| FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning | Dec 16, 2024 | Federated LearningImage Generation | CodeCode Available | 0 |
| UA-PDFL: A Personalized Approach for Decentralized Federated Learning | Dec 16, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes | Dec 15, 2024 | Federated LearningKnowledge Distillation | —Unverified | 0 |
| Learning Robust and Privacy-Preserving Representations via Information Theory | Dec 15, 2024 | Adversarial RobustnessAttribute | CodeCode Available | 0 |
| CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference | Dec 14, 2024 | Privacy Preserving | —Unverified | 0 |
| ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression | Dec 13, 2024 | Knowledge DistillationPrivacy Preserving | —Unverified | 0 |
| (ε, δ)-Differentially Private Partial Least Squares Regression | Dec 12, 2024 | Privacy Preservingregression | —Unverified | 0 |
| Federated In-Context LLM Agent Learning | Dec 11, 2024 | Federated LearningIn-Context Learning | —Unverified | 0 |
| Local Features Meet Stochastic Anonymization: Revolutionizing Privacy-Preserving Face Recognition for Black-Box Models | Dec 11, 2024 | Face RecognitionPrivacy Preserving | —Unverified | 0 |
| Cluster-Enhanced Federated Graph Neural Network for Recommendation | Dec 11, 2024 | Graph Neural NetworkPrivacy Preserving | —Unverified | 0 |
