rui-ye / FedLLM-BenchLinks
☆115Updated last year
Alternatives and similar repositories for FedLLM-Bench
Users that are interested in FedLLM-Bench are comparing it to the libraries listed below
Sorting:
- ☆105Updated 11 months ago
- Latest Advances on Federated LLM Learning☆88Updated 5 months ago
- ☆36Updated 3 weeks ago
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆102Updated 5 months ago
- ☆454Updated last year
- An official implementation of "FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model", which has been accepted by KDD'2…☆59Updated 9 months ago
- ☆65Updated 2 years ago
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆142Updated 2 weeks ago
- ☆31Updated last year
- Selective Aggregation for Low-Rank Adaptation in Federated Learning [ICLR 2025]☆53Updated 8 months ago
- Federated Learning in CVPR2024☆19Updated last year
- ☆35Updated last year
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆34Updated 2 years ago
- ☆72Updated 3 weeks ago
- PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model☆43Updated 2 years ago
- ☆19Updated last year
- ☆14Updated 11 months ago
- Papers related to federated learning in top conferences (2020-2024).☆69Updated last year
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆65Updated 9 months ago
- This repository provides a comprehensive collection of papers focused on Multimodal Federated Learning (MMFL).☆74Updated last year
- Simplified Implementation of FedPAC☆60Updated 2 years ago
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆126Updated last year
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆31Updated this week
- Awesome Federated Unlearning (FU) Papers (Continually Update)☆108Updated last year
- Federated Learning - PyTorch☆15Updated 4 years ago
- Source code of FedPrompt☆16Updated 3 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆219Updated last month
- Self-Teaching Notes on Gradient Leakage Attacks against GPT-2 models.☆14Updated last year
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆63Updated last year
- ☆33Updated 4 years ago