17 citations · 23 across the 12 of their papers we have counts for
14 papers
On the Capacity of the Quantum Switch with and without Entanglement Decoherence
Víctor Valls, Panagiotis Promponas, Leandros Tassiulas
This paper studies the capacity of the quantum switch for two decoherence models: when link-level entanglements last (i) for a time slot, or (ii) until they are used to serve a req…
Information Flow in Graph Neural Networks: A Clinical Triage Use Case
Víctor Valls, Mykhaylo Zayats, Alessandra Pascale
Graph Neural Networks (GNNs) have gained popularity in healthcare and other domains due to their ability to process multi-modal and multi-relational graphs. However, efficient trai…
Full Exploitation of Limited Memory in Quantum Entanglement Switching
Panagiotis Promponas, Víctor Valls, Leandros Tassiulas
We study the problem of operating a quantum switch with memory constraints. In particular, the switch has to allocate quantum memories to clients to generate link-level entanglemen…
Accelerated Convex Optimization with Stochastic Gradients: Generalizing the Strong-Growth Condition
Víctor Valls, Shiqiang Wang, Yuang Jiang +1
This paper presents a sufficient condition for stochastic gradients not to slow down the convergence of Nesterov's accelerated gradient method. The new condition has the strong-gro…
Birkhoff's Decomposition Revisited: Sparse Scheduling for High-Speed Circuit Switches
Víctor Valls, George Iosifidis, Leandros Tassiulas
Data centers are increasingly using high-speed circuit switches to cope with the growing demand and reduce operational costs. One of the fundamental tasks of circuit switches is to…
Measurement-driven Analysis of an Edge-Assisted Object Recognition System
A. Galanopoulos, V. Valls, G. Iosifidis +1
We develop an edge-assisted object recognition system with the aim of studying the system-level trade-offs between end-to-end latency and object recognition accuracy. We focus on d…
Online Convex Optimization with Perturbed Constraints
Víctor Valls, George Iosifidis, Douglas J. Leith +1
This paper addresses Online Convex Optimization (OCO) problems where the constraints have additive perturbations that (i) vary over time and (ii) are not known at the time to make…
Maximum Lifetime Analytics in IoT Networks
Victor Valls, George Iosifidis, Theodoros Salonidis
This paper studies the problem of allocating bandwidth and computation resources to data analytics tasks in Internet of Things (IoT) networks. IoT nodes are powered by batteries, c…
ORLA/OLAA: Orthogonal Coexistence of LAA and WiFi in Unlicensed Spectrum
Andres Garcia-Saavedra, Paul Patras, Victor Valls +2
Future mobile networks will exploit unlicensed spectrum to boost capacity and meet growing user demands cost-effectively. The 3GPP has recently defined a Licensed-Assisted Access (…
A Convex Optimization Approach to Discrete Optimal Control
Víctor Valls, Douglas J. Leith
In this paper, we bring the celebrated max-weight features (myopic and discrete actions) to mainstream convex optimization. Myopic actions are important in control because decision…
Descent With Approximate Multipliers is Enough: Generalising Max-Weight
Víctor Valls, Douglas J. Leith
We study the use of approximate Lagrange multipliers and discrete actions in solving convex optimisation problems. We observe that descent, which can be ensured using a wide range…
Max-Weight Revisited: Sequences of Non-Convex Optimisations Solving Convex Optimisations
Víctor Valls, Douglas J. Leith
We investigate the connections between max-weight approaches and dual subgradient methods for convex optimisation. We find that strong connections exist and we establish a clean, u…
Proportional Fair MU-MIMO in 802.11 WLANs
Víctor Valls, Douglas J. Leith
We consider the proportional fair rate allocation in an 802.11 WLAN that supports multi-user MIMO (MU-MIMO) transmission by one or more stations. We characterise, for the first tim…
Hierarchical Range Sectoring and Bidirectional Link Quality Estimation for On-demand Collections in WSNs
Víctor Valls, José Luis Sánchez, Cristina Cano +2
The paper presents two mechanisms for designing an on-demand, reliable and efficient collection protocol for Wireless Sensor Networks. The former is the Bidirectional Link Quality…