An Efficient Blockchain assisted Reputation aware Decentralized Federated Learning Framework

If Docker installed
- docker-compose up -d
- open host_ip:42065 for opening jupyter notebook
- open host_ip:45175 for opening tensorboard
- run centralized notebook for simulating the centralized fl
If Conda enviroment
- conda env create --name env_name --file=cenv.yml
  - it will also add this conda env in your base jupyter notebook, look for reference
- conda activate env_name
- open host_ip:port for opening jupyter notebook
  - jupyter notebook --no-browser --ip="*" --port=xxxx --NotebookApp.token='xx' --NotebookApp.iopub_data_rate_limit=1.0e1000
- tensorboard --logdir runs/ --port 45175 --bind_all
- open host_ip:45175 for opening tensorboard
If running with kafka
- host kafka broker and other essential components with docker
- before running update the host ip in the broker service, and also update the same in producer and consumer files
- good to run this file for simulation

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Backdoor Trigger analysis		Backdoor Trigger analysis
Backdoor attack (Fashion MNIST) plus trigger		Backdoor attack (Fashion MNIST) plus trigger
Backdoor attack (MNIST) pattern trigger		Backdoor attack (MNIST) pattern trigger
Backdoor attack (MNIST) plus trigger		Backdoor attack (MNIST) plus trigger
Distribued Attack Objective		Distribued Attack Objective
Existing defenses		Existing defenses
Hybrid attack		Hybrid attack
Label flip attack (Fashion MNIST)		Label flip attack (Fashion MNIST)
Label flip attack (MNIST)		Label flip attack (MNIST)
Non IID		Non IID
Threshold variation		Threshold variation
kafka		kafka
libs		libs
.DS_Store		.DS_Store
README.md		README.md
cenv.yml		cenv.yml
docker-compose.yml		docker-compose.yml
moat.py		moat.py

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