Alternatives and similar repositories for FedCola:

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

• HaokunChen245 / FedDAT
  [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning
  ☆53Updated last year
• HongxiaLee / FedOTP
  Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
  ☆36Updated last year
• yuhangchen0 / FedHEAL
  CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
  ☆17Updated 10 months ago
• shijiangming1 / CLIP2FL
  ☆28Updated 11 months ago
• WenkeHuang / RethinkFL
  CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View
  ☆100Updated 3 months ago
• MMorafah / FL-SC-NIID
  Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks
  ☆24Updated 2 years ago
• WenkeHuang / HeteroFL
  Benchmark for Hetergeneous Federated Learning by MARS Group at the Wuhan University, led by Prof. Mang Ye.
  ☆18Updated last year
• FLAIR-THU / CreamFL
  [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble
  ☆106Updated 3 months ago
• leondada / FedAPT
  ☆14Updated last year
• royson / fedl2p
  [NeurIPS'23] FedL2P: Federated Learning to Personalize
  ☆21Updated 9 months ago
• MingzhaoYang / FedDISC
  The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)
  ☆7Updated last year
• minglllli / CBAFed
  ☆13Updated last year
• cugzj / FedoSSL
  code for paper "Towards Unbiased Training in Federated Open-world Semi-supervised Learning"
  ☆16Updated last year
• tmlr-group / FedFed
  [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"
  ☆19Updated last year
• ZackZikaiXiao / FedGraB
  ☆16Updated last year
• PEILab-Federated-Learning / PromptFL
  PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model
  ☆34Updated 2 years ago
• WenkeHuang / FCCL
  TPAMI2023 & CVPR2022 - Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning & Learn From Others and B…
  ☆103Updated last year
• yuhangchen0 / Federated-Learning-in-CVPR2024
  Federated Learning in CVPR2024
  ☆17Updated 10 months ago
• ubc-tea / SGPT
  The official implantation of SGPT (CVPR2024)
  ☆12Updated 9 months ago
• MediaBrain-SJTU / FedGELA
  [NeurIPS 2023]Federated Learning with Bilateral Curation for Partially Class-Disjoint Data
  ☆12Updated 10 months ago
• Yutong-Dai / FedNH
  Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.
  ☆42Updated 2 years ago
• imguangyu / FedPerfix
  Official repository for FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning (ICCV2023)
  ☆16Updated last year
• haozhaowang / DaFKD2023
  Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation
  ☆27Updated last year
• yuetan031 / FedPCL
  [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
  ☆42Updated last year
• mmendiet / FedAlign
  Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]
  ☆60Updated 2 years ago
• tfzhou / FedFA
  ICLR 2023 - FedFA: Federated Feature Augmentation
  ☆56Updated 2 years ago
• wizard1203 / FuseFL
  FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion (NeurIPS 2024 Spotlight)
  ☆12Updated 2 weeks ago
• boschresearch / FedTPG
  Code for the ICLR 2024 paper Federated Text-driven Prompt Generation for Vision-Language Models (https://openreview.net/forum?id=NW31gAyl…
  ☆15Updated 11 months ago
• xiyuanyang45 / FedAS
  Code Implementation and Informations about FedAS
  ☆22Updated 2 months ago
• diaoenmao / SemiFL-Semi-Supervised-Federated-Learning-for-Unlabeled-Clients-with-Alternate-Training
  [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training
  ☆39Updated last year