Distributed remote estimation over the collision channel with and without local communication

X Zhang, MM Vasconcelos, W Cui… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Internet of Things networks are the large-scale distributed systems consisting of a massive
number of simple devices communicating, typically, over a shared wireless medium. This …

Fast networked data selection via distributed smoothed quantile estimation

X Zhang, MM Vasconcelos - arXiv preprint arXiv:2406.01929, 2024 - arxiv.org
Collecting the most informative data from a large dataset distributed over a network is a
fundamental problem in many fields, including control, signal processing and machine …

[HTML][HTML] Deterministic computation of quantiles in a Lipschitz framework

Y Gu, C Rey - Journal of Computational and Applied Mathematics, 2025 - Elsevier
In this article, we focus on computing the quantiles of a random variable f (X), where X is a
[0, 1] d-valued random variable, d∈ N∗, and f:[0, 1] d→ R is a deterministic Lipschitz …

Top-k data selection via distributed sample quantile inference

X Zhang, MM Vasconcelos - Learning for Dynamics and …, 2023 - proceedings.mlr.press
We consider the problem of determining the top-k largest measurements from a dataset
distributed among a network of n agents with noisy communication links. We show that this …

Distributed Dynamic Quantile Solver With Plug-and-Play Operation

JM Seong, JW Kim, S Lee, H Shim - IEEE Access, 2021 - ieeexplore.ieee.org
In this paper, we propose a continuous-time distributed algorithm for the dynamic quantile
problem. The problem is to find the quantile of time-varying signals in a network of agents …