Found by comparing what the projects do, not just their names.
Federated learning framework
Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions.
Federated Learning Framework
A flexible framework for distributed machine learning where participants train local models and collaboratively optimize them without sharing data
Federated optimizer
An optimization framework designed to address heterogeneity in federated learning across distributed networks
Federated Learning framework
An approach to heterogeneous federated learning allowing for model training on diverse devices with varying resources.
Federated learning library
An implementation of federated learning with prototype-based methods across heterogeneous clients
Federated learning framework
An implementation of Personalized Federated Learning with Moreau Envelopes and related algorithms using PyTorch for research and experimentation.
FL framework
A PyTorch-based framework for Federated Learning experiments
Federated Active Learning Framework
An implementation of federated active learning with a novel sampling strategy to improve performance on decentralized machine learning tasks
Federated Learning Framework
A framework that enables federated learning across multiple datasets while optimizing model performance with record similarities.
Federated Learning Framework
A framework for non-IID federated learning via neural propagation
Federated learning framework
An open-source repository implementing various federated learning algorithms with source code for multiple deep learning applications.
Federated Learning Framework
An open source federated learning framework designed to be secure, scalable and easy-to-use for enterprise environments
Federated Learning Framework
A framework for collaborative distributed machine learning in enterprise environments.
Federated Learning Framework
A framework for collaborative learning across multiple tasks and datasets in a distributed manner
Decentralized optimizer
A modular JAX implementation of federated learning via posterior averaging for decentralized optimization