Found by comparing what the projects do, not just their names.
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
A framework for collaborative distributed machine learning in enterprise environments.
Federated Learning Framework
An implementation of a heterogenous federated learning framework using model distillation.
Federated Learning Framework
A framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems.
Federated Learning Framework
A framework for tackling heterogeneity and catastrophic forgetting in federated learning by leveraging cross-correlation and similarity learning
Federated Learning Framework
Develops a framework to balance competing goals in federated learning by decoupling generic and personalized prediction tasks.
Continual Learning Framework
An implementation of a Continual Federated Learning algorithm using Generative Replay to adapt models to new data distributions.
Federated learning framework
An open-source repository implementing various federated learning algorithms with source code for multiple deep learning applications.
Clustered Federated Learning Framework
A framework for decentralized collaborative learning across multiple clusters with efficient communication and data management strategies.
Federated Learning Framework
Develops a framework to address label skews in one-shot federated learning by partitioning data and adapting models.
Federated Learning Framework
A framework for federated representation learning with domain awareness in multi-model scenarios.
Federated learner
Federated learning algorithm that adapts to non-IID data by decoupling and correcting for local drift
Federated Learning Framework
Develops an alignment framework for federated learning with non-identical client class sets
Federated Learning Library
An implementation of federated learning with sparse training and readjustment mechanisms to reduce communication overhead while maintaining model performance.
Federated learning framework
An implementation of Fair and Consistent Federated Learning using Python.