Found by comparing what the projects do, not just their names.
Personalized FL framework
A federated learning framework with personalized memorization using deep neural networks and k-nearest neighbors for collaborative learning of statistical models
Federated Learning Framework
A framework for collaborative distributed machine learning in enterprise environments.
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 flexible framework for distributed machine learning where participants train local models and collaboratively optimize them without sharing data
Federated Learning Framework
A framework that enables federated learning across multiple datasets while optimizing model performance with record similarities.
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 federated representation learning with domain awareness in multi-model scenarios.
Federated Learning framework
An approach to heterogeneous federated learning allowing for model training on diverse devices with varying resources.
Federated learning framework
An implementation of Personalized Federated Learning with Moreau Envelopes and related algorithms using PyTorch for research and experimentation.
Federated Learning Framework
Personalized Subgraph Federated Learning framework for distributed machine learning
Federated Learning Framework
An open source federated learning framework designed to be secure, scalable and easy-to-use for enterprise environments
Federated Learning Framework
An implementation of a heterogenous federated learning framework using model distillation.
Federated learning analysis
An open-source project exploring Federated Learning model updates and their rank structure using data from various datasets.
Federated Learning Framework
Evaluates various methods for federated learning on different models and tasks.
Federated Learning
This 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.