| Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach | Jan 14, 2020 | FairnessFederated Learning | —Unverified | 0 |
| A Transformer-Based Deep Learning Approach for Fairly Predicting Post-Liver Transplant Risk Factors | Apr 5, 2023 | FairnessMulti-Task Learning | —Unverified | 0 |
| A Transactive Energy Market Framework Considering Network Constraints and Fairness | Mar 31, 2021 | Fairness | —Unverified | 0 |
| A toolkit of dilemmas: Beyond debiasing and fairness formulas for responsible AI/ML | Mar 3, 2023 | Decision MakingEthics | —Unverified | 0 |
| A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics | Jun 27, 2023 | Decision MakingFairness | —Unverified | 0 |
| AI-powered mechanisms as judges: Breaking ties in chess | Oct 15, 2022 | Fairness | —Unverified | 0 |
| Achievement and Fragility of Long-term Equitability | Jun 24, 2022 | Decision MakingFairness | —Unverified | 0 |
| Cultural Value Alignment in Large Language Models: A Prompt-based Analysis of Schwartz Values in Gemini, ChatGPT, and DeepSeek | May 21, 2025 | Fairness | —Unverified | 0 |
| A Theoretical Approach to Characterize the Accuracy-Fairness Trade-off Pareto Frontier | Oct 19, 2023 | Fairness | —Unverified | 0 |
| A TextGCN-Based Decoding Approach for Improving Remote Sensing Image Captioning | Sep 27, 2024 | DecoderFairness | —Unverified | 0 |
