What is the FederatedScope Tool Assembly?
FederatedScope is an open-source federated learning platform developed by Alibaba Group. It features a modular, extensible, and event-driven architecture, supporting a broad range of FL applications, including computer vision, NLP, and graph learning. FederatedScope provides built-in privacy protection, attack simulation, and auto-tuning components, making it suitable for both research and industrial deployment.
What can you use the FederatedScope Tool Assembly for?
- Modular and extensible federated learning research
- Event-driven asynchronous and personalized FL
- Privacy protection and attack simulation
- Auto-tuning and hyperparameter optimization
Limitations/Remarks
- Learning curve for new users
- Ongoing development and optimization
Specific Use Cases/Applications
- Computer vision, NLP, and graph federated learning
- Personalized FL and multi-goal learning
- Privacy-preserving collaborative analytics
How to access the FederatedScope Tool Assembly?
- Official Documentation
- GitHub Repository
- Install via pip:
pip install federatedscope
References
- Xie, Y. et al. (2023). FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. VLDB. PDF
- FederatedScope Documentation
- FederatedScope GitHub
Original Framework Contributors
- Yuexiang Xie
- Zhen Wang
- Daoyuan Chen
- Yaliang Li
- Bolin Ding
- FederatedScope Community
For a full list, see the FederatedScope GitHub contributors.
More information
Training
Affiliations Contributors
Editor
KU Leuven / University of UHasselt