FATE-Test
Federated testing framework
A collection of tools and tests for evaluating the performance of federated machine learning systems
1 stars
14 watching
1 forks
Language: Python
last commit: 6 days ago autotesting
Related projects:
Repository | Description | Stars |
---|---|---|
federatedai/fate-client | Provides tools and APIs for designing, scheduling, and running federated machine learning jobs in a secure and efficient manner. | 3 |
federatedai/fate-serving | A high-performance serving system for federated learning models, providing support for online algorithms, real-time inference, and model management. | 139 |
federatedai/fate-community | Documentation repository for a community-driven project focused on federated AI technology development and governance. | 25 |
federatedai/fate-flow | An end-to-end federated learning workflow platform for managing data and models across multiple parties | 52 |
federatedai/fate-board | A visualization tool for federated learning modeling to monitor and improve models | 100 |
federatedai/fate | An industrial-grade framework for collaborative machine learning on private data while maintaining security and privacy | 5,723 |
qi-pang/federated-correlation-test | An evaluation framework for federated correlation tests and entropy estimation in various domains | 8 |
federatedai/fate-llm | A framework for collaborative training of large language models in a privacy-preserving manner | 160 |
haozzh/fedcr | Evaluates various methods for federated learning on different models and tasks. | 17 |
federatedai/eggroll | A framework for distributed machine learning | 244 |
cuis15/fcfl | An implementation of Fair and Consistent Federated Learning using Python. | 20 |
omarfoq/fedem | Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. | 154 |
fangxiuwen/robust_fl | An implementation of a robust federated learning framework for handling noisy and heterogeneous clients in machine learning. | 41 |
litian96/ditto | A framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems. | 137 |
marvinjwendt/testza | A comprehensive testing framework for Go, providing features for assertions, fuzzing, output capture, and more. | 418 |