| Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints | Oct 4, 2019 | ClusteringFederated Learning | CodeCode Available | 0 |
| Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning | Jun 4, 2025 | Federated Learningparameter-efficient fine-tuning | CodeCode Available | 0 |
| Privacy-preserving Q-Learning with Functional Noise in Continuous State Spaces | Jan 30, 2019 | Privacy PreservingQ-Learning | CodeCode Available | 0 |
| Gradient Leakage Defense with Key-Lock Module for Federated Learning | May 6, 2023 | Federated LearningPrivacy Preserving | CodeCode Available | 0 |
| Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST) | Dec 20, 2023 | Computational EfficiencyPrivacy Preserving | CodeCode Available | 0 |
| Privacy-Preserving Autoencoder for Collaborative Object Detection | Feb 29, 2024 | License Plate RecognitionObject | CodeCode Available | 0 |
| ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification | Nov 24, 2023 | Federated Learningimage-classification | CodeCode Available | 0 |
| Privacy-Preserving Bandits | Sep 10, 2019 | Multi-Label ClassificationMUlTI-LABEL-ClASSIFICATION | CodeCode Available | 0 |
| Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting | May 22, 2023 | Decision MakingPrivacy Preserving | CodeCode Available | 0 |
| Towards Synthetic Data Generation for Improved Pain Recognition in Videos under Patient Constraints | Sep 24, 2024 | Dataset GenerationPrivacy Preserving | CodeCode Available | 0 |
