| Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks | Jun 14, 2024 | DiversityEdge-computing | —Unverified | 0 |
| Federated Graph Learning with Adaptive Importance-based Sampling | Sep 23, 2024 | Federated LearningGraph Learning | —Unverified | 0 |
| Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models | Jan 12, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Differentially Private Matrix Completion Revisited | Dec 28, 2017 | Collaborative FilteringMatrix Completion | —Unverified | 0 |
| H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications | Dec 9, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| H-FLTN: A Privacy-Preserving Hierarchical Framework for Electric Vehicle Spatio-Temporal Charge Prediction | Feb 25, 2025 | Demand ForecastingFederated Learning | —Unverified | 0 |
| Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks | Jun 1, 2023 | Graph LearningPrivacy Preserving | —Unverified | 0 |
| FLBench: A Benchmark Suite for Federated Learning | Aug 17, 2020 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 |
| Differentially Private M-Estimators | Dec 1, 2011 | Privacy Preserving | —Unverified | 0 |
| How Does Knowledge of the AUC Constrain the Set of Possible Ground-truth Labelings? | Sep 7, 2017 | Binary ClassificationPrivacy Preserving | —Unverified | 0 |
