Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners under Networking Constraints

• Published in: Annual Joint Conference of the IEEE Computer and Communications Societies pp. 210 - 219
• Main Authors: Liu, Yuezhou, Li, Yuanyuan, Su, Lili, Yeh, Edmund, Ioannidis, Stratis
• Format: Conference Proceeding
• Language: English
• Published: IEEE 02.05.2022
• Subjects: Bayes methods; Computational modeling; Data communication; Data models; Soft sensors; Tail; Training data

Significant advances in edge computing capabilities enable learning to occur at geographically diverse locations. In general, the training data needed in those learning tasks are not only heterogeneous but also not fully generated locally. In this paper, we propose an experimental design network par...