Alternatives and similar repositories for FedETuning

Users that are interested in FedETuning are comparing it to the libraries listed below

• SMILELab-FL / FedPETuning
  ☆64Updated 2 years ago
• UbiquitousLearning / FedAdapter
  "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.
  ☆34Updated last year
• UbiquitousLearning / FwdLLM
  ☆32Updated last year
• ATP-1010 / FederatedLLM
  ☆80Updated 5 months ago
• HarukiYqM / All-In-One-Neural-Composition
  PyTorch code for our paper "Resource-Adaptive Federated Learning with All-In-One Neural Composition" (NeurIPS2022)
  ☆18Updated 2 years ago
• Chung-ju / Federated-learning-papers
  Papers related to federated learning in top conferences (2020-2024).
  ☆69Updated 8 months ago
• 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…
  ☆93Updated 2 weeks ago
• sxontheway / BalanceFL
  Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".
  ☆22Updated 2 years ago
• guobbin / PFL-MoE
  Federated Learning - PyTorch
  ☆14Updated 4 years ago
• FengHZ / BAFFLE
  The official implement of paper "Does Federated Learning Really Need Backpropagation?"
  ☆23Updated 2 years ago
• bibikar / feddst
  Federated Dynamic Sparse Training
  ☆30Updated 3 years ago
• BerivanIsik / sparse-random-networks
  Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated…
  ☆29Updated 2 years ago
• AI-secure / FLBenchmark-toolkit
  Federated Learning Framework Benchmark (UniFed)
  ☆49Updated 2 years ago
• llm-eff / FedPepTAO
  ☆31Updated last year
• yeachan-kr / c2a
  Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)
  ☆17Updated last year
• Princeton-SysML / FILM
  Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)
  ☆56Updated 2 years ago
• wanglun1996 / secure-robust-federated-learning
  ☆55Updated 2 years ago
• HarliWu / FedBiOT
  An official implementation of "FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model", which has been accepted by KDD'2…
  ☆46Updated 3 months ago
• Clin0212 / Awesome-Federated-LLM-Learning
  Latest Advances on Federated LLM Learning
  ☆49Updated 3 months ago
• FLAIR-THU / VFLAIR
  THU-AIR Vertical Federated Learning general, extensible and light-weight framework
  ☆92Updated 11 months ago
• eth-sri / lamp
  LAMP: Extracting Text from Gradients with Language Model Priors (NeurIPS '22)
  ☆24Updated last month
• zhuohangli / GGL
  A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".
  ☆58Updated 2 years ago
• rui-ye / FedLLM-Bench
  ☆99Updated 10 months ago
• yxdyc / pFedGate
  ☆27Updated 2 years ago
• facebookresearch / FL_partial_personalization
  Federated Learning with Partial Model Personalization
  ☆42Updated 2 years ago
• wanglikuan / fedmd_pytorch
  ☆8Updated 4 years ago
• LINs-lab / FedTHE
  [ICLR 2023] Test-time Robust Personalization for Federated Learning
  ☆53Updated last year
• s-huu / Ditto
  ☆54Updated 4 years ago
• bytedance / FedDecorr
  [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…
  ☆69Updated 2 years ago
• git-disl / scale-fl
  Code for ScaleFL
  ☆30Updated 2 years ago