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FedHF is a Python-based simulator for flexible, heterogeneous, and asynchronous federated learning research. It provides configurable resource models, supports asynchronous protocols, and accelerates experimentation.
Features
- Loose coupling of client/server for FL simulations
- Supports asynchronous federated protocols
- Models heterogeneous device/resource performance
- Configurable via Python APIs
- Accelerates prototyping of FL algorithms
- Apache‑2.0 licensed with documentation
Project Samples
Categories
Federated Learning FrameworksLicense
Apache License V2.0Follow Fedhf
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