FederatedAI / FATE-LLM
Federated Learning for LLMs.
☆214Updated 5 months ago
Alternatives and similar repositories for FATE-LLM
Users that are interested in FATE-LLM are comparing it to the libraries listed below
Sorting:
- ☆76Updated 4 months ago
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆89Updated 3 months ago
- Shepherd: A foundational framework enabling federated instruction tuning for large language models☆230Updated last year
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Updated last year
- ☆63Updated last year
- ☆397Updated 5 months ago
- THU-AIR Vertical Federated Learning general, extensible and light-weight framework☆92Updated 9 months ago
- Personalized federated learning codebase for research☆389Updated last year
- Implementation of dp-based federated learning framework using PyTorch☆301Updated 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…☆45Updated 2 months ago
- VeryFL is an experimental federated leraning framework embedded with blockchain☆103Updated 3 months ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆159Updated 3 weeks ago
- Overview of Federal Learning☆292Updated 2 years ago
- ☆175Updated 6 months ago
- An easy-to-use federated learning platform☆298Updated last year
- A federated learning framework to support scalable and reproducible research☆362Updated 6 months ago
- ☆39Updated 3 months ago
- PyTorch Federated Learning (easy to use and extend)☆255Updated last year
- Code and data accompanying the FedGen paper☆253Updated 6 months ago
- A tree-based federated learning system (MLSys 2023)☆147Updated 3 months ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆166Updated 2 years ago
- Releasing the source code Version1.☆159Updated 3 years ago
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆111Updated last month
- ☆31Updated last year
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆766Updated 9 months ago
- ☆65Updated 6 months ago
- A curated repository for various papers in the domain of split learning.☆50Updated 8 months ago
- vertical federated learning demo with crypten☆47Updated 3 years ago
- 联邦学习模块化框架，支持各类FL。A universal federated learning framework, free to switch thread and process modes☆170Updated last month
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆149Updated 4 months ago