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| Privacy-Preserving Low-Rank Adaptation against Membership Inference Attacks for Latent Diffusion Models | Feb 19, 2024 | Privacy Preserving | CodeCode Available | 0 |
| Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging | Feb 3, 2023 | Computed Tomography (CT)Diagnostic | CodeCode Available | 0 |
| From Sleep Staging to Spindle Detection: Evaluating End-to-End Automated Sleep Analysis | May 8, 2025 | Privacy PreservingSleep Staging | CodeCode Available | 0 |
| Wasserstein Markets for Differentially-Private Data | Dec 3, 2024 | Decision MakingPrivacy Preserving | CodeCode Available | 0 |
| Exploring Federated Pruning for Large Language Models | May 19, 2025 | Privacy Preserving | CodeCode Available | 0 |
| A Hybrid Approach to Privacy-Preserving Federated Learning | Dec 7, 2018 | BIG-bench Machine LearningFederated Learning | CodeCode Available | 0 |
| FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels | Jul 10, 2024 | Federated LearningPrivacy Preserving | CodeCode Available | 0 |
| Multiple Teachers-Meticulous Student: A Domain Adaptive Meta-Knowledge Distillation Model for Medical Image Classification | Mar 17, 2024 | image-classificationImage Classification | CodeCode Available | 0 |
| Contrastive Learning and Adversarial Disentanglement for Task-Oriented Semantic Communications | Oct 30, 2024 | AttributeContrastive Learning | CodeCode Available | 0 |
