| Demystifying Hyperparameter Optimization in Federated Learning | Sep 29, 2021 | Federated LearningHyperparameter Optimization | —Unverified | 0 | 0 |
| Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs | Jun 28, 2022 | Privacy PreservingSynthetic Data Generation | —Unverified | 0 | 0 |
| Federated Learning with Heterogeneous Differential Privacy | Oct 28, 2021 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty | Nov 23, 2020 | Federated LearningGraph Neural Network | —Unverified | 0 | 0 |
| Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework | Nov 3, 2022 | Drift DetectionPrivacy Preserving | —Unverified | 0 | 0 |
| Improving Multi-Center Generalizability of GAN-Based Fat Suppression using Federated Learning | Apr 10, 2024 | Federated LearningGenerative Adversarial Network | —Unverified | 0 | 0 |
| A Unified View of Differentially Private Deep Generative Modeling | Sep 27, 2023 | Privacy Preserving | —Unverified | 0 | 0 |
| FeMLoc: Federated Meta-learning for Adaptive Wireless Indoor Localization Tasks in IoT Networks | May 17, 2024 | Indoor LocalizationMeta-Learning | —Unverified | 0 | 0 |
| FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services | Oct 7, 2024 | Contrastive LearningPrivacy Preserving | —Unverified | 0 | 0 |
| FedZeN: Towards superlinear zeroth-order federated learning via incremental Hessian estimation | Sep 29, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
