ErdunGAO / FedDAGLinks
[TMLR23] FedDAG: Federated DAG Structure Learning
☆17Updated 2 years ago
Alternatives and similar repositories for FedDAG
Users that are interested in FedDAG are comparing it to the libraries listed below
Sorting:
- An easy, modularized, DIY Federated Learning framework with many baselines for individual researchers.☆16Updated 2 years ago
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆44Updated 2 years ago
- IJCAI-Personalized Federated Learning with Graph☆53Updated 2 years ago
- ☆11Updated 3 years ago
- ☆12Updated last year
- Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]☆57Updated 3 years ago
- [ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.☆18Updated 2 years ago
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆66Updated 2 years ago
- DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks☆21Updated last month
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆80Updated 3 years ago
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆58Updated 2 years ago
- Paper: UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration☆14Updated 7 months ago
- KFedExps -> kfed☆14Updated 3 years ago
- ifedtree: tree-based federated learning for heterogeneous model harmonization (ICML 2022)☆13Updated 2 years ago
- ☆13Updated 2 years ago
- ☆17Updated 4 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆39Updated 2 years ago
- Code Repository for SCM-VAE (IEEE Big Data)☆10Updated 2 years ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆41Updated 2 years ago
- ☆22Updated 3 years ago
- (SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)☆31Updated last year
- ☆40Updated last year
- Code for paper: NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge☆27Updated 2 years ago
- A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)☆21Updated last year
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆27Updated 2 years ago
- Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning, WWW 2023☆25Updated 2 years ago
- Implementation of the paper: "FedTabDiff: Federated Learning of Diffusion Models for Synthetic Mixed-Type Tabular Data Generation"☆20Updated 9 months ago
- This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer☆110Updated 4 years ago
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆54Updated 2 years ago
- SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.☆47Updated 2 years ago