rui-ye / FedLLM-BenchLinks
☆105Updated 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:
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆97Updated 2 months ago
- ☆91Updated 8 months ago
- ☆422Updated 9 months ago
- Latest Advances on Federated LLM Learning☆63Updated 2 months ago
- ☆33Updated 2 years ago
- An official implementation of "FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model", which has been accepted by KDD'2…☆52Updated 6 months ago
- ☆65Updated 2 years ago
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆129Updated 3 months ago
- Federated Learning in CVPR2024☆18Updated last year
- Selective Aggregation for Low-Rank Adaptation in Federated Learning [ICLR 2025]☆44Updated 5 months ago
- PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model☆38Updated 2 years ago
- ☆31Updated last year
- ☆16Updated 9 months ago
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆34Updated 2 years ago
- ☆72Updated last year
- Papers related to federated learning in top conferences (2020-2024).☆69Updated 11 months ago
- Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)☆17Updated last year
- ☆35Updated last year
- Simplified Implementation of FedPAC☆60Updated last year
- Source code of FedPrompt☆15Updated 3 years ago
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆63Updated 6 months ago
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆114Updated 8 months ago
- Awesome Federated Unlearning (FU) Papers (Continually Update)☆98Updated last year
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆31Updated 2 years ago
- This is the code for "TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation" (ICCV 2023)☆48Updated last year
- This repository provides a comprehensive collection of papers focused on Multimodal Federated Learning (MMFL).☆57Updated last year
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆195Updated 2 weeks ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆56Updated 8 months ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated 2 years ago
- This is the official implementation of the IJCAI 2024 paper "FedPFT: Federated Proxy Fine-Tuning of Foundation Models".☆23Updated last year