| Privacy-Preserving Machine Learning in Untrusted Clouds Made Simple | Sep 9, 2020 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 |
| Hybrid Differentially Private Federated Learning on Vertically Partitioned Data | Sep 6, 2020 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Blockchain-based Federated Learning for Failure Detection in Industrial IoT | Sep 6, 2020 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| FLFE: A Communication-Efficient and Privacy-Preserving Federated Feature Engineering Framework | Sep 5, 2020 | Feature EngineeringPrivacy Preserving | —Unverified | 0 |
| ESMFL: Efficient and Secure Models for Federated Learning | Sep 3, 2020 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Fairness in the Eyes of the Data: Certifying Machine-Learning Models | Sep 3, 2020 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| Private Weighted Random Walk Stochastic Gradient Descent | Sep 3, 2020 | Privacy Preserving | —Unverified | 0 |
| Differentially private k-means clustering via exponential mechanism and max cover | Sep 2, 2020 | ClusteringPrivacy Preserving | —Unverified | 0 |
| POSEIDON: Privacy-Preserving Federated Neural Network Learning | Sep 1, 2020 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Privacy-Preserving Distributed Zeroth-Order Optimization | Aug 31, 2020 | Privacy Preserving | —Unverified | 0 |
