A Linear Algebraic Framework for Dynamic Scheduling Over Memory-Equipped Quantum Networks

Autor: Paolo Fittipaldi, Anastasios Giovanidis, Frederic Grosshans

Publikováno v: IEEE Transactions on Quantum Engineering, Vol 5, Pp 1-18 (2024)

Quantum internetworking is a recent field that promises numerous interesting applications, many of which require the distribution of entanglement between arbitrary pairs of users. This article deals with the problem of scheduling in an arbitrary enta

Externí odkaz: https://doaj.org/article/7c6b450558594aa6beab50347d0878b4

MDP-based Network Friendly Recommendations

Autor: Theodoros Giannakas, Anastasios Giovanidis, Thrasyvoulos Spyropoulos

Publikováno v: ACM Transactions on Modeling and Performance Evaluation of Computing Systems. 6:1-29

Controlling the network cost by delivering popular content to users, as well as improving streaming quality and overall user experience, have been key goals for content providers (CP) in recent years. While proposals to improve performance, through c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0bfa9b9e3004ffca34e17682f4e77412
https://doi.org/10.1145/3513131

Opening up echo chambers via optimal content recommendation

Autor: Antoine Vendeville, Anastasios Giovanidis, Effrosyni Papanastasiou, Benjamin Guedj

Publikováno v: Proc. of the 11th International Conference on Complex Networks and their Applications
The 11th International Conference on Complex Networks and their Applications (CNA'22)
The 11th International Conference on Complex Networks and their Applications (CNA'22), Nov 2022, Palermo, Italy
HAL

International audience; Online social platforms have become central in the political debate. In this context, the existence of echo chambers is a problem of primary relevance. These clusters of like-minded individuals tend to reinforce prior beliefs,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfaab82091a7044a1fb5974588312cf7
https://hal.science/hal-03691800

Hyperbolic K-means for traffic-aware clustering in cloud and virtualized RANs

Autor: Liticia Touzari, Chi-Dung Phung, Hanane Djeddal, Stefano Secci, Anastasios Giovanidis

Publikováno v: Computer Communications
Computer Communications, Elsevier, 2021, 176, pp.258-271. ⟨10.1016/j.comcom.2021.06.021⟩
Computer Communications, Elsevier, 2021, ⟨10.1016/j.comcom.2021.06.021⟩

International audience; As the internet and connected objects gain more and more in popularity, serving the ever-increasing data traffic becomes a challenge for the mobile operators. The traditional cellular radio access network (RAN), where each bas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb2579814dc3a361799c65fd432614ae
https://doi.org/10.1016/j.comcom.2021.06.021

Improving Graph Neural Networks at Scale: Combining Approximate PageRank and CoreRank

Autor: Ramos Vela, Ariel R., Lutzeyer, Johannes F., Anastasios Giovanidis, Michalis Vazirgiannis

Publikováno v: HAL

Graph Neural Networks (GNNs) have achieved great successes in many learning tasks performed on graph structures. Nonetheless, to propagate information GNNs rely on a message passing scheme which can become prohibitively expensive when working with in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ee15cbc2332939767b4010e5f2795a4
https://hal.science/hal-03838863