FedGS

Similar projects

Found by comparing what the projects do, not just their names.

• mediabrain-sjtu/pfedgraph26

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• wyjeong/fedmatch80

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  A project implementing Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning

• dawenzi098/sfl-structural-federated-learning49

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  A Python implementation of Personalized Federated Learning with Graph using PyTorch.

• idanachituve/pfedgp32

  Federated Learning Library

  An implementation of Personalized Federated Learning with Gaussian Processes using Python.

• tsingz0/fedala116

  Fed learning library

  An implementation of a federated learning method for personalized models on non-iid datasets.

• yamingguo98/fediir10

  Federated Learner

  An implementation of a federated learning algorithm that generalizes to out-of-distribution scenarios using implicit invariant relationships

• harliwu/fedamd2

  Federated Learning Algorithm

  This project presents an approach to federated learning with partial client participation by optimizing anchor selection for improving model accuracy and convergence.

• yuetan031/fedproto134

  Federated learning library

  An implementation of federated learning with prototype-based methods across heterogeneous clients

• gaoliang13/feddc81

  Federated learner

  Federated learning algorithm that adapts to non-IID data by decoupling and correcting for local drift

• haozzh/fedcr19

  Federated Learning Framework

  Evaluates various methods for federated learning on different models and tasks.

• yuetan031/fedstar60

  Graph classifier

  This project implements a federated learning algorithm for non-IID graph classification tasks by leveraging structural knowledge sharing.

• lx10077/fedavgpy255

  Federated Learning Study

  The purpose of this project is to investigate the convergence of a federated learning algorithm on non-IID (non-identically and independently distributed) data.

• zackzikaixiao/fedgrab14

  Federated learner optimizer

  A tool for training federated learning models with adaptive gradient balancing to handle class imbalance in multi-client scenarios.

• omarfoq/fedem157

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  Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions.

• ignavierng/notears-admm10

  Federated learning algorithm

  An implementation of Bayesian network structure learning with continuous optimization for federated learning.