HashemAlsaket/MetisFL

MetisFL is a federated learning framework that allows developers to easily federate their machine learning workflows and train their models across distributed data without ever collecting the data in a centralized location. The core of the framework is written in C++ and focuses on scalability, speed and resiliency.

C++NOASSERTION