CERT-Lab / fed-sbLinks
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning
☆23Updated last month
Alternatives and similar repositories for fed-sb
Users that are interested in fed-sb are comparing it to the libraries listed below
Sorting:
- ☆98Updated 10 months ago
- ☆31Updated last year
- Selective Aggregation for Low-Rank Adaptation in Federated Learning [ICLR 2025]☆51Updated 6 months ago
- Federated Learning - PyTorch☆14Updated 4 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated 2 years ago
- Implementation for PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs☆24Updated last year
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆58Updated 10 months ago
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Updated 2 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆59Updated 2 years ago
- ☆65Updated 2 years ago
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆23Updated last year
- Collection of all the papers talking about/relevant to the topic of privacy-preserving LLMs☆37Updated 8 months ago
- ☆18Updated 11 months ago
- Code for paper "Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion"☆13Updated last year
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Updated 2 years ago
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆100Updated 3 months ago
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆31Updated 2 years ago
- ☆110Updated last year
- ☆17Updated last year
- Diverse Client Selection for Federated Learning via Submodular Maximization☆32Updated 3 years ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆81Updated last year
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆30Updated 2 years ago
- Source code of FedPrompt☆16Updated 3 years ago
- [CVPR 2024] Official Repository for "FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning"☆28Updated last year
- ☆34Updated 2 years ago
- Self-Teaching Notes on Gradient Leakage Attacks against GPT-2 models.☆13Updated last year
- Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)☆17Updated 2 years ago
- "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.☆28Updated 2 years ago
- This is the official implementation of the IJCAI 2024 paper "FedPFT: Federated Proxy Fine-Tuning of Foundation Models".☆25Updated last year
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆65Updated 7 months ago