federated-learning-lib
Federated Learning Framework
A framework for collaborative distributed machine learning in enterprise environments.
A library for federated learning (a distributed machine learning process) in an enterprise environment.
500 stars
30 watching
137 forks
Language: Python
last commit: over 1 year ago Related projects:
Repository | Description | Stars |
---|---|---|
| Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. | 157 |
| An open source federated learning framework designed to be secure, scalable and easy-to-use for enterprise environments | 145 |
| A framework for collaborative learning across multiple tasks and datasets in a distributed manner | 130 |
| A framework for non-IID federated learning via neural propagation | 6 |
| A framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems. | 138 |
| An implementation of Fair and Consistent Federated Learning using Python. | 20 |
| A framework for decentralized collaborative learning across multiple clusters with efficient communication and data management strategies. | 106 |
| A flexible framework for distributed machine learning where participants train local models and collaboratively optimize them without sharing data | 743 |
| A framework that enables federated learning across multiple datasets while optimizing model performance with record similarities. | 25 |
| A project that proposes a novel federated learning approach to address the issue of incomplete information in personalized machine learning models | 9 |
| Implementation of various federated learning algorithms to mitigate dimensional collapse in heterogeneous federated learning environments | 64 |
| An implementation of a heterogenous federated learning framework using model distillation. | 150 |
| A framework for federated learning that leverages the neural tangent kernel to address statistical heterogeneity in distributed machine learning. | 3 |
| An open-source repository implementing various federated learning algorithms with source code for multiple deep learning applications. | 175 |
| Develops a framework to address label skews in one-shot federated learning by partitioning data and adapting models. | 17 |