FedDR

Similar projects

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

• mc-nya/fednest6

  Federated Optimizer

  An implementation of a federated optimization algorithm for distributed machine learning

• optimization-ai/icml2023_fedxl2

  Federated learner

  An implementation of a federated learning algorithm for optimization problems with compositional pairwise risk optimization.

• gaoliang13/feddc81

  Federated learner

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

• ljb121002/fednar6

  FedOpt Algorithm

  A Python implementation of federated optimization algorithm with normalized annealing regularization.

• debcaldarola/fedsam82

  Flat minimization optimizer

  Improving generalization in federated learning by seeking flat minima through optimization techniques

• hongliny/fedac-neurips2014

  Federated learner

  Provides code for a federated learning algorithm to optimize machine learning models in a distributed setting.

• divyansh03/fedexp9

  Federated Averaging Optimizer

  An implementation of a federated averaging algorithm with an extrapolation approach to speed up distributed machine learning training on client-held data.

• xidongwu/federated-minimax-and-conditional-stochastic-optimization1

  Optimization framework

  This project presents optimization techniques for federated learning and minimax games in the context of machine learning

• 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.

• lyn1874/fedpvr6

  Federated learner

  An implementation of a federated learning algorithm for handling heterogeneous data

• hui-po-wang/progfed20

  Federated learning optimization

  An approach to efficient federated learning by progressively training models on client devices with reduced communication and computation requirements.

• 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.

• litian96/fedprox655

  Federated optimizer

  An optimization framework designed to address heterogeneity in federated learning across distributed networks

• alshedivat/fedpa50

  Decentralized optimizer

  A modular JAX implementation of federated learning via posterior averaging for decentralized optimization

• lins-lab/fedbr25

  Federated Learning Algorithm

  An implementation of federated learning algorithm to reduce local learning bias and improve convergence on heterogeneous data