baobaochai

baobaochai's Stars

• WwZzz/easyFL

  An experimental platform for federated learning.

  Language:Jupyter Notebook577144295

• chandra2thapa/SplitFed-When-Federated-Learning-Meets-Split-Learning

  Releasing the source code Version1.

  Language:Python1362637

• yuetan031/FedProto

  [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients

  Language:Python1341534

• WenkeHuang/RethinkFL

  CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View

  Language:Python941413

• TsingZ0/FedTGP

  AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning

  Language:Python39244

• illidanlab/FADE

  [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective without adversarial or source data.

  Language:Python26212

• XinyiYS/Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning

  Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurIPS'21.

  Language:Python22216

• TsingZ0/GPFL

  ICCV 2023 accepted paper, GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning

  Language:Python19271

• Zhuzzq/FedLP

  Language:Python17100

• cynricfu/FedHGN

  FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks

  Language:Python16203

• yuhangchen0/FedHEAL

  CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity

  Language:Python16113

• CityU-AIM-Group/FedDM

  [TMI' 23] FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-conflicting

  Language:Python12202

• k1l1/SLT

  Paper: "Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices"

  Language:Python12100

• zibinpan/FedLF

  Language:Python12132

• Chenglu0426/FairGraphFL

  The official code for the paper 'Towards Fair Graph Federated Learning via Incentive Mechanisms'

  Language:Python10101

• tnurbek/shapfed

  [IJCAI 2024] Redefining Contributions: Shapley-Driven Federated Learning

  Language:Python10101

• SixuLi/FedCBO

  This repo provide code for paper "FedCBO: Reaching Consensus in Clustered Federated Learning through Consensus-based Optimization".

  Language:Python8100

• mnswdhw/PFSL

  Repository implementing the lightweight split learning framework enabling edge devices to collaboratively train machine learning models with Data & Label Privacy.

  Language:Python7112

• culiver/SPACE

  SPACE: Single-round Participant Amalgamation for Contribution Evaluation in Federated Learning

  Language:Python6103

• ZhaoxuanWu/Incentive-Aware-FL

  A novel algorithm that distributes training-time model rewards to incentivize client contributions for federated learning. (ICLR-2024)

  Language:Python5101

• celinezheng/fedgcr

  Language:Python4110

• badarm/FairTrade

  Language:Python31

• matenure/federated_feature_fusion

  Merging Models Pre-Trained on Different Features with Consensus Graphs - UAI2023

  Language:Python3101

• yuening-lab/F2GNN

  Code for ICDM 2023 paper: "Equipping Federated Graph Neural Networks with Structure-aware Group Fairness".

  Language:Python3001

• judge-x/FairRoP

  FairRoP:A fairness-aware federated client selection scheme with robust guarantee

  Language:Python20

• L3S/FairTrade

  FairTrade: Achieving Pareto-Optimal Trade-offs Between Balanced Accuracy and Fairness in Federated Learning

  Language:Python2100

• nancui0000/F2GNN

  Code for ICDM 2023 paper: "Equipping Federated Graph Neural Networks with Structure-aware Group Fairness".

  Language:Python2203

• fedcome/fedcome

  codes for fedcome2022

  Language:Python110

• knifelee/ctfl

  Contribution Tracing for Federated Learning (CTFL)

  Language:Python1

• littlefishe/Capsule

  code for paper

  Language:Python1100