| Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design | Dec 17, 2020 | Privacy Preserving | —Unverified | 0 |
| Towards Scalable Wireless Federated Learning: Challenges and Solutions | Oct 8, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Towards Split Learning-based Privacy-Preserving Record Linkage | Sep 2, 2024 | Privacy Preserving | —Unverified | 0 |
| Towards Transactive Energy: An Analysis of Information-related Practical Issues | Dec 28, 2021 | Privacy Preserving | —Unverified | 0 |
| Towards Unbiased Federated Graph Learning: Label and Topology Perspectives | Apr 14, 2025 | FairnessGraph Learning | —Unverified | 0 |
| Towards Understanding the Impact of Model Size on Differential Private Classification | Nov 27, 2021 | feature selectionPrivacy Preserving | —Unverified | 0 |
| Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling | May 30, 2025 | Multi-Task LearningPrivacy Preserving | —Unverified | 0 |
| Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation | Jul 22, 2023 | Privacy Preservingregression | —Unverified | 0 |
| Traffic Flow Estimation using LTE Radio Frequency Counters and Machine Learning | Jan 22, 2021 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 |
| Training Differentially Private Graph Neural Networks with Random Walk Sampling | Jan 2, 2023 | Privacy PreservingPrivacy Preserving Deep Learning | —Unverified | 0 |
