| Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services | Jun 20, 2022 | Edge-computingFairness | —Unverified | 0 | 0 |
| Towards Trustworthy Federated Learning | Mar 5, 2025 | FairnessFederated Learning | —Unverified | 0 | 0 |
| Toward Sufficient Statistical Power in Algorithmic Bias Assessment: A Test for ABROCA | Jan 8, 2025 | Fairness | —Unverified | 0 | 0 |
| Towards Unbiased Federated Graph Learning: Label and Topology Perspectives | Apr 14, 2025 | FairnessGraph Learning | —Unverified | 0 | 0 |
| Towards unraveling calibration biases in medical image analysis | May 9, 2023 | FairnessMedical Image Analysis | —Unverified | 0 | 0 |
| Towards User-Centered Metrics for Trustworthy AI in Immersive Cyberspace | Feb 22, 2022 | Fairness | —Unverified | 0 | 0 |
| Fairness-Oriented User Scheduling for Bursty Downlink Transmission Using Multi-Agent Reinforcement Learning | Dec 30, 2020 | Distributed OptimizationFairness | —Unverified | 0 | 0 |
| Toward the Tradeoffs between Privacy, Fairness and Utility in Federated Learning | Nov 30, 2023 | FairnessFederated Learning | —Unverified | 0 | 0 |
| Toward Understanding Bias Correlations for Mitigation in NLP | May 24, 2022 | FairnessWord Embeddings | —Unverified | 0 | 0 |
| TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property | Nov 13, 2024 | Decision MakingFairness | —Unverified | 0 | 0 |
