| Few-shot Image Recognition with Manifolds | Oct 22, 2020 | Few-Shot LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Demystifying Hyperparameter Optimization in Federated Learning | Sep 29, 2021 | Federated LearningHyperparameter Optimization | —Unverified | 0 | 0 |
| Federated Learning with Heterogeneous Differential Privacy | Oct 28, 2021 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Hyperdimensional Computing as a Rescue for Efficient Privacy-Preserving Machine Learning-as-a-Service | Aug 17, 2023 | Privacy Preserving | —Unverified | 0 | 0 |
| Hyper-parameter Optimization for Federated Learning with Step-wise Adaptive Mechanism | Nov 19, 2024 | AutoMLFederated Learning | —Unverified | 0 | 0 |
| I can't see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption | Feb 14, 2024 | image-classificationImage Classification | —Unverified | 0 | 0 |
| ID^3: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition | Sep 26, 2024 | DiversityFace Recognition | —Unverified | 0 | 0 |
| Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework | Nov 3, 2022 | Drift DetectionPrivacy Preserving | —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 |
