A python library to simulate Collaborative Deep Learning. It provides the flexibility to simulate various network architectures, Collaborative Learning Stratergies, and privacy invasion attacks.
1 maintainer
Release files for cl-simulator 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cl_simulator-0.0.1.tar.gz | 4.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cl_simulator-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.8 kB
Release files / cl_simulator-0.0.1.tar.gz
| Download URL | cl_simulator-0.0.1.tar.gz |
|---|---|
| Size | 4.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.6.9
|
Release files / cl_simulator-0.0.1-py3-none-any.whl
| Download URL | cl_simulator-0.0.1-py3-none-any.whl |
|---|---|
| Size | 5.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
2562772da70aa77f07f9cf2e42c568e757c37ef5ac4f8945a508035112d5f83c
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BLAKE2b-256 checksum How to use checksums |
cf4bfe44f4f987e8b66e04c2433aa5dddf185b49e6750534a55f793cf4e24adc
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.6.9
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