houcharlie / PrE-TextLinks
Implementation for PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
☆24Updated last year
Alternatives and similar repositories for PrE-Text
Users that are interested in PrE-Text are comparing it to the libraries listed below
Sorting:
- ☆99Updated 10 months ago
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆101Updated 4 months ago
- Shepherd: A foundational framework enabling federated instruction tuning for large language models☆248Updated 2 years ago
- Federated Learning - PyTorch☆14Updated 4 years ago
- ☆31Updated last year
- ☆65Updated 2 years ago
- An official implementation of "FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model", which has been accepted by KDD'2…☆58Updated 8 months ago
- ☆18Updated 2 years ago
- Self-Teaching Notes on Gradient Leakage Attacks against GPT-2 models.☆14Updated last year
- Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning☆23Updated last month
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆34Updated 2 years ago
- Federated Learning for LLMs.☆236Updated 3 weeks ago
- Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)☆17Updated 2 years ago
- ☆112Updated 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 8 months ago
- This is the official implementation of the IJCAI 2024 paper "FedPFT: Federated Proxy Fine-Tuning of Foundation Models".☆25Updated last year
- Federated Learning in CVPR2024☆19Updated last year
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆59Updated 11 months ago
- This is the official implementation for the paper: Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models☆18Updated last year
- Selective Aggregation for Low-Rank Adaptation in Federated Learning [ICLR 2025]☆51Updated 7 months ago
- THU-AIR Vertical Federated Learning general, extensible and light-weight framework☆99Updated last year
- Papers related to federated learning in top conferences (2020-2024).☆70Updated last year
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Updated 2 years ago
- Federated learning using a mixture of experts☆17Updated 4 years ago
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Updated 2 years ago
- ☆49Updated 2 weeks ago
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆30Updated 2 years ago
- Latest Advances on Federated LLM Learning☆78Updated 4 months ago
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆123Updated 11 months ago
- Source code of FedPrompt☆16Updated 3 years ago