HarliWu / FedBiOTLinks
An official implementation of "FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model", which has been accepted by KDD'24.
☆48Updated 4 months ago
Alternatives and similar repositories for FedBiOT
Users that are interested in FedBiOT 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…☆96Updated last month
- ☆83Updated 6 months ago
- ☆64Updated 2 years ago
- ☆102Updated 11 months ago
- Latest Advances on Federated LLM Learning☆51Updated last week
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆34Updated last year
- ☆31Updated last year
- ☆404Updated 7 months ago
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆122Updated last month
- ☆15Updated 7 months ago
- Source code of FedPrompt☆15Updated 3 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆49Updated 6 months ago
- ☆32Updated last year
- Papers related to federated learning in top conferences (2020-2024).☆69Updated 9 months ago
- ☆16Updated last year
- Federated Learning for LLMs.☆223Updated 7 months ago
- Selective Aggregation for Low-Rank Adaptation in Federated Learning [ICLR 2025]☆38Updated 3 months ago
- Awesome Federated Unlearning (FU) Papers (Continually Update)☆95Updated last year
- Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)☆17Updated last year
- This repository provides a comprehensive collection of papers focused on Multimodal Federated Learning (MMFL).☆54Updated 11 months ago
- Simplified Implementation of FedPAC☆59Updated last year
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆150Updated 6 months ago
- ☆42Updated 5 months ago
- THU-AIR Vertical Federated Learning general, extensible and light-weight framework☆94Updated 11 months ago
- Federated Learning in CVPR2024☆18Updated last year
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆177Updated last month
- Federated learning using a mixture of experts☆17Updated 4 years ago
- This repository contains the official implementation of the paper entitled with "FedAPEN: Personalized Cross-silo Federated Learning with…☆13Updated last year
- Federated Learning - PyTorch☆14Updated 4 years ago
- [KDD 2023] FedMultimodal☆109Updated last month