| GI-SMN: Gradient Inversion Attack against Federated Learning without Prior Knowledge | May 6, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces | Mar 2, 2023 | Privacy PreservingTime Series | —Unverified | 0 |
| Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data | Nov 16, 2019 | Privacy PreservingTransfer Learning | —Unverified | 0 |
| Gradient and Channel Aware Dynamic Scheduling for Over-the-Air Computation in Federated Edge Learning Systems | Dec 1, 2022 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| A Compressive Sensing Approach for Federated Learning over Massive MIMO Communication Systems | Mar 18, 2020 | Compressive SensingFederated Learning | —Unverified | 0 |
| Gradient Inversion of Federated Diffusion Models | May 30, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Gradient Obfuscation Gives a False Sense of Security in Federated Learning | Jun 8, 2022 | Federated Learningimage-classification | —Unverified | 0 |
| Gradient Sparsification Can Improve Performance of Differentially-Private Convex Machine Learning | Nov 30, 2020 | BIG-bench Machine Learningcompressed sensing | —Unverified | 0 |
| GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model | Jun 23, 2025 | Federated LearningLanguage Modeling | —Unverified | 0 |
| Graph-Homomorphic Perturbations for Private Decentralized Learning | Oct 23, 2020 | Privacy PreservingStochastic Optimization | —Unverified | 0 |
