CERT-Lab / fedex-loraLinks
(ACL '25 - Oral) FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models
☆30Updated 4 months ago
Alternatives and similar repositories for fedex-lora
Users that are interested in fedex-lora are comparing it to the libraries listed below
Sorting:
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆151Updated 2 weeks ago
- Latest Advances on Federated LLM Learning☆96Updated 7 months ago
- ☆110Updated last year
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆103Updated 6 months ago
- ☆19Updated last year
- [CVPR 2024] Official Repository for "FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning"☆33Updated last year
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆64Updated 2 years ago
- [KDD 2023] FedMultimodal: A Benchmark For Multimodal Federated Learning☆136Updated 8 months ago
- Awesome Federated Unlearning (FU) Papers (Continually Update)☆108Updated last year
- Selective Aggregation for Low-Rank Adaptation in Federated Learning [ICLR 2025]☆57Updated 9 months ago
- An official implementation of "FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model", which has been accepted by KDD'2…☆61Updated 11 months ago
- ☆27Updated 2 years ago
- This repository provides a comprehensive collection of papers focused on Multimodal Federated Learning (MMFL).☆75Updated last year
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆224Updated 2 months ago
- Code implementation of the paper "Federated Unlearning: How to Efficiently Erase a Client in FL?" published at UpML (part of ICML 2022)☆45Updated 4 months ago
- ☆117Updated last year
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆62Updated last year
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆128Updated last year
- Papers related to federated learning in top conferences (2020-2024).☆69Updated last year
- Simplified Implementation of FedPAC☆61Updated 2 years ago
- Source code of FedPrompt☆16Updated 3 years ago
- Federated Learning in CVPR2024☆19Updated last year
- ☆65Updated 2 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆168Updated last year
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆90Updated 2 years ago
- ☆38Updated 2 months ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆175Updated 3 years ago
- Code Implementation and Informations about FedAS☆32Updated last year
- Pytorch implementations of some general federated optimization methods.☆52Updated last year
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆35Updated 3 years ago