baobaochai

FedDM

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

Incentive-Aware-FL

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

SPACE

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

shapfed

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

ctfl

Contribution Tracing for Federated Learning (CTFL)

FedLP

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.

easyFL

An experimental platform for federated learning.

fedgcr

FairTrade

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

FairTrade

FedHEAL

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

FairRoP

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

FedCBO

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

SLT

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

FADE

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

F2GNN

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

PFSL

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

SplitFed-When-Federated-Learning-Meets-Split-Learning

Releasing the source code Version1.

FedLF

FedHGN

FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks

Capsule

code for paper

F2GNN

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

RethinkFL

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

FedTGP

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

GPFL

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

FairGraphFL

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

fedcome

codes for fedcome2022

federated_feature_fusion

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

FedProto

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