Found by comparing what the projects do, not just their names.
Federated learning model
A Python implementation of Personalized Federated Learning with Graph using PyTorch.
Federated learning framework
An implementation of Fair and Consistent Federated Learning using Python.
Federated learning method
A method for personalizing machine learning models in federated learning settings with adaptive differential privacy to improve performance and robustness
Continual Learning Framework
An implementation of a Continual Federated Learning algorithm using Generative Replay to adapt models to new data distributions.
Federated Learning
Enabling multiple agents to learn from heterogeneous environments without sharing their knowledge or data
Federated Learning Framework
A framework for tackling heterogeneity and catastrophic forgetting in federated learning by leveraging cross-correlation and similarity learning
Federated learning framework
An implementation of Personalized Federated Learning with Moreau Envelopes and related algorithms using PyTorch for research and experimentation.
Federated learning platform
A decentralized federated learning framework based on blockchain and PyTorch.
Federated Learning Engine
An implementation of cross-silo federated learning with adaptability to statistical heterogeneity
Federated Learning Method
An implementation of a domain generalization method for federated learning using Python and PyTorch
Federated Learning framework
An implementation of heterogeneous federated learning with parallel edge and server computation
Federated learner
An implementation of federated learning algorithm for image classification
Federated learner
An implementation of a federated learning algorithm for handling heterogeneous data
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
Evaluates various methods for federated learning on different models and tasks.