| Differentially Private Federated Learning without Noise Addition: When is it Possible? | May 6, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Balancing the Past and Present: A Coordinated Replay Framework for Federated Class-Incremental Learning | Jul 10, 2025 | class-incremental learningClass Incremental Learning | —Unverified | 0 | 0 |
| An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging | Jul 18, 2021 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization | Jan 30, 2025 | Decision MakingFederated Learning | —Unverified | 0 | 0 |
| Differentially Private Federated Combinatorial Bandits with Constraints | Jun 27, 2022 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Privacy-Preserving Taxi-Demand Prediction Using Federated Learning | May 14, 2023 | Federated LearningPrediction | —Unverified | 0 | 0 |
| Differentially Private False Discovery Rate Control | Jul 11, 2018 | Privacy PreservingTwo-sample testing | —Unverified | 0 | 0 |
| Differentially Private Exploration in Reinforcement Learning with Linear Representation | Dec 2, 2021 | Privacy Preservingreinforcement-learning | —Unverified | 0 | 0 |
| Balancing Privacy and Action Performance: A Penalty-Driven Approach to Image Anonymization | Apr 19, 2025 | Action RecognitionActivity Recognition | —Unverified | 0 | 0 |
| Privacy Preserving Adaptive Experiment Design | Jan 16, 2024 | Privacy Preserving | —Unverified | 0 | 0 |
