Alternatives and similar repositories for FedDAG:

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

• watml / Fed-MGDA
  ☆26Updated 2 years ago
• illidanlab / FADE
  [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …
  ☆26Updated 2 years ago
• shenzebang / Federated-Learning-Pytorch
  ☆40Updated last year
• lokali / FedCDH
  ☆11Updated last year
• dual-grp / FedU_FMTL
  ☆16Updated 4 years ago
• Oxfordblue7 / GCFL
  This repository is the implementation of Federated Graph Classification over Non-IID Graphs.
  ☆41Updated last year
• vanderschaarlab / DECAF
  DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
  ☆20Updated 2 years ago
• akhilmathurs / orchestra
  Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"
  ☆55Updated last year
• FedEgo / FedEgo
  ☆16Updated 7 months ago
• baowenxuan / FedCollab
  [ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.
  ☆18Updated last year
• cuis15 / learning-to-collaborate
  ☆11Updated 2 years ago
• zibinpan / FedMDFG
  ☆17Updated last year
• zewei-long / fedcon-pytorch
  A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.
  ☆20Updated 2 years ago
• huawei-noah / Federated-Learning
  ☆19Updated 10 months ago
• RainbowPillow / federatedlearning_daily
  ☆9Updated last year
• pierreHmbt / FedCP-QQ
  Federated Conformal Prediction with Quantile-of-Quantiles (FedCP-QQ)
  ☆11Updated last year
• hongyouc / FedBE
  FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
  ☆38Updated last year
• LTTM / FedSpace
  PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…
  ☆33Updated last year
• LFhase / FeAT
  [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization
  ☆29Updated 9 months ago
• melodi-lab / divfl
  Diverse Client Selection for Federated Learning via Submodular Maximization
  ☆29Updated 2 years ago
• JinheonBaek / FED-PUB
  Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)
  ☆47Updated last year
• tmtuan1307 / LANDER
  [CVPR-2024] Text-Enhanced Data-free Approach for Federated Class-Incremental Learning
  ☆12Updated 3 months ago
• yzeng58 / Improving-Fairness-via-Federated-Learning
  ☆13Updated 2 years ago
• lunanbit / FedUL
  FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients
  ☆33Updated last year
• Practicing-Federated-Learning-for-IoT / Anomaly-Detection-via-Federated-Transformer
  ☆11Updated 2 years ago
• ceh-2000 / fed_cvae
  Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.
  ☆17Updated last year
• ym1231 / fl-cir
  Source code of paper entitled "Federated Learning with Class Imbalance Reduction".
  ☆10Updated 4 years ago
• wizard1203 / VHL
  ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
  ☆41Updated 2 years 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
• ellenxtan / ifedtree
  ifedtree: tree-based federated learning for heterogeneous model harmonization (ICML 2022)
  ☆12Updated 2 years ago