Cite
Privacy-preserving weighted average consensus and optimal attacking strategy for multi-agent networks.
MLA
Wang, Aijuan, et al. “Privacy-Preserving Weighted Average Consensus and Optimal Attacking Strategy for Multi-Agent Networks.” Journal of the Franklin Institute, vol. 358, no. 6, Apr. 2021, pp. 3033–50. EBSCOhost, https://doi.org/10.1016/j.jfranklin.2021.01.039.
APA
Wang, A., Liu, W., Li, T., & Huang, T. (2021). Privacy-preserving weighted average consensus and optimal attacking strategy for multi-agent networks. Journal of the Franklin Institute, 358(6), 3033–3050. https://doi.org/10.1016/j.jfranklin.2021.01.039
Chicago
Wang, Aijuan, Wanping Liu, Tiehu Li, and Tingwen Huang. 2021. “Privacy-Preserving Weighted Average Consensus and Optimal Attacking Strategy for Multi-Agent Networks.” Journal of the Franklin Institute 358 (6): 3033–50. doi:10.1016/j.jfranklin.2021.01.039.