FATE-Client
Federated Learning Toolkit
Provides tools and APIs for designing, scheduling, and running federated machine learning jobs in a secure and efficient manner.
3 stars
14 watching
4 forks
Language: Python
last commit: about 2 years agopipeline
Related projects:
| Repository | Description | Stars |
|---|---|---|
| federatedai/fate-flow | An end-to-end federated learning workflow platform for managing data and models across multiple parties | 53 |
| federatedai/fate-serving | A high-performance serving system for federated learning models, providing support for online algorithms, real-time inference, and model management. | 138 |
| federatedai/fate-test | A collection of tools and tests for evaluating the performance of federated machine learning systems | 1 |
| federatedai/fate-board | A visualization tool for federated learning modeling to monitor and improve models | 101 |
 yuetan031/fedproto | An implementation of federated learning with prototype-based methods across heterogeneous clients | 134 |
 omarfoq/fedem | Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. | 157 |
 codepothunter/fednp | A framework for non-IID federated learning via neural propagation | 6 |
 ibm/federated-learning-lib | A framework for collaborative distributed machine learning in enterprise environments. | 500 |
 haozzh/fedcr | Evaluates various methods for federated learning on different models and tasks. | 19 |
 alibaba/federatedscope | A comprehensive platform for federated learning, providing an event-driven architecture and flexible customization for various tasks in academia and industry. | 1,335 |
| federatedai/eggroll | A framework for distributed machine learning | 242 |
 chandra2thapa/splitfed-when-federated-learning-meets-split-learning | An implementation of federated learning and split learning techniques with PyTorch on the HAM10000 dataset | 134 |
 dawenzi098/sfl-structural-federated-learning | A Python implementation of Personalized Federated Learning with Graph using PyTorch. | 49 |
 mediabrain-sjtu/fedgela | This project enables federated learning across partially class-disjoint data with curated bilateral curation. | 11 |
 symbioticlab/fedscale | A federated learning platform with tools and datasets for scalable and extensible machine learning experimentation | 390 |