AI RESEARCH
FIRMA: FIbonacci Ring Model Aggregation for Privacy-preserving Federated Learning
arXiv CS.LG
•
ArXi:2605.22898v1 Announce Type: new Federated learning protocols face a structural trilemma: canonical server-based aggregation~\cite{mcmahan2017} creates a single point of failure and gradient inversion risk; decentralised ring-gossip alternatives~\cite{hu2019segmented} expose classification heads to semi-honest peers via uninformed uniform weights; and personalised methods~\cite{collins2021exploiting} re