fedlearner
Collab ML framework
An open source framework for collaborative machine learning with data distributed across multiple institutions.
A multi-party collaborative machine learning framework
892 stars
28 watching
172 forks
Language: Python
last commit: 5 months ago
Linked from 2 awesome lists
ethicalml/awesome-production-machine-learning
innovation-cat/awesome-federated-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
| bytedance/feddecorr | Provides an implementation of various heterogeneous federated learning methods and datasets to mitigate dimensional collapse in distributed machine learning | 63 |
 xjiajiahao/federated-minimax | A framework for developing and testing decentralized machine learning algorithms | 2 |
 microsoft/0xdeca10b | A framework for hosting and training machine learning models on a blockchain, enabling secure sharing and prediction without requiring users to pay for data or model updates. | 556 |
 gingsmith/fmtl | A framework for collaborative learning across multiple tasks and datasets in a distributed manner | 129 |
 wenkehuang/fccl | A framework for tackling heterogeneity and catastrophic forgetting in federated learning by leveraging cross-correlation and similarity learning | 97 |
 samsung/veles | A distributed machine learning platform for rapid Deep learning application development | 906 |
 lxcnju/fedrepo | An open-source repository implementing various federated learning algorithms with source code for multiple deep learning applications. | 174 |
 somnibyte/mlkit | A framework for implementing machine learning algorithms in Swift to make it easier for developers to incorporate ML into their projects. | 152 |
 sethjuarez/numl | Provides a set of reusable C# components for building machine learning models in .NET | 430 |
 omarfoq/fedem | Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. | 154 |
 cdipaolo/goml | A Go library that provides an online machine learning framework with various algorithms and models | 1,568 |
 federatedai/fate-llm | A framework for collaborative training of large language models in a privacy-preserving manner | 160 |
 litian96/ditto | A framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems. | 137 |
 dual-grp/fedu_fmtl | An implementation of federated multi-task learning with laplacian regularization across various datasets | 16 |
 ibm/federated-learning-lib | A framework for collaborative distributed machine learning in enterprise environments. | 499 |