FedDC
by gaoliang13
An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"
AI summary
Federated learner
Federated learning algorithm that adapts to non-IID data by decoupling and correcting for local drift
- stars
- 81
- forks
- 14
- watching
- 2
Similar projects
Found by comparing what the projects do, not just their names.
Federated Learning Framework
Develops an alignment framework for federated learning with non-identical client class sets
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.
Federated Learner
An implementation of a federated learning algorithm that generalizes to out-of-distribution scenarios using implicit invariant relationships
Federated learner
Provides code for a federated learning algorithm to optimize machine learning models in a distributed setting.
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.
Federated Learning Algorithm
An implementation of federated learning algorithm to reduce local learning bias and improve convergence on heterogeneous data
Federated Learning
This project enables personalized federated learning with inferred collaboration graphs to improve the performance of machine learning models on non-IID (non-independent and identically distributed) datasets.
Federated Learning Algorithm
An unsupervised federated learning algorithm that uses cross knowledge distillation to learn meaningful data representations from local and global levels.
federated learning optimizers
An implementation of algorithms for nonconvex federated learning optimization
Federated learning algorithm
An implementation of Bayesian network structure learning with continuous optimization for federated learning.
Federated Learning Algorithms
Implementation of various federated learning algorithms to mitigate dimensional collapse in heterogeneous federated learning environments
Federated Learning Experiment
An experiment comparing different federated learning approaches for image classification tasks with non-iid datasets.
Federated Learning Framework
An implementation of a federated learning framework for handling data heterogeneity in decentralized settings
Federated learner
An implementation of a federated learning algorithm for handling heterogeneous data
Graph classifier
This project implements a federated learning algorithm for non-IID graph classification tasks by leveraging structural knowledge sharing.