This repository hosts examples, how-tos and tutorials for FEDn and STACKn.
NOTE: The MNIST Keras and PyTorch quickstart examples have been moved to the main FEDn repository.
- mnist-cpp: PyTorch C++ version of the MNIST example. Supports execution in Intel SGX TEE via Gramine.
- imdb-keras: FEDn sentiment analysis, IMDB dataset (cross-silo example in this paper).
- Casa-IoT-keras: Human activity recognition, Casa dataset (cross-device case study in this paper).
- how-tos: Various tips-and tricks when using FEDn and STACKn.
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