Found by comparing what the projects do, not just their names.
Federated Learning Library
An implementation of efficient federated learning algorithms for heterogeneous clients
Federated Learning Framework
A framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems.
Federated learning framework
Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions.
FL framework
Enables the training and validation of machine learning models on distributed datasets in a secure and scalable manner.
Federated Learning Framework
A framework for collaborative distributed machine learning in enterprise environments.
Federated Learning framework
An approach to heterogeneous federated learning allowing for model training on diverse devices with varying resources.
Federated learning method
A method for personalizing machine learning models in federated learning settings with adaptive differential privacy to improve performance and robustness
Federated Learning Framework
An implementation of a personalized federated learning framework with decentralized sparse training and peer-to-peer communication protocol.
Federated Learning Framework
Develops an alignment framework for federated learning with non-identical client class sets
Federated Learning Approach
This project presents an approach to federated learning that leverages unsupervised techniques to adapt models to unlabeled data without requiring labels.
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 library
An implementation of federated learning with prototype-based methods across heterogeneous clients
Federated Learning system
An implementation of Fast Federated Learning under device unavailability for minimizing latency and achieving optimal convergence rates
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.