| Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion | May 7, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Towards a Data Privacy-Predictive Performance Trade-off | Jan 13, 2022 | De-identificationPrivacy Preserving | —Unverified | 0 | 0 |
| Towards a More Reliable Privacy-preserving Recommender System | Nov 21, 2017 | Collaborative FilteringPrivacy Preserving | —Unverified | 0 | 0 |
| Towards a Privacy-preserving Deep Learning-based Network Intrusion Detection in Data Distribution Services | Jun 12, 2021 | Deep LearningIntrusion Detection | —Unverified | 0 | 0 |
| Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence | May 11, 2025 | Computational EfficiencyFederated Learning | —Unverified | 0 | 0 |
| Towards a User Privacy-Aware Mobile Gaming App Installation Prediction Model | Feb 7, 2023 | Privacy Preserving | —Unverified | 0 | 0 |
| Towards Automated Homomorphic Encryption Parameter Selection with Fuzzy Logic and Linear Programming | Feb 17, 2023 | Privacy Preserving | —Unverified | 0 | 0 |
| Towards autonomic orchestration of machine learning pipelines in future networks | Jul 17, 2021 | BIG-bench Machine LearningManagement | —Unverified | 0 | 0 |
| Towards Causal Federated Learning For Enhanced Robustness and Privacy | Apr 14, 2021 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Towards Communication Efficient and Fair Federated Personalized Sequential Recommendation | Aug 23, 2022 | FairnessFederated Learning | —Unverified | 0 | 0 |
