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of 26
pro vyhledávání: '"Liakopoulos, Nikolaos"'
Autor:
Costantini, Marina, Liakopoulos, Nikolaos, Mertikopoulos, Panayotis, Spyropoulos, Thrasyvoulos
In decentralized optimization environments, each agent $i$ in a network of $n$ nodes has its own private function $f_i$, and nodes communicate with their neighbors to cooperatively minimize the aggregate objective $\sum_{i=1}^n f_i$. In this setting,
Externí odkaz:
http://arxiv.org/abs/2207.07543
Autor:
Karagkioules, Theodoros, Paschos, Georgios S., Liakopoulos, Nikolaos, Fiandrotti, Attilio, Tsilimantos, Dimitrios, Cagnazzo, Marco
In this paper, we propose a novel algorithm for video rate adaptation in HTTP Adaptive Streaming (HAS), based on online learning. The proposed algorithm, named Learn2Adapt (L2A), is shown to provide a robust rate adaptation strategy which, unlike mos
Externí odkaz:
http://arxiv.org/abs/1905.11705
Autor:
Vassilaras, Spyridon, Vigneri, Luigi, Liakopoulos, Nikolaos, Paschos, Georgios S., Destounis, Apostolos, Spyropoulos, Thrasyvoulos, Debbah, Merouane
Future 5G wireless networks will rely on agile and automated network management, where the usage of diverse resources must be jointly optimized with surgical accuracy. A number of key wireless network functionalities (e.g., traffic steering, power co
Externí odkaz:
http://arxiv.org/abs/1805.12090
The massive scale of future wireless networks will create computational bottlenecks in performance optimization. In this paper, we study the problem of connecting mobile traffic to Cloud RAN (C-RAN) stations. To balance station load, we steer the tra
Externí odkaz:
http://arxiv.org/abs/1805.01559
Akademický článek
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Publikováno v:
12th International Conference on Information, Intelligence, Systems & Applications (IISA)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::91c6c672f9888831be4fdbf811fd6c54
Autor:
Liakopoulos, Nikolaos
Publikováno v:
Thesis
Optimization and Control [math.OC]. Sorbonne Université, 2019. English. ⟨NNT : 2019SORUS529⟩
Optimization and Control [math.OC]. Sorbonne Université, 2019. English. ⟨NNT : 2019SORUS529⟩
Traditionally, network optimization is used to provide good configurations in real network system problems based on mathematical models and statistical assumptions. Recently, this paradigm is evolving, fueled by an explosion of availability of data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a385456d73a1372cc510ab9d24a876c9
http://www.eurecom.fr/publication/5928
http://www.eurecom.fr/publication/5928
Publikováno v:
INFOCOM 2019, IEEE International Conference on Computer Communications, 29 April-2 May 2019, Paris, France
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1093::8a1d3917522f6f7376a85d6f851f32b7
http://www.eurecom.fr/publication/5828
http://www.eurecom.fr/publication/5828
Publikováno v:
INFOCOM 2018, IEEE International Conference on Computer Communications, 15-19 April 2018, Honolulu, HI, USA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1093::ef13b95c63712d0d97c04b62dadd9da5
http://www.eurecom.fr/publication/5451
http://www.eurecom.fr/publication/5451
Autor:
Liakopoulos, Nikolaos, Destounis, Apostolos, Paschos, Georgios, Spyropoulos, Thrasyvoulos, Mertikopoulos, Panayotis
Publikováno v:
ICML 2019-36th International Conference on Machine Learning
ICML 2019-36th International Conference on Machine Learning, Jun 2019, Long Beach, United States. pp.1-9
ICML 2019: Proceedings of the 36th International Conference on Machine Learning
ICML 2019: Proceedings of the 36th International Conference on Machine Learning, 2019, Long Beach, United States
ICML 2019-36th International Conference on Machine Learning, Jun 2019, Long Beach, United States. pp.1-9
ICML 2019: Proceedings of the 36th International Conference on Machine Learning
ICML 2019: Proceedings of the 36th International Conference on Machine Learning, 2019, Long Beach, United States
International audience; We study a class of online convex optimization problems with long-term budget constraints that arise naturally as reliability guarantees or total consumption constraints. In this general setting, prior work by Mannor et al. (2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bb8466ad1e71ce59a5f6b9769c1e9ccc
https://inria.hal.science/hal-02405753/document
https://inria.hal.science/hal-02405753/document