This repository contains an example implementation of the FLock model for credit card fraud detection. The FLock model is a crucial component for clients within the FLock ecosystem seeking to leverage the power of federated learning. By providing a foundational framework, these models are instrumental in generating bounty tasks on the FLock testnet. This, in turn, enables participants to engage in collaborative efforts to fine-tune and enhance the models, fostering innovation and improvement within the federated learning domain.
Tutorial link:
To use the FLock model examples, you will need to have . You can install the necessary components by following these steps:
Install the required packages:
pip install -r requirements.txt
./uploadimage.sh