A verifiable efficient federated learning method based on adaptive Boltzmann selection for data processing in the internet of things

作者：Lan Yang, Lixiang Li, Haipeng Peng · 发表于：Journal of Systems Architecture · 年份：2025 · DOI：10.1016/j.sysarc.2025.103523 · 被引用次数：2 · 研究领域：Privacy-Preserving Technologies in Data、Internet Traffic Analysis and Secure E-voting、Stochastic Gradient Optimization Techniques