| Practical and Private Heterogeneous Federated Learning | Sep 29, 2021 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Demystifying Hyperparameter Optimization in Federated Learning | Sep 29, 2021 | Federated LearningHyperparameter Optimization | —Unverified | 0 |
| Distributed Optimal Allocation with Quantized Communication and Privacy-Preserving Guarantees | Sep 29, 2021 | Privacy Preserving | —Unverified | 0 |
| Privacy-preserving Task-Agnostic Vision Transformer for Image Processing | Sep 29, 2021 | Multi-Task LearningPrivacy Preserving | CodeCode Available | 0 |
| Towards Communication-Efficient and Privacy-Preserving Federated Representation Learning | Sep 29, 2021 | Contrastive LearningFederated Learning | —Unverified | 0 |
| Larger Model Causes Lower Classification Accuracy Under Differential Privacy: Reason and Solution | Sep 29, 2021 | Privacy Preserving | —Unverified | 0 |
| Multi-Trigger-Key: Towards Multi-Task Privacy-Preserving In Deep Learning | Sep 29, 2021 | AttributeDeep Learning | —Unverified | 0 |
| Secure Multi-Party Computation based Privacy Preserving Data Analysis in Healthcare IoT Systems | Sep 29, 2021 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Fairness-Driven Private Collaborative Machine Learning | Sep 29, 2021 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| Federated Contrastive Learning for Privacy-Preserving Unpaired Image-to-Image Translation | Sep 29, 2021 | Contrastive LearningImage-to-Image Translation | —Unverified | 0 |
