| Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data | Aug 7, 2023 | Contrastive LearningFederated Learning | CodeCode Available | 1 | 5 |
| A Survey for Federated Learning Evaluations: Goals and Measures | Aug 23, 2023 | Federated LearningPrivacy Preserving | CodeCode Available | 1 | 5 |
| Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining | Dec 13, 2022 | PositionPrivacy Preserving | CodeCode Available | 1 | 5 |
| CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU | Apr 22, 2021 | BIG-bench Machine LearningCPU | CodeCode Available | 1 | 5 |
| Data Valuation and Detections in Federated Learning | Nov 9, 2023 | Data ValuationFederated Learning | CodeCode Available | 1 | 5 |
| Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds | May 6, 2016 | Privacy Preserving | CodeCode Available | 1 | 5 |
| ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing | Jun 8, 2020 | CPUFederated Learning | CodeCode Available | 1 | 5 |
| Continual atlas-based segmentation of prostate MRI | Nov 1, 2023 | Continual Learningimage-classification | CodeCode Available | 1 | 5 |
| CryptoNN: Training Neural Networks over Encrypted Data | Apr 15, 2019 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 1 | 5 |
| APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service | Aug 17, 2023 | Federated LearningPrivacy Preserving | CodeCode Available | 1 | 5 |
