| A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted Learning | Jul 24, 2023 | Privacy Preserving | CodeCode Available | 0 |
| Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation | Jul 22, 2023 | Privacy Preservingregression | —Unverified | 0 |
| SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning | Jul 20, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency | Jul 20, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Blockchain-Based Federated Learning: Incentivizing Data Sharing and Penalizing Dishonest Behavior | Jul 19, 2023 | FairnessFederated Learning | —Unverified | 0 |
| Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey | Jul 18, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via Secure Flow | Jul 18, 2023 | DiversityPrivacy Preserving | —Unverified | 0 |
| Privacy-preserving patient clustering for personalized federated learning | Jul 17, 2023 | ClusteringFederated Learning | CodeCode Available | 0 |
| A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning | Jul 16, 2023 | Continual LearningFederated Learning | CodeCode Available | 2 |
| On the Utility Gain of Iterative Bayesian Update for Locally Differentially Private Mechanisms | Jul 15, 2023 | Privacy Preserving | CodeCode Available | 1 |
