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Víctor Valls
Víctor Valls
Research Scientist at IBM Research Europe – Dublin
Verified email at ibm.com
Title
Cited by
Cited by
Year
Model pruning enables efficient federated learning on edge devices
Y Jiang, S Wang, V Valls, BJ Ko, WH Lee, KK Leung, L Tassiulas
IEEE Transactions on Neural Networks and Learning Systems, 2022
3282022
Maximizing LTE capacity in unlicensed bands (LTE-U/LAA) while fairly coexisting with 802.11 WLANs
V Valls, A Garcia-Saavedra, X Costa, DJ Leith
IEEE Communications Letters 20 (6), 1219-1222, 2016
562016
Performance analysis of IEEE 802.11ac wireless backhaul networks in saturated conditions
R Liao, B Bellalta, J Barcelo, V Valls, M Oliver
EURASIP Journal on Wireless Communications and Networking 2013 (1), 1-14, 2013
472013
LaSR: A supple multi-connectivity scheduler for multi-RAT OFDMA systems
L Diez, A Garcia-Saavedra, V Valls, X Li, X Costa-Perez, R Agüero
IEEE Transactions on Mobile Computing 19 (3), 624-639, 2018
262018
ORLA/OLAA: Orthogonal coexistence of LAA and WiFi in unlicensed spectrum
A Garcia-Saavedra, P Patras, V Valls, X Costa-Perez, DJ Leith
IEEE/ACM Transactions on Networking 26 (6), 2665-2678, 2018
252018
Proportional fair MU-MIMO in 802.11 WLANs
V Valls, DJ Leith
IEEE Wireless Communications Letters 3 (2), 221-224, 2014
182014
Online convex optimization with perturbed constraints: Optimal rates against stronger benchmarks
V Valls, G Iosifidis, D Leith, L Tassiulas
International Conference on Artificial Intelligence and Statistics, 2885-2895, 2020
152020
Measurement-driven analysis of an edge-assisted object recognition system
A Galanopoulos, V Valls, G Iosifidis, DJ Leith
ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-7, 2020
142020
Quantum optimization: Potential, challenges, and the path forward
A Abbas, A Ambainis, B Augustino, A Bärtschi, H Buhrman, C Coffrin, ...
arXiv preprint arXiv:2312.02279, 2023
132023
Online network flow optimization for multi-grade service chains
V Valls, G Iosifidis, G De Mel, L Tassiulas
IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 1329-1338, 2020
132020
Maximum lifetime analytics in IoT networks
V Valls, G Iosifidis, T Salonidis
IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 1369-1377, 2019
132019
A convex optimization approach to discrete optimal control
V Valls, DJ Leith
arXiv preprint arXiv:1701.02414, 2017
132017
Max-weight revisited: Sequences of nonconvex optimizations solving convex optimizations
V Valls, DJ Leith
IEEE/ACM Transactions on Networking, 2014
132014
Birkhoff¢s decomposition revisited: Sparse scheduling for high-speed circuit switches
V Valls, G Iosifidis, L Tassiulas
IEEE/ACM Transactions on Networking 29 (6), 2399-2412, 2021
122021
Quantum optimization: Potential, challenges, and the path forward (2023)
A Abbas, A Ambainis, B Augustino, A Bärtschi, H Buhrman, C Coffrin, ...
arXiv preprint arXiv:2312.02279, 0
9
Sensor information fueling open data
M Oliver, M Palacin, A Domingo, V Valls
2012 IEEE 36th Annual Computer Software and Applications Conference …, 2012
72012
Model pruning enables efficient federated learning on edge devices. arXiv 2019
Y Jiang, S Wang, V Valls, BJ Ko, WH Lee, KK Leung, L Tassiulas
arXiv preprint arXiv:1909.12326, 0
7
Otter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discovery
HT Lam, ML Sbodio, MM Gallindo, M Zayats, R Fernandez-Diaz, V Valls, ...
arXiv preprint arXiv:2306.12802, 2023
52023
Dynamic scheduling for iot analytics at the edge
A Galanopoulos, V Valls, DJ Leith, G Iosifidis
2020 IEEE 21st International Symposium on" A World of Wireless, Mobile and …, 2020
52020
A convex optimisation approach to traffic signal control
V Valls, J Monteil, M Bouroche
2016 IEEE 19th International Conference on Intelligent Transportation …, 2016
52016
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Articles 1–20