houcharlie / PrE-TextLinks
Implementation for PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
☆23Updated 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:
- ☆18Updated last year
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Updated 2 years ago
- Federated Learning - PyTorch☆14Updated 4 years ago
- ☆83Updated 6 months ago
- Shepherd: A foundational framework enabling federated instruction tuning for large language models☆237Updated 2 years ago
- ☆64Updated 2 years ago
- ☆31Updated last year
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆96Updated last month
- An official implementation of "FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model", which has been accepted by KDD'2…☆48Updated 4 months ago
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆57Updated 2 years ago
- [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer☆44Updated last year
- Source code of FedPrompt☆15Updated 3 years ago
- Federated Learning Framework Benchmark (UniFed)☆49Updated 2 years ago
- Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning☆19Updated last month
- THU-AIR Vertical Federated Learning general, extensible and light-weight framework☆94Updated last year
- Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]☆99Updated this week
- ☆9Updated 2 years ago
- This is the official implementation of the IJCAI 2024 paper "FedPFT: Federated Proxy Fine-Tuning of Foundation Models".☆22Updated last year
- Federated Learning for LLMs.☆223Updated 7 months ago
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆29Updated last month
- Official code for "Evaluations of Machine Learning Privacy Defenses are Misleading" (https://arxiv.org/abs/2404.17399)☆10Updated last year
- The code for paper "The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)", exploring the privacy risk o…☆50Updated 5 months ago
- ☆153Updated 3 months ago
- ☆20Updated 7 months ago
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Updated last year
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆49Updated 6 months ago
- Codebase for decoding compressed trust.☆24Updated last year
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆34Updated last year
- Federated learning using a mixture of experts☆17Updated 4 years ago
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆62Updated 4 months ago