CERT-Lab / fed-sbLinks
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning
☆20Updated 3 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:
- ☆90Updated 8 months ago
- ☆31Updated last year
- Federated Learning - PyTorch☆14Updated 4 years ago
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Updated 2 years ago
- Selective Aggregation for Low-Rank Adaptation in Federated Learning [ICLR 2025]☆44Updated 5 months ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated 2 years ago
- Federated learning using a mixture of experts☆17Updated 4 years ago
- Implementation for PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs☆23Updated last year
- ☆65Updated 2 years ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆80Updated last year
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆59Updated 2 years ago
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆98Updated 2 months ago
- LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters☆37Updated last month
- Self-Teaching Notes on Gradient Leakage Attacks against GPT-2 models.☆11Updated last year
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆56Updated 8 months ago
- Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)☆17Updated last year
- This is the official implementation of the IJCAI 2024 paper "FedPFT: Federated Proxy Fine-Tuning of Foundation Models".☆24Updated last year
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆30Updated 2 years ago
- Federated Transformer (NeurIPS 24): a framework to enhance the performance of multi-party Vertical Federated Learning involving fuzzy ide…☆38Updated 9 months ago
- ☆16Updated last year
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆23Updated last year
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆31Updated 2 years ago
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Updated last year
- Diverse Client Selection for Federated Learning via Submodular Maximization☆32Updated 3 years ago
- [CVPR 2024] Official Repository for "FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning"☆27Updated 10 months ago
- ☆108Updated last year
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆34Updated 2 years ago
- ☆19Updated last year
- [DMLR 2024] FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things☆58Updated last year
- ☆47Updated last year