Pérez, Gregorio Martínez

S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning

2025 · Open MIND

Decentralized Federated Learning (DFL) enables collaborative, privacy-preserving model training without relying on a central server. This decentralized approach reduces bottlenecks and eliminates single points of failure, enhancing scalability and resilience. However, DFL also introduces challenges, …