• We have provided clear documentation for setting up and using FedDebug for anyone. Not only is the code functional, but we have also made extra efforts to make the results of FedDebug easily reproducible online.

• Although the local setup is completely functional (details are provided in INSTALL.md), we generalize FedDebug and make it available for anyone running it on Google-Colab with Jupyter Notebooks to assist users who do not have access to a GPU for the facilitation of reuse and re-purposing.

• We provide a FedDebug fault localization technique in a separate package so that users can use it with any other Federated Learning library with its benchmarks. Furthermore, we provide Docker support to quickly interact with FedDebug Debugging constructs in no time.

• Complete documentation, including readme.md and code comments, is available for reference.

• The artifact.ipynb notebook provides a single interface for testing and reproducing the results discussed in the FedDebug paper for verification and validation purposes.

All of our artifacts can be found at https://github.com/SEED-VT/FedDebug.

We have made every effort to ensure that FedDebug is both functional and reusable for all users. As the first open-source debugger for federated learning applications with fault localization capabilities, we believe that FedDebug will open up new possibilities for debugging and testing in FL in the future.