The main contribution of this paper is a strong converse result for K-hop distributed
hypothesis testing against independence with multiple (intermediate) decision centers under …

Distributed hypothesis testing (DHT) has emerged as a significant research area, but the
information-theoretic optimality of coding strategies is often typically hard to address. This …

A distributed binary hypothesis testing (HT) problem over a noisy (discrete and memoryless)
channel studied previously by the authors is investigated from the perspective of the strong …

The problem of distributed testing against independence with variable-length coding is
considered when the average and not the maximum communication load is constrained as …

We consider a multi-hop distributed hypothesis testing problem with multiple decision
centers (DCs) for testing against independence and where the observations obey some …

We study distributed binary hypothesis testing with a single sensor and two remote decision
centers that are also equipped with local sensors. The communication between the sensor …

In the popular federated learning scenarios, distributed nodes often represent and exchange
information through functions or statistics of data, with communicative processes constrained …

THIS PAPER IS ELIGIBLE FOR THE STUDENT PAPER AWARD. This paper studies the
problem of distributed detection (binary hypothesis testing) over a discrete memoryless …

The trade-offs between error probabilities in quantum hypothesis testing are by now well-
understood in the centralized setting, but much less is known for distributed settings. Here …

Internet of Things (IoT) systems may be deployed to monitor spatially distributed quantities of
interests (QoIs), such as noise or pollution levels. This paper considers a fog-based IoT …