SymbioticLab/FedScale
A scalable open-source federated learning engine and benchmark for training ML models across distributed edge devices.
Not currently ranked — collecting fresh signals.
star history
FedScale provides high-level APIs to implement federated learning algorithms and deploy them at scale across diverse hardware and software backends. It includes the largest FL benchmark with tasks spanning image classification, object detection, language modeling, and speech recognition. The platform also provides datasets to faithfully emulate realistic FL training environments.
Frequently asked
- What is SymbioticLab/FedScale?
- A scalable open-source federated learning engine and benchmark for training ML models across distributed edge devices.
- Is FedScale open source?
- Yes — SymbioticLab/FedScale is open source, released under the Apache-2.0 license.
- What language is FedScale written in?
- SymbioticLab/FedScale is primarily written in Python.
- How popular is FedScale?
- SymbioticLab/FedScale has 419 stars on GitHub.
- Where can I find FedScale?
- SymbioticLab/FedScale is on GitHub at https://github.com/SymbioticLab/FedScale.