| Differentially Private Distributed Convex Optimization | Feb 28, 2023 | Distributed OptimizationFederated Learning | —Unverified | 0 |
| Arbitrary Decisions are a Hidden Cost of Differentially Private Training | Feb 28, 2023 | Privacy Preserving | CodeCode Available | 0 |
| Differentially Private Diffusion Models Generate Useful Synthetic Images | Feb 27, 2023 | Image GenerationPrivacy Preserving | —Unverified | 0 |
| Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence | Feb 27, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain | Feb 27, 2023 | Contribution AssessmentFederated Learning | —Unverified | 0 |
| P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless Setups | Feb 26, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Personalizing Federated Learning with Over-the-Air Computations | Feb 24, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Federated Nearest Neighbor Machine Translation | Feb 23, 2023 | Federated LearningMachine Translation | —Unverified | 0 |
| A Survey of Secure Computation Using Trusted Execution Environments | Feb 23, 2023 | Privacy PreservingSurvey | —Unverified | 0 |
| Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning | Feb 22, 2023 | Federated LearningMeta-Learning | CodeCode Available | 0 |
