Decentralized federated learning can achieve Byzantine-resilient consensus and finality by leveraging the same gossip history used for model distribution, eliminating the need for a central coordinator or global consensus mechanism.
This paper introduces gspDAG-FL, a decentralized federated learning system that uses gossip communication and a directed acyclic graph (DAG) structure to achieve consensus without a central server.