| A Selective Homomorphic Encryption Approach for Faster Privacy-Preserving Federated Learning | Jan 22, 2025 | Computational EfficiencyDiagnostic | —Unverified | 0 | 0 |
| A Snapshot of the Frontiers of Client Selection in Federated Learning | Sep 27, 2022 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Assessing Centrality Without Knowing Connections | May 28, 2020 | Privacy Preserving | —Unverified | 0 | 0 |
| Assessment of creditworthiness models privacy-preserving training with synthetic data | Dec 31, 2022 | Privacy Preserving | —Unverified | 0 | 0 |
| Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection | May 31, 2025 | Federated Learningparameter-efficient fine-tuning | —Unverified | 0 | 0 |
| A Statistical Viewpoint on Differential Privacy: Hypothesis Testing, Representation and Blackwell's Theorem | Sep 14, 2024 | InformativenessPrivacy Preserving | —Unverified | 0 | 0 |
| Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices | Aug 15, 2024 | Privacy Preserving | —Unverified | 0 | 0 |
| A Study of Data Augmentation Techniques to Overcome Data Scarcity in Wound Classification using Deep Learning | Nov 4, 2024 | Data AugmentationPrivacy Preserving | —Unverified | 0 | 0 |
| A Survey of Graph Unlearning | Aug 23, 2023 | Privacy PreservingRecommendation Systems | —Unverified | 0 | 0 |
| A Survey of Secure Computation Using Trusted Execution Environments | Feb 23, 2023 | Privacy PreservingSurvey | —Unverified | 0 | 0 |
