttributeFairness | —Unverified | 0 |
| Are Pretrained Multilingual Models Equally Fair Across Languages? | Jan 16, 2022 | Cloze TestFairness | —Unverified | 0 |
