Model-Consistent Byzantine-Resilient Decentralized Federated Learning for Collaborative Missions
DFL-C is introduced, a novel Byzantine-resilient DFL architecture that enables decentralized nodes to perform collaborative training with global model consistency and implements a dual-domain trust scoring mechanism to provide resilience against data-domain Byzantine manipulations including model poisoning attacks.