FedSim
Federated Learning Framework
A framework that enables federated learning across multiple datasets while optimizing model performance with record similarities.
A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)
25 stars
3 watching
5 forks
Language: Python
last commit: over 3 years agofederated-learningpytorchvertical-federated-learning
Related projects:
| Repository | Description | Stars |
|---|---|---|
| xtra-computing/fedov | Develops a framework to address label skews in one-shot federated learning by partitioning data and adapting models. | 17 |
| xtra-computing/fedtree | A system for distributed machine learning using tree-based models with secure aggregation and differential privacy features. | 144 |
| xtra-computing/simfl | A C++ implementation of a federated learning algorithm for decision trees, enabling multiple parties to jointly learn from their private data without sharing it. | 18 |
 ibm/federated-learning-lib | A framework for collaborative distributed machine learning in enterprise environments. | 500 |
 charliedinh/pfedme | An implementation of Personalized Federated Learning with Moreau Envelopes and related algorithms using PyTorch for research and experimentation. | 291 |
 omarfoq/fedem | Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. | 157 |
 scaleoutsystems/fedn | An open source federated learning framework designed to be secure, scalable and easy-to-use for enterprise environments | 145 |
 smilelab-fl/fedlab | A flexible framework for distributed machine learning where participants train local models and collaboratively optimize them without sharing data | 743 |
 lxcnju/fedrepo | An open-source repository implementing various federated learning algorithms with source code for multiple deep learning applications. | 175 |
 raymin0223/logo | An implementation of federated active learning with a novel sampling strategy to improve performance on decentralized machine learning tasks | 31 |
 dawenzi098/sfl-structural-federated-learning | A Python implementation of Personalized Federated Learning with Graph using PyTorch. | 49 |
 diogenes0319/fedmd_clean | An implementation of a heterogenous federated learning framework using model distillation. | 150 |
 substra/substra | Enables the training and validation of machine learning models on distributed datasets in a secure and scalable manner. | 274 |
 desternylin/perfed | An implementation of various federated learning algorithms with a focus on communication efficiency, robustness, and fairness. | 15 |
 chandra2thapa/splitfed-when-federated-learning-meets-split-learning | An implementation of federated learning and split learning techniques with PyTorch on the HAM10000 dataset | 134 |