PSO + FL = PAASO: particle swarm optimization + federated learning = privacy-aware agent swarm optimization

Abstract In this paper, we present an unified framework that encompasses both particle swarm optimization (PSO) and federated learning (FL). This shows can understand PSO FL in terms of a function to be optimized by set agents but which have different privacy requirements. is the most relaxed case, considers slightly stronger constraints. Even requirements considered will lead still privacy-preserving solutions. Differentially private solutions as well local differential privacy/reidentification for opinions are additional models considered. discuss privacy-related alternatives. We experiments show how degrade results system. To end, consider problems compatible with FL.