activity
20222026
most citedModelling multi-cell edge video analytics

6 citations · 10 across the 6 of their papers we have counts for

collaborators

6 papers

cs.NI2026

Stochastic Modeling and Resource Dimensioning of Multi-Cellular Edge Intelligent Systems

Jaume Anguera Peris, Joakim Jaldén

Edge intelligence enables AI inference at the network edge, co-located with or near the radio access network, rather than in centralized clouds or on mobile devices. It targets low…

stat.AP2025

Restless Multi-Process Multi-Armed Bandits with Applications to Self-Driving Microscopies

Jaume Anguera Peris, Songtao Cheng, Hanzhao Zhang +2

High-content screening microscopy generates large amounts of live-cell imaging data, yet its potential remains constrained by the inability to determine when and where to image mos…

math.NA2024

Extreme Distance Distributions of Poisson Voronoi Cells

Jaume Anguera Peris, Joakim Jaldén

Poisson point processes provide a versatile framework for modeling the distributions of random points in space. When the space is partitioned into cells, each associated with a sin…

eess.SP2023★ 4 cited

Resource Dimensioning for Single-Cell Edge Video Analytics

Jaume Anguera Peris, Viktoria Fodor

Edge intelligence is an emerging technology where the base stations located at the edge of the network are equipped with computing units that provide machine learning services to t…

cs.LG2022

Blind Asynchronous Over-the-Air Federated Edge Learning

Saeed Razavikia, Jaume Anguera Peris, Jose Mairton B. da Silva +1

Federated Edge Learning (FEEL) is a distributed machine learning technique where each device contributes to training a global inference model by independently performing local comp…

eess.SP2022★ 6 cited

Modelling multi-cell edge video analytics

Jaume Anguera Peris, Viktoria Fodor

Edge intelligence is a scalable solution for analyzing distributed data, but it cannot provide reliable services in large-scale cellular networks unless the inherent aspects of fad…