| Bandwidth Reservation for Time-Critical Vehicular Applications: A Multi-Operator Environment | Mar 22, 2025 | Deep Reinforcement LearningFairness | —Unverified | 0 |
| Combining Contention-Based Spectrum Access and Adaptive Modulation using Deep Reinforcement Learning | Sep 24, 2021 | Deep Reinforcement LearningFairness | —Unverified | 0 |
| Distributed Proximal Policy Optimization for Contention-Based Spectrum Access | Oct 7, 2021 | Fairness | —Unverified | 0 |
| Distributed Quasi-Newton Method for Fair and Fast Federated Learning | Jan 18, 2025 | FairnessFederated Learning | —Unverified | 0 |
| AIDRIN 2.0: A Framework to Assess Data Readiness for AI | May 22, 2025 | FairnessFederated Learning | —Unverified | 0 |
| Distributing Synergy Functions: Unifying Game-Theoretic Interaction Methods for Machine-Learning Explainability | May 4, 2023 | Decision MakingFairness | —Unverified | 0 |
| Cooperative Evolutionary Pressure and Diminishing Returns Might Explain the Fermi Paradox: On What Super-AIs Are Like | Apr 1, 2024 | Fairness | —Unverified | 0 |
| Distributionally Robust Fair Principal Components via Geodesic Descents | Feb 7, 2022 | Dimensionality ReductionFairness | —Unverified | 0 |
| Distributionally Robust Federated Learning with Client Drift Minimization | May 21, 2025 | FairnessFederated Learning | —Unverified | 0 |
| Cooperative Energy Scheduling for Microgrids under Peak Demand Energy Plans | Jan 31, 2020 | FairnessScheduling | —Unverified | 0 |