Alternatives and similar repositories for FedDAG

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

• Practicing-Federated-Learning-for-IoT / Anomaly-Detection-via-Federated-Transformer
  ☆11Updated 3 years ago
• lokali / FedCDH
  ☆12Updated last year
• Oxfordblue7 / GCFL
  This repository is the implementation of Federated Graph Classification over Non-IID Graphs.
  ☆45Updated 2 years ago
• yh-yao / FedGCN
  Official Code for FedGCN [NeurIPS 2023]
  ☆73Updated last year
• dawenzi098 / SFL-Structural-Federated-Learning
  IJCAI-Personalized Federated Learning with Graph
  ☆57Updated 2 years ago
• AllenBeau / pFedBayes
  Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]
  ☆57Updated 3 years ago
• yankang18 / FedBCD
  The implementation of FedBCD algorithm published in the paper "FedBCD: A Communication-Efficient Collaborative Learning Framework for Dis…
  ☆14Updated last year
• yzhao062 / UOMS
  Resources and environment for unsupervised outlier model selection (UOMS)
  ☆25Updated 3 years ago
• FedML-AI / SpreadGNN
  SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.
  ☆47Updated 3 years ago
• mengcz13 / KDD2021_CNFGNN
  Official PyTorch implementation of "Cross-Node Federated Graph Neural Network for Spatio-Temporal Modeling".
  ☆70Updated 4 years ago
• vanderschaarlab / DECAF
  DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
  ☆21Updated 7 months ago
• jsmjie / FedBase
  An easy, modularized, DIY Federated Learning framework with many baselines for individual researchers.
  ☆17Updated 2 years ago
• yuetan031 / FedStar
  [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
  ☆69Updated 3 years ago
• yzeng58 / Improving-Fairness-via-Federated-Learning
  ☆13Updated 3 years ago
• ckassaad / causal_discovery_for_time_series
  Causal discovery for time series
  ☆104Updated 3 years ago
• zkhku / fedsage
  Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)
  ☆83Updated 4 years ago
• Biwei-Huang / Causal-Discovery-from-Nonstationary-Heterogeneous-Data
  Causal Discovery from Nonstationary/Heterogeneous Data.
  ☆55Updated 5 years ago
• Chung-ju / Unitrans
  Paper: UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration
  ☆16Updated last year
• dual-grp / FedU_FMTL
  ☆17Updated 4 years ago
• usail-hkust / Awesome-Causality-Inspired-GNNs
  An awesome collection of causality-inspired graph neural networks.
  ☆99Updated last year
• yuetan031 / FedPCL
  [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
  ☆43Updated 2 years ago
• akhilmathurs / orchestra
  Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"
  ☆60Updated 2 years ago
• sattarov / FedTabDiff
  Implementation of the paper: "FedTabDiff: Federated Learning of Diffusion Models for Synthetic Mixed-Type Tabular Data Generation"
  ☆21Updated last year
• metastableB / kfed
  KFedExps -> kfed
  ☆14Updated 3 years ago
• baowenxuan / FedCollab
  [ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.
  ☆18Updated 2 years ago
• zhangzhao156 / Communication-efficient-federated-continual-learning
  Communication-efficient federated continual learning
  ☆19Updated 3 years ago
• illidanlab / FADE
  [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …
  ☆26Updated 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
  ☆42Updated 2 years ago
• CityU-AIM-Group / FedPD
  [ICCV' 23] FedPD: Federated Open Set Recognition with Parameter Disentanglement
  ☆11Updated last year
• thupchnsky / mufc
  A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)
  ☆22Updated 2 years ago