| Towards Privacy-Preserving Person Re-identification via Person Identify Shift | Jul 15, 2022 | De-identificationPerson Re-Identification | —Unverified | 0 | 0 |
| Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models | Sep 6, 2024 | Privacy Preserving | —Unverified | 0 | 0 |
| Towards Private Learning on Decentralized Graphs with Local Differential Privacy | Jan 23, 2022 | BenchmarkingGraph Learning | —Unverified | 0 | 0 |
| Towards Real-time Drowsiness Detection for Elderly Care | Oct 21, 2020 | Privacy Preserving | —Unverified | 0 | 0 |
| Towards Representation Identical Privacy-Preserving Graph Neural Network via Split Learning | Jul 13, 2021 | Graph Neural NetworkPrivacy Preserving | —Unverified | 0 | 0 |
| Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis | Nov 6, 2024 | Anomaly DetectionFederated Learning | —Unverified | 0 | 0 |
| Towards Robust Federated Learning via Logits Calibration on Non-IID Data | Mar 5, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design | Dec 17, 2020 | Privacy Preserving | —Unverified | 0 | 0 |
| Towards Scalable Wireless Federated Learning: Challenges and Solutions | Oct 8, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Towards Split Learning-based Privacy-Preserving Record Linkage | Sep 2, 2024 | Privacy Preserving | —Unverified | 0 | 0 |
