Tarek Abdelzaher

TL;DR: In this article, a new class of unsupervised non-negative matrix factorization (NMF) algorithms, called Belief Structured Matrix Factorization (BSMF), is proposed to detect not only points of disagreement between communities, but also points of agreement.

TL;DR: This special issue focuses on composable context aware services, a survey of ambient networks, extensions to network protocols to facilitate service discovery and composition, networking middleware and software frameworks for integration of context awareness in service composition, and an example of creating an ecosystem to build context-aware mobile social networks.

TL;DR: A vision for dependable application of machine learning-based inferencing on resource-constrained edge devices using a “cognitive edge” paradigm, whereby an edge device first autonomously uses statistical analysis to identify potential collaborative IoT nodes, and the IoT nodes then perform real-time sharing of various intermediate state to improve their individual execution of machine intelligence tasks.