Cite
Secure and efficient federated learning via novel multi-party computation and compressed sensing.
MLA
Chen, Lvjun, et al. “Secure and Efficient Federated Learning via Novel Multi-Party Computation and Compressed Sensing.” Information Sciences, vol. 667, May 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.ins.2024.120481.
APA
Chen, L., Xiao, D., Yu, Z., & Zhang, M. (2024). Secure and efficient federated learning via novel multi-party computation and compressed sensing. Information Sciences, 667, N.PAG. https://doi.org/10.1016/j.ins.2024.120481
Chicago
Chen, Lvjun, Di Xiao, Zhuyang Yu, and Maolan Zhang. 2024. “Secure and Efficient Federated Learning via Novel Multi-Party Computation and Compressed Sensing.” Information Sciences 667 (May): N.PAG. doi:10.1016/j.ins.2024.120481.