| Differentially Private Distributed Inference | Feb 13, 2024 | Decision MakingPrivacy Preserving | CodeCode Available | 0 |
| Privacy-Preserving Language Model Inference with Instance Obfuscation | Feb 13, 2024 | BenchmarkingLanguage Modeling | —Unverified | 0 |
| Differentially Private Training of Mixture of Experts Models | Feb 11, 2024 | Computational EfficiencyMixture-of-Experts | —Unverified | 0 |
| OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning | Feb 10, 2024 | Federated LearningInstruction Following | CodeCode Available | 3 |
| Systematic Assessment of Tabular Data Synthesis Algorithms | Feb 9, 2024 | Privacy Preserving | CodeCode Available | 1 |
| RQP-SGD: Differential Private Machine Learning through Noisy SGD and Randomized Quantization | Feb 9, 2024 | Privacy PreservingQuantization | —Unverified | 0 |
| FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning | Feb 8, 2024 | continuous-controlContinuous Control | CodeCode Available | 1 |
| Version age-based client scheduling policy for federated learning | Feb 8, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery | Feb 8, 2024 | Continual LearningContinual Semantic Segmentation | CodeCode Available | 0 |
| On the Convergence of Zeroth-Order Federated Tuning for Large Language Models | Feb 8, 2024 | Federated LearningGPU | —Unverified | 0 |
