| A Statistical Approach for Synthetic EEG Data Generation | Apr 22, 2025 | EEGElectroencephalogram (EEG) | CodeCode Available | 0 | 5 |
| LFFR: Logistic Function For (single-output) Regression | Jul 13, 2024 | Privacy Preservingregression | CodeCode Available | 0 | 5 |
| Differentially private federated deep learning for multi-site medical image segmentation | Jul 6, 2021 | Deep LearningFederated Learning | CodeCode Available | 0 | 5 |
| DPM: Clustering Sensitive Data through Separation | Jul 6, 2023 | ClusteringPrivacy Preserving | CodeCode Available | 0 | 5 |
| Empowering Data Mesh with Federated Learning | Mar 26, 2024 | Decision MakingFederated Learning | CodeCode Available | 0 | 5 |
| Privacy-Preserving Graph Embedding based on Local Differential Privacy | Oct 17, 2023 | Graph EmbeddingLink Prediction | CodeCode Available | 0 | 5 |
| Locally Private Bayesian Inference for Count Models | Mar 22, 2018 | Bayesian InferenceLink Prediction | CodeCode Available | 0 | 5 |
| Contrastive Learning and Adversarial Disentanglement for Task-Oriented Semantic Communications | Oct 30, 2024 | AttributeContrastive Learning | CodeCode Available | 0 | 5 |
| Low Latency Privacy Preserving Inference | Dec 27, 2018 | Privacy PreservingTransfer Learning | CodeCode Available | 0 | 5 |
| LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration | May 8, 2025 | Privacy PreservingRAG | CodeCode Available | 0 | 5 |
| Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation | Jul 14, 2025 | Domain AdaptationFederated Learning | CodeCode Available | 0 | 5 |
| Domain Adaptation from Scratch | Sep 2, 2022 | Active LearningDomain Adaptation | CodeCode Available | 0 | 5 |
| DP-EM: Differentially Private Expectation Maximization | May 23, 2016 | Privacy Preserving | CodeCode Available | 0 | 5 |
| 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 | 5 |
| Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning | Sep 2, 2024 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Differentially Private Knowledge Distillation via Synthetic Text Generation | Mar 1, 2024 | Knowledge DistillationModel Compression | CodeCode Available | 0 | 5 |
| BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoT | Dec 5, 2024 | Federated LearningImitation Learning | CodeCode Available | 0 | 5 |
| Distributed Differentially Private Computation of Functions with Correlated Noise | Apr 22, 2019 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records | Jun 12, 2019 | De-identificationPrivacy Preserving | CodeCode Available | 0 | 5 |
| Dirichlet Mechanism for Differentially Private KL Divergence Minimization | Oct 3, 2021 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Disparate Impact on Group Accuracy of Linearization for Private Inference | Feb 6, 2024 | FairnessPrivacy Preserving | CodeCode Available | 0 | 5 |
| Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization | Dec 1, 2018 | Privacy Preserving | CodeCode Available | 0 | 5 |
| DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference | Mar 10, 2023 | Bayesian InferenceDrug Design | CodeCode Available | 0 | 5 |
| Model-Protected Multi-Task Learning | Sep 18, 2018 | modelMulti-Task Learning | CodeCode Available | 0 | 5 |
| Differentially Private Sliced Wasserstein Distance | Jul 5, 2021 | Domain AdaptationPrivacy Preserving | CodeCode Available | 0 | 5 |
