CERT-Lab / fed-sbLinks
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning
☆26Updated 4 months ago
Alternatives and similar repositories for fed-sb
Users that are interested in fed-sb are comparing it to the libraries listed below
Sorting:
- ☆110Updated last year
- Selective Aggregation for Low-Rank Adaptation in Federated Learning [ICLR 2025]☆57Updated 9 months ago
- ☆31Updated last year
- Federated Learning - PyTorch☆15Updated 4 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆55Updated 2 years ago
- Implementation for PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs☆24Updated last year
- (ACL '25 - Oral) FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models☆30Updated 4 months ago
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆151Updated 2 weeks ago
- ☆117Updated last year
- ☆65Updated 2 years ago
- Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)☆17Updated 2 years ago
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆31Updated last month
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆61Updated 2 years ago
- ☆38Updated 2 months ago
- ☆51Updated last year
- [CVPR 2024] Official Repository for "FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning"☆33Updated last year
- Federated learning using a mixture of experts☆17Updated 4 years ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆82Updated 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
- ☆18Updated last year
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆64Updated 2 years ago
- This is the official implementation of the IJCAI 2024 paper "FedPFT: Federated Proxy Fine-Tuning of Foundation Models".☆26Updated last year
- FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion (NeurIPS 2024 Spotlight)☆14Updated 10 months ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆62Updated last year
- Source code of FedPrompt☆16Updated 3 years ago
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆35Updated 3 years ago
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆34Updated 2 years ago
- Federated Learning in CVPR2024☆19Updated last year
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Updated 2 years ago
- Self-Teaching Notes on Gradient Leakage Attacks against GPT-2 models.☆14Updated last year