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Consensus DL.

Steps:

  1. Peersim -> Generate graph

  2. Flask server -> Data processing, Models, Gossip

The peersim configs should be present in config folder and the datasets in data folder in the base directory.

Then the flask server that hosts the models can be run as follows:

cd scripts
export FLASK_APP=flask_server.py
python -m flask run

In a separate terminal the peersim jar can be run as follows:

python run_jar.py

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Consesus based Deep Learning algorithm

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