| Differentially Private Bias-Term Fine-tuning of Foundation Models | Sep 30, 2022 | Privacy Preserving | CodeCode Available | 1 |
| On the Impossible Safety of Large AI Models | Sep 30, 2022 | Privacy Preserving | —Unverified | 0 |
| Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction | Sep 30, 2022 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| PrivMVMF: Privacy-Preserving Multi-View Matrix Factorization for Recommender Systems | Sep 29, 2022 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Joint Optimization of Energy Consumption and Completion Time in Federated Learning | Sep 29, 2022 | CPUFederated Learning | —Unverified | 0 |
| No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy" | Sep 29, 2022 | Dataset CondensationPrivacy Preserving | —Unverified | 0 |
| A Secure Federated Learning Framework for Residential Short Term Load Forecasting | Sep 29, 2022 | Demand ForecastingFederated Learning | —Unverified | 0 |
| Federated Stain Normalization for Computational Pathology | Sep 29, 2022 | DiversityFederated Learning | CodeCode Available | 0 |
| Momentum Gradient Descent Federated Learning with Local Differential Privacy | Sep 28, 2022 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Securing Federated Learning against Overwhelming Collusive Attackers | Sep 28, 2022 | Federated LearningPrivacy Preserving | —Unverified | 0 |
