A Faster Approach to Network Control

Informazioni relative al progetto

FANC

ID dell’accordo di sovvenzione: 795244

DOI 10.3030/795244

Progetto chiuso

Data della firma CE 28 Marzo 2018

Data di avvio 1 Gennaio 2019

Data di completamento 2 Giugno 2022

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale € 248 063,40

Contributo UE € 248 063,40

Coordinato da

THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD, OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
Ireland

Pubblicazioni

Conference proceedings (5)

Measurement-driven Analysis of an Edge-Assisted Object Recognition System

Autori: Apostolos Galanopoulos, Victor Valls, George Iosifidis, Douglas J. Leith
Pubblicato in: ICC 2020 - 2020 IEEE International Conference on Communications (ICC), 2020, Pagina/e 1-7, ISBN 978-1-7281-5089-5
Editore: IEEE
DOI: 10.1109/icc40277.2020.9149069

Online Network Flow Optimization for Multi-Grade Service Chains

Autori: Victor Valls, George Iosifidis, Geeth de Mel, Leandros Tassiulas
Pubblicato in: IEEE INFOCOM 2020 - IEEE Conference on Computer Communications, 2020, Pagina/e 1329-1338, ISBN 978-1-7281-6412-0
Editore: IEEE
DOI: 10.1109/infocom41043.2020.9155341

Online Convex Optimization with Perturbed Constraints: Optimal Rates against Stronger Benchmarks

Autori: Victor Valls, George Iosifidis, Douglas Leith, Leandros Tassiulas
Pubblicato in: Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, 2020, Pagina/e 2885-2895
Editore: PMLR

Dynamic Scheduling for IoT Analytics at the Edge

Autori: Apostolos Galanopoulos, Victor Valls, Douglas J. Leith, George Iosifidis
Pubblicato in: "2020 IEEE 21st International Symposium on ""A World of Wireless, Mobile and Multimedia Networks"" (WoWMoM)", 2020, Pagina/e 157-166, ISBN 978-1-7281-7374-0
Editore: IEEE
DOI: 10.1109/wowmom49955.2020.00036

Online Distributed Analytics at the Edge with Multiple Service Grades

Autori: Victor Valls, Geeth de Mel, Heesung Kwon, Leandros Tassiulas
Pubblicato in: 2019 IEEE International Conference on Smart Computing (SMARTCOMP), 2019, Pagina/e 51-56, ISBN 978-1-7281-1689-1
Editore: IEEE
DOI: 10.1109/smartcomp.2019.00028

Peer reviewed articles (2)

Model Pruning Enables Efficient Federated Learning on Edge Devices

Autori: Yuang Jiang, Shiqiang Wang , Víctor Valls, Jun Bong, Wei-Han Lee,, Kin K. Leung , and Leandros Tassiulas
Pubblicato in: IEEE Transactions on Neural Networks and Learning Systems, 2022, Pagina/e 1 - 13, ISSN 2162-237X
Editore: IEEE Computational Intelligence Society
DOI: 10.1109/tnnls.2022.3166101

Birkhoff's Decomposition Revisited: Sparse Scheduling for High-Speed Circuit Switches

Autori: Victor Valls, George Iosifidis, Leandros Tassiulas
Pubblicato in: IEEE/ACM Transactions on Networking, 2021, Pagina/e 1-14, ISSN 1063-6692
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnet.2021.3088327

Other (1)

Accelerated Convex Optimization with Stochastic Gradients: Generalizing the Strong-Growth Condition

Autori: Víctor Valls, Shiqiang Wang, Yuang Jiang, Leandros Tassiulas
Pubblicato in: ArXiv, 2022
Editore: ArXiv