| Distributed Optimal Allocation with Quantized Communication and Privacy-Preserving Guarantees | Sep 29, 2021 | Privacy Preserving | —Unverified | 0 |
| Secure Multi-Party Computation based Privacy Preserving Data Analysis in Healthcare IoT Systems | Sep 29, 2021 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Fairness-Driven Private Collaborative Machine Learning | Sep 29, 2021 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| Towards Communication-Efficient and Privacy-Preserving Federated Representation Learning | Sep 29, 2021 | Contrastive LearningFederated Learning | —Unverified | 0 |
| Privacy-Preserving Stealthy Attack Detection in Multi-Agent Control Systems | Sep 28, 2021 | Privacy Preserving | —Unverified | 0 |
| Federated Deep Learning with Bayesian Privacy | Sep 27, 2021 | Deep LearningFederated Learning | —Unverified | 0 |
| AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization | Sep 26, 2021 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers | Sep 26, 2021 | AttributeFederated Learning | —Unverified | 0 |
| SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning | Sep 24, 2021 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| Morse-STF: Improved Protocols for Privacy-Preserving Machine Learning | Sep 24, 2021 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 |
