Marco Canini is affiliated with King Abdullah University of Science and Technology in Saudi Arabia. Their research primarily falls within the broader field of Computer Science, with focused contributions in Artificial Intelligence, Computer Networks and Communications, and Information Systems. Additional areas of study include Computational Mechanics and Computer Vision and Pattern Recognition.
The scientist has authored numerous publications, including recent papers such as "P4xos: Consensus as a Network Service" (2020) published in IEEE/ACM Transactions on Networking, "A Comprehensive Empirical Study of Heterogeneity in Federated Learning" (2023) in IEEE Internet of Things Journal, and "An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems" (2021) on arXiv. Other papers include "Rethinking gradient sparsification as total error minimization" (2021) also on arXiv and "Do the best cloud configurations grow on trees?" (2020) in the Proceedings of the VLDB Endowment.
Research topics addressed by Marco Canini encompass:
Frequent co-authors include:
Their work has appeared in various reputable publication venues, with notable frequency in:
Marco Canini;Daniele Venzano;Peter Perešíni;Dejan Kostić
Arpit Gupta;Rob Harrison;Marco Canini;Nick Feamster
Amedeo Sapio;Ibrahim Abdelaziz;Abdulla Aldilaijan;Marco Canini
Mark Reitblatt;Marco Canini;Arjun Guha;Nate Foster
Wei Li;Marco Canini;Andrew W. Moore;Raffaele Bolla
Lalith Suresh;Marco Canini;Stefan Schmid;Anja Feldmann
Huynh Tu Dang;Daniele Sciascia;Marco Canini;Fernando Pedone
Dan Levin;Marco Canini;Stefan Schmid;Fabian Schaffert
Amedeo Sapio;Marco Canini;Chen-Yu Ho;Jacob Nelson
Maciej Kuzniar;Peter Peresini;Marco Canini;Daniele Venzano
Marco Canini;Petr Kuznetsov;Dan Levin;Stefan Schmid
Huynh Tu Dang;Marco Canini;Fernando Pedone;Robert Soulé
Nedeljko Vasić;Prateek Bhurat;Dejan Novaković;Marco Canini
Amedeo Sapio;Marco Canini;Chen-Yu Ho;Jacob Nelson
Samuel Horváth;Chen-Yu Ho;Ludovit Horváth;Atal Narayan Sahu
Jiawei Fei;Chen-Yu Ho;Atal N. Sahu;Marco Canini
Eduard Goma;Marco Canini;Alberto Lopez Toledo;Nikolaos Laoutaris
Huynh Tu Dang;Pietro Bressana;Han Wang;Ki Suh Lee
Marco Canini;Petr Kuznetsov;Dan Levin;Stefan Schmid
Arpit Gupta;Robert MacDavid;Rüdiger Birkner;Marco Canini
Dan Levin;Marco Canini;Stefan Schmid;Anja Feldmann
Jongyul Kim;Insu Jang;Waleed Reda;Jaeseong Im
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science doesn’t end with a four-year degree. Many students look into specialized online programs to expand their skill set or accelerate their careers. For those interested in the intersection of programming, statistics, and business, pursuing a data science degree is an affordable and high-demand pathway.
Another popular area is electrical engineering. Earning your credential from one of the top online electrical engineering schools can provide a versatile career, especially if you're interested in hardware, robotics, or systems design.
Not everyone has the time or resources for a lengthy program. In that case, you may want to consider easy certifications to get online. These quick credentials can improve your earning potential and help you enter new tech fields without years of schooling.
Finally, if you want to level up your qualifications as fast as possible, check out the quickest online masters degree options. These accelerated programs can be completed in as little as one year, helping you enter advanced roles sooner.
University of Helsinki
University of Florida
Technical University of Munich
Washington University in St. Louis
University of Rochester
National Institutes of Health
National Institute of Polar Research
University of Barcelona
University of Washington
University of Freiburg
MIT
University of La Rochelle
North Carolina State University
University of Catania
Kingston University
University of Gloucestershire
