| An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms | Dec 24, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Regularized PolyKervNets: Optimizing Expressiveness and Efficiency for Private Inference in Deep Neural Networks | Dec 23, 2023 | Privacy Preserving | CodeCode Available | 0 |
| IRG: Generating Synthetic Relational Databases using Deep Learning with Insightful Relational Understanding | Dec 23, 2023 | Data AugmentationGenerative Adversarial Network | —Unverified | 0 |
| Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST) | Dec 20, 2023 | Computational EfficiencyPrivacy Preserving | CodeCode Available | 0 |
| Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection | Dec 20, 2023 | Federated LearningFraud Detection | —Unverified | 0 |
| Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding | Dec 19, 2023 | Graph EmbeddingInductive Bias | —Unverified | 0 |
| Sharing is CAIRing: Characterizing Principles and Assessing Properties of Universal Privacy Evaluation for Synthetic Tabular Data | Dec 19, 2023 | Privacy Preserving | —Unverified | 0 |
| FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants | Dec 18, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| A review of federated learning in renewable energy applications: Potential, challenges, and future directions | Dec 18, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| FedMKGC: Privacy-Preserving Federated Multilingual Knowledge Graph Completion | Dec 17, 2023 | Entity AlignmentFederated Learning | —Unverified | 0 |
