| GTV: Generating Tabular Data via Vertical Federated Learning | Feb 3, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Federated Analytics: A survey | Feb 2, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations | Feb 2, 2023 | Federated Learningglobal-optimization | CodeCode Available | 0 |
| Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds | Feb 1, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Differentially Private Distributed Bayesian Linear Regression with MCMC | Jan 31, 2023 | Bayesian InferencePrivacy Preserving | CodeCode Available | 0 |
| Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillation | Jan 31, 2023 | GPUPrivacy Preserving | CodeCode Available | 0 |
| FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation | Jan 30, 2023 | Deep LearningFederated Learning | —Unverified | 0 |
| Efficient Node Selection in Private Personalized Decentralized Learning | Jan 30, 2023 | Privacy Preserving | CodeCode Available | 0 |
| Decentralized Entropic Optimal Transport for Distributed Distribution Comparison | Jan 28, 2023 | Domain AdaptationPrivacy Preserving | —Unverified | 0 |
| Context-Aware Differential Privacy for Language Modeling | Jan 28, 2023 | Language ModelingLanguage Modelling | —Unverified | 0 |
