SMILELab-FL / FedLegalLinks
The first real-world FL benchmark for legal NLP
☆12Updated last year
Alternatives and similar repositories for FedLegal
Users that are interested in FedLegal are comparing it to the libraries listed below
Sorting:
- FedJudge: Federated Legal Large Language Model☆35Updated 10 months ago
- ☆18Updated last year
- ☆31Updated last year
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆58Updated 2 years ago
- Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)☆17Updated last year
- ☆12Updated 2 years ago
- ☆64Updated 2 years ago
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆34Updated last year
- [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer☆44Updated last year
- Federated Learning - PyTorch☆14Updated 4 years ago
- ☆21Updated last year
- 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
- Federated Learning Framework Benchmark (UniFed)☆49Updated 2 years ago
- Source code of FedPrompt☆15Updated 3 years ago
- ☆21Updated 4 months ago
- Official Code for ACL 2023 paper: "Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confid…☆23Updated 2 years ago
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Updated 2 years ago
- ☆25Updated 4 years ago
- ☆74Updated 3 years ago
- ☆83Updated 6 months ago
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆36Updated last year
- Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation☆55Updated last year
- Code Repo for paper Label Leakage and Protection in Two-party Split Learning (ICLR 2022).☆23Updated 3 years ago
- ☆12Updated 2 years ago
- Shepherd: A foundational framework enabling federated instruction tuning for large language models☆237Updated 2 years ago
- A survey of privacy problems in Large Language Models (LLMs). Contains summary of the corresponding paper along with relevant code☆67Updated last year
- Federated learning using a mixture of experts☆17Updated 4 years ago
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆96Updated this week
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆59Updated 9 months ago
- A Survey on Vulnerability of Federated Learning: An Algorithm Perspective☆17Updated last year