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.

Framework of Distributed Learning in Vehicular Networks

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

Legacy code from PettingZoo environment. Centralized learning, de-centralized execution.