FedGraB

Federated learner optimizer

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

GitHub

14 stars
2 watching
1 forks
Language: Python
last commit: over 2 years ago

Related projects:

RepositoryDescriptionStars
litian96/fedproxAn optimization framework designed to address heterogeneity in federated learning across distributed networks655
dos-group/fedzeroAn implementation of federated learning optimized for training on renewable energy sources and spare compute capacity to minimize carbon emissions.19
yamingguo98/fediirAn implementation of a federated learning algorithm that generalizes to out-of-distribution scenarios using implicit invariant relationships10
zfancy/sfatCombating heterogeneity in federated learning by combining adversarial training with client-wise slack during aggregation28
optimization-ai/icml2023_fedxlAn implementation of a federated learning algorithm for optimization problems with compositional pairwise risk optimization.2
illidanlab/splitmixAn algorithm for distributed learning with flexible model customization during training and testing40
hongliny/fedac-neurips20Provides code for a federated learning algorithm to optimize machine learning models in a distributed setting.14
divyansh03/fedexpAn implementation of a federated averaging algorithm with an extrapolation approach to speed up distributed machine learning training on client-held data.9
pengyang7881187/fedrlEnabling multiple agents to learn from heterogeneous environments without sharing their knowledge or data56
yuetan031/fedprotoAn implementation of federated learning with prototype-based methods across heterogeneous clients134
mediabrain-sjtu/feddiscoA federated learning framework with discrepancy-aware collaboration for decentralized data training68
mingruiliu-ml-lab/episodeAn algorithm for Federated Learning with heterogeneous data, designed to optimize deep neural networks and improve performance2
debcaldarola/fedsamImproving generalization in federated learning by seeking flat minima through optimization techniques82
mc-nya/fednestAn implementation of a federated optimization algorithm for distributed machine learning6
mediabrain-sjtu/pfedgraphThis 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.26