Federated-Learning

modules, conda, pip and such

1. remove  conda environment:
    conda remove --name federated-learning --all
2. create new conda environment:
    conda create --name federated-learning python=3.7
    conda activate federated-learning
3. conda install -c intel mkl_fft
4. conda install -c intel mkl_random
5. NB: -c = channel, can be : default, intel, conda-forge, bioconda
6. pip install -r requirements.txt
requirements.txt:
#certifi==2018.8.24
cffi==1.11.5
Click==7.0
Flask==1.0.2
gunicorn==19.9.0
itsdangerous==1.1.0
Jinja2==2.10.1
kafka-python==1.4.6
lagrange==0.1.0.0
MarkupSafe==1.1.1
#mkl-fft==1.0.6
#mkl-random==1.0.1
#module==0.2.1
#numpy==1.16.2
olefile==0.46
paho-mqtt==1.4.0
pandas==0.24.2
Pillow==6.0.0
pycparser==2.19
python-dateutil==2.8.0
pytz==2019.1
scikit-learn==0.20.3
scipy==1.2.1
shamir==17.12.0
shamirs==0.1.0.0
simplejson==3.16.0
#six==1.11.0
torch==1.0.1.post2
torchvision==0.2.2.post3
Werkzeug==0.15.4