Alternatives and similar repositories for FATE-LLM:

Users that are interested in FATE-LLM are comparing it to the libraries listed below

• longtanle / awesome-federated-LLM-learning
  This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…
  ☆79Updated 2 weeks ago
• rui-ye / OpenFedLLM
  ☆364Updated 2 months ago
• SMILELab-FL / FedPETuning
  ☆61Updated last year
• JayZhang42 / FederatedGPT-Shepherd
  Shepherd: A foundational framework enabling federated instruction tuning for large language models
  ☆222Updated last year
• FLAIR-THU / VFLAIR
  THU-AIR Vertical Federated Learning general, extensible and light-weight framework
  ☆91Updated 7 months ago
• SMILELab-FL / FedLab-benchmarks
  Standard federated learning implementations in FedLab and FL benchmarks.
  ☆155Updated last year
• ATP-1010 / FederatedLLM
  ☆57Updated last month
• FederatedAI / research
  ☆172Updated 3 months ago
• weimingwill / EasyFL
  An easy-to-use federated learning platform
  ☆297Updated last year
• HarliWu / FedBiOT
  An official implementation of "FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model", which has been accepted by KDD'2…
  ☆35Updated 2 months ago
• microsoft / PersonalizedFL
  Personalized federated learning codebase for research
  ☆367Updated last year
• Yangfan-Jiang / Federated-Learning-with-Differential-Privacy
  Implementation of dp-based federated learning framework using PyTorch
  ☆291Updated last year
• Echo-Wxl / Federated-Learning
  Overview of Federal Learning
  ☆286Updated 2 years ago
• llm-eff / FedPepTAO
  ☆32Updated 11 months ago
• TL-System / plato
  A federated learning framework to support scalable and reproducible research
  ☆355Updated 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
  ☆158Updated last year
• rruisong / pytorch_federated_learning
  PyTorch Federated Learning (easy to use and extend)
  ☆238Updated last year
• beiyuouo / awesome-asynchronous-federated-learning
  📦 Collect some Asynchronous Federated Learning papers.
  ☆111Updated last year
• TsingZ0 / HtFLlib
  You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.
  ☆131Updated this week
• APPFL / FedCompass
  [ICLR 2024] FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler
  ☆16Updated 9 months ago
• GTMLLab / VeryFL
  VeryFL is an experimental federated leraning framework embedded with blockchain
  ☆96Updated last month
• Xtra-Computing / FedTree
  A tree-based federated learning system (MLSys 2023)
  ☆145Updated last month
• lishenghui / blades
  ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning
  ☆139Updated this week
• OpenMined / PyVertical
  Privacy Preserving Vertical Federated Learning
  ☆217Updated last year
• zhuangdizhu / FedGen
  Code and data accompanying the FedGen paper
  ☆249Updated 3 months ago
• SMILELab-FL / FedLab
  A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
  ☆750Updated 6 months ago
• marswhu / HFL_Survey
  Heterogeneous Federated Learning: State-of-the-art and Research Challenges
  ☆143Updated last month
• wenzhu23333 / Differential-Privacy-Based-Federated-Learning
  Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…
  ☆368Updated 3 months ago
• NUAA-SmartSensing / FedModule
  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
  ☆160Updated last month
• Xtra-Computing / NIID-Bench
  Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)
  ☆579Updated 11 months ago