| Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data | Jun 12, 2020 | FairnessFederated Learning | —Unverified | 0 |
| Bridging the Global Divide in AI Regulation: A Proposal for a Contextual, Coherent, and Commensurable Framework | Mar 20, 2023 | EthicsFairness | —Unverified | 0 |
| Heterogeneous Multi-Agent Reinforcement Learning for Distributed Channel Access in WLANs | Dec 18, 2024 | Collision AvoidanceFairness | —Unverified | 0 |
| Hidden Bias in the Machine: Stereotypes in Text-to-Image Models | Jun 9, 2025 | FairnessImage Retrieval | —Unverified | 0 |
| Hidden Technical Debts for Fair Machine Learning in Financial Services | Mar 18, 2021 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| Hierarchical Deep Reinforcement Learning for Age-of-Information Minimization in IRS-aided and Wireless-powered Wireless Networks | Dec 27, 2022 | Deep Reinforcement LearningFairness | —Unverified | 0 |
| Hierarchical Federated Learning Incentivization for Gas Usage Estimation | Jul 1, 2023 | FairnessFederated Learning | —Unverified | 0 |
| Hierarchically Fair Federated Learning | Apr 22, 2020 | FairnessFederated Learning | —Unverified | 0 |
| Hierarchical VampPrior Variational Fair Auto-Encoder | Jun 26, 2018 | Decision MakingFairness | —Unverified | 0 |
| High-confidence pseudo-labels for domain adaptation in COVID-19 detection | Mar 20, 2024 | Domain AdaptationFairness | —Unverified | 0 |
