FedHF
FedHF is a loosely coupled, Heterogeneous resource supported, and Flexible federated learning framework.
Accelerate your research
Features
- Losely coupled
- Heterogeneous resource supported
- Flexible federated learning framework
- Support for asynchronous aggregation
- Support for multiple federated learning algorithms
Algorithms Supported
Synchronous Aggregation
- [FedAvg] Communication-Efficient Learning of Deep Networks from Decentralized Data(AISTAT) [paper]
Asynchronous Aggregation
- [FedAsync] Asynchronous Federated Optimization(OPT2020) [paper]
Tiered Aggregation
- [TiFL] TiFL: A Tier-based Federated Learning System (HPDC 2020) [paper]
Getting Start
pip install fedhf
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You can see the Document for more details.
Contributing
For more information, please see the Contributing page.
Citation
In progress
Licence
This work is provided under Apache License Version 2.0.
Acknowledgement
1 maintainer
Metadata
1 maintainer
Release files for fedhf 0.3.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| fedhf-0.3.0.tar.gz | 35.9 kB | Without provenance | Details for fedhf-0.3.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| fedhf-0.3.0-py3-none-any.whl | Python 3 | none | any | Details for fedhf-0.3.0-py3-none-any.whl |
Total release size: 107.0 kB
Release files / fedhf-0.3.0.tar.gz
| Download URL | fedhf-0.3.0.tar.gz |
|---|---|
| Size | 35.9 kB |
| Tags | Source |
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No |
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twine/4.0.1 CPython/3.9.13
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Release files / fedhf-0.3.0-py3-none-any.whl
| Download URL | fedhf-0.3.0-py3-none-any.whl |
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| Size | 71.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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No |
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twine/4.0.1 CPython/3.9.13
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