federated-minimax
by xjiajiahao
AI summary
Decentralized ML framework
A framework for developing and testing decentralized machine learning algorithms
- stars
- 2
- forks
- 1
- watching
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Decentralized ML library
An implementation of algorithms for decentralized machine learning in heterogeneous federated learning settings.
Optimization framework
This project presents optimization techniques for federated learning and minimax games in the context of machine learning
Federated learning framework
Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions.
Federated ML framework
An implementation of federated multi-task learning with laplacian regularization across various datasets
Federated Learning system
An implementation of Fast Federated Learning under device unavailability for minimizing latency and achieving optimal convergence rates
Federated Learning Framework
A framework that enables federated learning across multiple datasets while optimizing model performance with record similarities.
Federated Learning Framework
Personalized Subgraph Federated Learning framework for distributed machine learning
FL framework
Enables the training and validation of machine learning models on distributed datasets in a secure and scalable manner.
Federated Learning Framework
Develops a framework to address label skews in one-shot federated learning by partitioning data and adapting models.
Decentralized optimizer
A modular JAX implementation of federated learning via posterior averaging for decentralized optimization
Federated Learning Framework
A framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems.
Federated Learning Framework
An implementation of a federated learning framework for handling data heterogeneity in decentralized settings
Federated learner
Implementation of federated learning algorithms for distributed machine learning on private client data
Federated Learning Framework
A project that proposes a novel federated learning approach to address the issue of incomplete information in personalized machine learning models
Federated Learning Framework
An implementation of a heterogenous federated learning framework using model distillation.