alibaba/FederatedScope
A federated learning platform enabling collaborative ML training across decentralized data sources without sharing raw data.
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FederatedScope is a comprehensive federated learning platform built on PyTorch, designed for training machine learning models across distributed datasets while preserving data privacy. It uses an event-driven architecture and integrates rich functionalities for various federated learning tasks in both academia and industry. The platform provides convenient usage and flexible customization for researchers and practitioners working on privacy-preserving machine learning.
Frequently asked
- What is alibaba/FederatedScope?
- A federated learning platform enabling collaborative ML training across decentralized data sources without sharing raw data.
- Is FederatedScope open source?
- Yes — alibaba/FederatedScope is open source, released under the Apache-2.0 license.
- What language is FederatedScope written in?
- alibaba/FederatedScope is primarily written in Python.
- How popular is FederatedScope?
- alibaba/FederatedScope has 1.5k stars on GitHub.
- Where can I find FederatedScope?
- alibaba/FederatedScope is on GitHub at https://github.com/alibaba/FederatedScope.