Alternatives and similar repositories for awesome-fm-fl

Users that are interested in awesome-fm-fl are comparing it to the libraries listed below

• Clin0212 / Awesome-Federated-LLM-Learning
  Latest Advances on Federated LLM Learning
  ☆88Updated 5 months ago
• TsingZ0 / HtFLlib
  You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.
  ☆219Updated last month
• 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…
  ☆102Updated 5 months ago
• abbottyanginchina / Awesome-Federated-Unlearning
  Awesome Federated Unlearning (FU) Papers (Continually Update)
  ☆108Updated last year
• usc-sail / fed-multimodal
  [KDD 2023] FedMultimodal
  ☆126Updated 7 months ago
• JianXu95 / FedPAC
  Simplified Implementation of FedPAC
  ☆60Updated 2 years ago
• haopr / MMFL
  This repository provides a comprehensive collection of papers focused on Multimodal Federated Learning (MMFL).
  ☆73Updated last year
• marswhu / HFL_Survey
  Heterogeneous Federated Learning: State-of-the-art and Research Challenges
  ☆167Updated last year
• yuetan031 / FedProto
  [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients
  ☆168Updated 3 years ago
• AIoT-MLSys-Lab / FedRolex
  [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…
  ☆64Updated last year
• Chenxing-Xuan / A-series-of-popular-science-in-federated-learning
  ☆80Updated last year
• Chung-ju / Federated-learning-papers
  Papers related to federated learning in top conferences (2020-2024).
  ☆69Updated last year
• woodenchild95 / FL-Simulator
  Pytorch implementations of some general federated optimization methods.
  ☆50Updated last year
• microsoft / PersonalizedFL
  Personalized federated learning codebase for research
  ☆406Updated 2 years ago
• Lee-Gihun / FedNTD
  (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
  ☆89Updated 2 years ago
• Pengxin-Guo / FedSA-LoRA
  Selective Aggregation for Low-Rank Adaptation in Federated Learning [ICLR 2025]
  ☆53Updated 8 months ago
• TsingZ0 / FedALA
  AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
  ☆143Updated last year
• HaokunChen245 / FedDAT
  [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning
  ☆63Updated last year
• ziyaow1010 / FederatedLLM
  ☆104Updated 11 months ago
• Xtra-Computing / MOON
  Model-Contrastive Federated Learning (CVPR 2021)
  ☆294Updated 3 years ago
• yuhangchen0 / Federated-Learning-in-CVPR2024
  Federated Learning in CVPR2024
  ☆19Updated last year
• Lydia-yang / FedDPA
  ☆19Updated last year
• lapisrocks / fedselect
  [CVPR 2024] Official Repository for "FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning"
  ☆30Updated last year
• TsingZ0 / FedTGP
  AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…
  ☆60Updated last year
• MediaBrain-SJTU / pFedGraph
  ☆36Updated 3 weeks ago
• FLAIR-THU / CreamFL
  [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble
  ☆126Updated last year
• SMILELab-FL / FedPETuning
  ☆65Updated 2 years ago
• PEILab-Federated-Learning / PromptFL
  PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model
  ☆43Updated 2 years ago
• zj-jayzhang / DENSE
  Official PyTorch implementation of DENSE (NeurIPS 2022)
  ☆33Updated 3 years ago
• CERT-Lab / fedex-lora
  (ACL 2025 - Oral) FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models
  ☆29Updated 2 months ago