| FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations | Feb 2, 2023 | Federated Learningglobal-optimization | CodeCode Available | 0 |
| Practical Differentially Private and Byzantine-resilient Federated Learning | Apr 15, 2023 | Federated LearningPrivacy Preserving | CodeCode Available | 0 |
| Mechanistic Interpretability in the Presence of Architectural Obfuscation | Jun 22, 2025 | Large Language ModelPrivacy Preserving | CodeCode Available | 0 |
| Differentially private partitioned variational inference | Sep 23, 2022 | Federated LearningPrivacy Preserving | CodeCode Available | 0 |
| Federated Domain Generalization via Prompt Learning and Aggregation | Nov 15, 2024 | Domain GeneralizationPrivacy Preserving | CodeCode Available | 0 |
| FedPH: Privacy-enhanced Heterogeneous Federated Learning | Jan 27, 2023 | Federated LearningPrivacy Preserving | CodeCode Available | 0 |
| Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin Data | Aug 9, 2023 | Privacy Preserving | CodeCode Available | 0 |
| FedIMPUTE: Privacy-Preserving Missing Value Imputation for Multi-Site Heterogeneous Electronic Health Records | Aug 22, 2024 | Federated LearningMissing Values | CodeCode Available | 0 |
| MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic Encryption | Jan 17, 2024 | Medical Image AnalysisPrivacy Preserving | CodeCode Available | 0 |
| FedKD-hybrid: Federated Hybrid Knowledge Distillation for Lithography Hotspot Detection | Jan 7, 2025 | Federated LearningKnowledge Distillation | CodeCode Available | 0 |
