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Books and Theses
- 2023
[b1]Marina Costantini:
Optimization methods over networks for popular content delivery and distributed machine learning. (Méthodes d'optimisation sur réseaux pour la distribution de contenu populaire et l'apprentissage automatique distribué). Sorbonne University, Paris, France, 2023
Journal Articles
- 2018
- [j1]Santiago Coelho, Jose M. Pozo
, Marina Costantini, J. Robin Highley, Meghdoot Mozumder, Julie E. Simpson, Paul G. Ince, Alejandro F. Frangi:
Local volume fraction distributions of axons, astrocytes, and myelin in deep subcortical white matter. NeuroImage 179: 275-287 (2018)
Conference and Workshop Papers
- 2024
- [c4]Marina Costantini, Giovanni Neglia, Thrasyvoulos Spyropoulos:
FedDec: Peer-to-peer Aided Federated Learning. SPAWC 2024: 426-430 - 2022
- [c3]Marina Costantini, Nikolaos Liakopoulos, Panayotis Mertikopoulos, Thrasyvoulos Spyropoulos:
Pick your Neighbor: Local Gauss-Southwell Rule for Fast Asynchronous Decentralized Optimization. CDC 2022: 1602-1609 - 2020
- [c2]Marina Costantini, Thrasyvoulos Spyropoulos, Theodoros Giannakas, Pavlos Sermpezis:
Approximation Guarantees for the Joint Optimization of Caching and Recommendation. ICC 2020: 1-7 - [c1]Marina Costantini, Thrasyvoulos Spyropoulos:
Impact of Popular Content Relational Structure on Joint Caching and Recommendation Policies. WiOpt 2020: 278-285
Informal and Other Publications
- 2023
- [i2]Marina Costantini, Giovanni Neglia, Thrasyvoulos Spyropoulos:
FedDec: Peer-to-peer Aided Federated Learning. CoRR abs/2306.06715 (2023) - 2022
- [i1]Marina Costantini, Nikolaos Liakopoulos, Panayotis Mertikopoulos, Thrasyvoulos Spyropoulos:
Pick your Neighbor: Local Gauss-Southwell Rule for Fast Asynchronous Decentralized Optimization. CoRR abs/2207.07543 (2022)
Coauthor Index
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