| Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching | Oct 20, 2021 | Edge-computingFederated Learning | —Unverified | 0 |
| Distributed Sketching Methods for Privacy Preserving Regression | Feb 16, 2020 | Computational EfficiencyPrivacy Preserving | —Unverified | 0 |
| Distribution Discrepancy Maximization for Image Privacy Preserving | Nov 18, 2018 | Privacy Preserving | —Unverified | 0 |
| Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems | May 11, 2023 | Federated LearningNeural Architecture Search | —Unverified | 0 |
| DMPA: Model Poisoning Attacks on Decentralized Federated Learning for Model Differences | Feb 7, 2025 | Federated Learningmodel | —Unverified | 0 |
| DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering | Mar 30, 2024 | Privacy PreservingQuestion Answering | —Unverified | 0 |
| Does Differentially Private Synthetic Data Lead to Synthetic Discoveries? | Mar 20, 2024 | Privacy PreservingSynthetic Data Generation | —Unverified | 0 |
| AdpQ: A Zero-shot Calibration Free Adaptive Post Training Quantization Method for LLMs | May 22, 2024 | Privacy PreservingQuantization | —Unverified | 0 |
| Do Gradient Inversion Attacks Make Federated Learning Unsafe? | Feb 14, 2022 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| 2P-DNN : Privacy-Preserving Deep Neural Networks Based on Homomorphic Cryptosystem | Jul 23, 2018 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 |
