| Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting | Dec 5, 2024 | Federated LearningManagement | CodeCode Available | 2 |
| Does Image Anonymization Impact Computer Vision Training? | Jun 8, 2023 | Face AnonymizationInstance Segmentation | CodeCode Available | 2 |
| Differentially Private Synthetic Data via Foundation Model APIs 2: Text | Mar 4, 2024 | Privacy Preserving | CodeCode Available | 2 |
| Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications | Sep 2, 2024 | CPUFederated Learning | CodeCode Available | 2 |
| Evaluation of Bio-Inspired Models under Different Learning Settings For Energy Efficiency in Network Traffic Prediction | Dec 23, 2024 | Privacy PreservingTraffic Prediction | CodeCode Available | 2 |
| FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models | Oct 16, 2023 | Federated Learningparameter-efficient fine-tuning | CodeCode Available | 2 |
| EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting | Jun 22, 2024 | Language ModelingLanguage Modelling | CodeCode Available | 2 |
| FedGH: Heterogeneous Federated Learning with Generalized Global Header | Mar 23, 2023 | Federated LearningPrediction | CodeCode Available | 2 |
| A Survey on Federated Fine-tuning of Large Language Models | Mar 15, 2025 | Federated Learningparameter-efficient fine-tuning | CodeCode Available | 2 |
| Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models | Sep 14, 2024 | parameter-efficient fine-tuningPrivacy Preserving | CodeCode Available | 2 |
