Alternatives and similar repositories for c2a

Users that are interested in c2a are comparing it to the libraries listed below

• SMILELab-FL / FedPETuning
  ☆65Updated 2 years ago
• llm-eff / FedPepTAO
  ☆30Updated last year
• wuch15 / FedPrompt
  Source code of FedPrompt
  ☆16Updated 3 years ago
• ziyaow1010 / FederatedLLM
  ☆110Updated last year
• Pengxin-Guo / FedSA-LoRA
  Selective Aggregation for Low-Rank Adaptation in Federated Learning [ICLR 2025]
  ☆58Updated 9 months ago
• ZFancy / SFAT
  [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
  ☆31Updated last month
• edvinli / federated-learning-mixture
  Federated learning using a mixture of experts
  ☆17Updated 4 years 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…
  ☆104Updated 6 months ago
• MediaBrain-SJTU / pFedGraph
  ☆38Updated 2 months ago
• SamuelGong / grad_attacks
  Self-Teaching Notes on Gradient Leakage Attacks against GPT-2 models.
  ☆14Updated 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…
  ☆61Updated 11 months ago
• TsingZ0 / FedTGP
  AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…
  ☆63Updated last year
• LINs-lab / FedTHE
  [ICLR 2023] Test-time Robust Personalization for Federated Learning
  ☆55Updated 2 years ago
• Chung-ju / Federated-learning-papers
  Papers related to federated learning in top conferences (2020-2024).
  ☆69Updated last year
• leondada / FedRA
  ☆18Updated 2 years ago
• chenxingqiang / PFLoRA-lib
  PFLoRA-lib: Personalized Federated Learning with LoRA Algorithm Library focusing on privacy-protection, federated-learning, Citation, Ext…
  ☆14Updated last year
• eth-sri / lamp
  LAMP: Extracting Text from Gradients with Language Model Priors (NeurIPS '22)
  ☆29Updated 8 months ago
• Clin0212 / Awesome-Federated-LLM-Learning
  Latest Advances on Federated LLM Learning
  ☆97Updated 7 months ago
• JianXu95 / FedPAC
  Simplified Implementation of FedPAC
  ☆61Updated 2 years ago
• UbiquitousLearning / FedAdapter
  "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.
  ☆34Updated 2 years ago
• rui-ye / FedLLM-Bench
  ☆117Updated last year
• melodi-lab / divfl
  Diverse Client Selection for Federated Learning via Submodular Maximization
  ☆34Updated 3 years ago
• yuetan031 / FedPCL
  [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
  ☆43Updated 2 years ago
• zj-jayzhang / DENSE
  Official PyTorch implementation of DENSE (NeurIPS 2022)
  ☆35Updated 3 years ago
• guobbin / PFL-MoE
  Federated Learning - PyTorch
  ☆15Updated 4 years ago
• dunzeng / FedAWARE
  Code for AISTATS'25 paper - On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond
  ☆13Updated 4 months ago
• cyyever / distributed_learning_simulator
  For distributed machine learning
  ☆29Updated last month
• cugzj / KT-pFL
  ☆33Updated 4 years ago
• wizard1203 / VHL
  ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
  ☆41Updated 3 years ago
• ZexiLee / ICML-2023-FedLAW
  The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".
  ☆62Updated 2 years ago