Framework of Distributed Learning in Vehicular Networks

This repository provides a comprehensive solution and codebase for the migration from centralized to federated learning. It demonstrates centralized training, its drawbacks, and how federated learning addresses these issues. It also serves as a tutorial to guide users through the transition process.

Multi agent reinforcement learning: PyTorch implementations of several algorithms for Multi Agent domains