Dec 8, 2022 · This article proposes a privacy-preserving multiagent PSO algorithm (called PriMPSO) to protect each particle's data and enable private data sharing in a ...

The goal of PriMPSO is to protect each particle's data in a distributed computing paradigm via existing PSO algorithms with competitive performance.

Dec 8, 2022 · 集中式粒子群优化（PSO）没有充分发挥分布式或并行计算的潜力，并且存在单点故障。特别地，PSO中的每个粒子都包含一个潜在的解决方案（例如，行进路线和神经网络 ...

Primpso: A privacy-preserving multiagent particle swarm optimization algorithm ... Automatic clustering approach based on particle swarm optimization for data ...

PriMPSO: A Privacy-Preserving Multiagent Particle Swarm Optimization Algorithm. ... One-stage and Dual-heuristic Particle Swarm optimization for Virtual ...

PriMPSO: A privacy-preserving multiagent particle swarm optimization algorithm. B Zhao, X Liu, A Song, WN Chen, KK Lai, J Zhang, RH Deng. IEEE Transactions on ...

PriMPSO: A Privacy-Preserving Multiagent Particle Swarm Optimization Algorithm ... particle's data and enable private data sharing in a privacy-preserving manner.

Deng, “PriMPSO: A privacy-preserving multiagent particle swarm optimization algorithm,” IEEE Transactions on Cybernetics, pp. 1–14,. 2022. [Online] ...

... PRIMPSO: A Privacy-Preserving Multiagent Particle Swarm Optimization Algorithm. IEEE Transactions on Cybernetics. [2] Jianping Cai, Ximeng Liu, Zhiyong Yu ...

PriMPSO: A Privacy-Preserving Multiagent Particle Swarm Optimization Algorithm · Bowen ZhaoXimeng Liu +4 authors. R. Deng. Computer Science, Engineering. IEEE ...