This project implements a **Sockets** based distributed algorithm for communication between nodes. The code is designed to be containerised using Docker. The algorithm will later be used as a backbone for distributed federated learning. This version only deals with message communication between neighbors: there is no training/learning. The messages will later represent the weight exchanges of local neural networks (NN) deployed on the nodes.
This project implements a **Sockets** based distributed algorithm for communication between nodes. The code is designed to be containerised using Docker and executed locally. The algorithm will later be used as a backbone for distributed federated learning. This version only deals with message communication between neighbors: there is no training/learning. The messages will later represent the weight exchanges of local neural networks (NN) deployed on the nodes.
