| Differentially Private Dropout | Nov 30, 2017 | Privacy Preserving | —Unverified | 0 | 0 |
| Balanced Multi-modal Federated Learning via Cross-Modal Infiltration | Dec 31, 2023 | Distributed ComputingFederated Learning | —Unverified | 0 | 0 |
| Differentially-Private "Draw and Discard" Machine Learning | Jul 11, 2018 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Differentially Private Distributed Convex Optimization | Feb 28, 2023 | Distributed OptimizationFederated Learning | —Unverified | 0 | 0 |
| BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks | Nov 1, 2024 | FairnessFederated Learning | —Unverified | 0 | 0 |
| A New Dimensionality Reduction Method Based on Hensel's Compression for Privacy Protection in Federated Learning | May 1, 2022 | Dimensionality ReductionFederated Learning | —Unverified | 0 | 0 |
| Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond | Sep 1, 2023 | FairnessFederated Learning | —Unverified | 0 | 0 |
| Exploit the Leak: Understanding Risks in Biometric Matchers | Jul 25, 2023 | Privacy Preserving | —Unverified | 0 | 0 |
| Differentially Private Diffusion Models Generate Useful Synthetic Images | Feb 27, 2023 | Image GenerationPrivacy Preserving | —Unverified | 0 | 0 |
| Differentially Private Densest-k-Subgraph | May 6, 2025 | Graph MiningPrivacy Preserving | —Unverified | 0 | 0 |
