October 2026

Over-the-air computation (OAC) harnesses the natural superposition of wireless signals to compute aggregate functions during transmission, thereby collapsing communication and computation into a singl

The traditional diffusion algorithms usually suffer from high communication load in distributed networks. Regarding this issue, the distributed compressed estimation (DCE) scheme reduce the communicat

This paper addresses a class of blind detection problems characterized by non-random and unknown parameters: the noise covariance matrix, the transmitted data vector, and the channel vector. The data

Multi-sourced datasets are common in studies of variable interactions, for example, heterogeneous gene networks, cross-domain recommendation, etc., where each source induces a related but distinct dep

In large antenna arrays, hardware power consumption becomes a dominant design constraint, making energy efficiency (EE) a primary design objective alongside spectral efficiency (SE). Microwave linear

In this article, we examine the effect of link noise on the performance of the exact diffusion stochastic gradient (EDSG) procedure for optimization and learning over adaptive networks. First, it is s