Found by comparing what the projects do, not just their names.
Personalized FL method
An implementation of a personalized Federated Learning approach with adaptive sparse model adaptation.
Federated learning framework
An implementation of Personalized Federated Learning with Moreau Envelopes and related algorithms using PyTorch for research and experimentation.
Federated Learning Framework
A framework for federated learning with partial model personalization
Federated learning model
A Python implementation of Personalized Federated Learning with Graph using PyTorch.
Federated learning method
A method for personalizing machine learning models in federated learning settings with adaptive differential privacy to improve performance and robustness
Personalized FL framework
A framework for personalized federated learning that creates dynamic models for each input instance and improves generalizability of global models.
Feature separator
A framework that separates feature information from data in federated learning to enable personalized models.
FL framework
A PyTorch-based framework for Federated Learning experiments
Personalized Fed Learning Model
An implementation of personalized federated learning using variational Bayesian inference on the MNIST dataset
Personalized FL framework
A federated learning framework with personalized memorization using deep neural networks and k-nearest neighbors for collaborative learning of statistical models
Personalized Learning Model Trainer
This project enables personalized learning models by collaborating on learning the best strategy for each client
Federated learning optimization
An approach to efficient federated learning by progressively training models on client devices with reduced communication and computation requirements.
Federated Learning Library
An implementation of Personalized Federated Learning with Gaussian Processes using Python.
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
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.