| Adam in Private: Secure and Fast Training of Deep Neural Networks with Adaptive Moment Estimation | Jun 4, 2021 | Privacy Preserving | —Unverified | 0 | 0 |
| Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI | Oct 29, 2024 | Federated LearningMRI segmentation | —Unverified | 0 | 0 |
| Adaptive Clipping for Privacy-Preserving Few-Shot Learning: Enhancing Generalization with Limited Data | Mar 27, 2025 | Few-Shot LearningMeta-Learning | —Unverified | 0 | 0 |
| Adaptive Federated Minimax Optimization with Lower Complexities | Nov 14, 2022 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Adaptive Federated Pruning in Hierarchical Wireless Networks | May 15, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack | Mar 14, 2024 | Data AugmentationFace Recognition | —Unverified | 0 | 0 |
| Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning | May 25, 2022 | Privacy PreservingSelf-Supervised Learning | —Unverified | 0 | 0 |
| Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning | Jul 14, 2020 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Addressing Client Drift in Federated Continual Learning with Adaptive Optimization | Mar 24, 2022 | Continual LearningFederated Learning | —Unverified | 0 | 0 |
| Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers | Apr 1, 2024 | Federated LearningLoad Forecasting | —Unverified | 0 | 0 |
