Marco Canini

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Dejan KosticProfessor, KTH Royal Institute of TechnologyEmail yang diverifikasi di kth.se
Stefan SchmidProfessor, Computer Science, TU Berlin & Weizenbaum Institute & Fraunhofer SITEmail yang diverifikasi di tu-berlin.de
Perešíni PeterComenius University, BratislavaEmail yang diverifikasi di uniba.sk
Panos KalnisProfessor of Computer Science, King Abdullah University of Science and Technology (KAUST)Email yang diverifikasi di kaust.edu.sa
Chen-Yu HoByteDance Inc.Email yang diverifikasi di bytedance.com
Dan LevinTU BerlinEmail yang diverifikasi di inet.tu-berlin.de
Anja FeldmannDirektor, Max Planck Institut für Informatik, Saarland Informatics Campus, Saarland UniversityEmail yang diverifikasi di mpi-inf.mpg.de
Jennifer RexfordProfessor of Computer Science, Princeton UniversityEmail yang diverifikasi di princeton.edu
Andrew W. MooreUniversity of CambridgeEmail yang diverifikasi di cl.cam.ac.uk
Marco ChiesaKTH Royal Institute of TechnologyEmail yang diverifikasi di kth.se
Maciej KuzniarEPFL, SwitzerlandEmail yang diverifikasi di epfl.ch
Daniele VenzanoEurecomEmail yang diverifikasi di eurecom.fr
Peter RichtarikProfessor, KAUSTEmail yang diverifikasi di kaust.edu.sa
Amedeo SapioNVIDIAEmail yang diverifikasi di nvidia.com
Fernando PedoneProfessor, Università della Svizzera italiana (USI)Email yang diverifikasi di usi.ch
Robert SouléAssociate Professor of Computer Science, Yale UniversityEmail yang diverifikasi di yale.edu
Waleed RedaMicrosoft ResearchEmail yang diverifikasi di microsoft.com
Raffaele BollaUniversity of GenoaEmail yang diverifikasi di unige.it
Aritra DuttaAssistant Professor, University of Central FloridaEmail yang diverifikasi di ucf.edu
Nick FeamsterNeubauer Professor of Computer Science, University of ChicagoEmail yang diverifikasi di uchicago.edu

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Marco Canini

KAUST

Email yang diverifikasi di kaust.edu.sa - Beranda

Systems Networking Distributed Systems Machine Learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
A NICE Way to Test OpenFlow Applications M Canini, D Venzano, P Perešíni, D Kostić, J Rexford 9th USENIX Symposium on Networked Systems Design and Implementation (NSDI 12 …, 2012	759	2012
Scaling distributed machine learning with in-network aggregation A Sapio, M Canini, CY Ho, J Nelson, P Kalnis, C Kim, A Krishnamurthy, ... NSDI, 2021	501	2021
Sonata: Query-driven streaming network telemetry A Gupta, R Harrison, M Canini, N Feamster, J Rexford, W Willinger Proceedings of the 2018 conference of the ACM special interest group on data …, 2018	407	2018
In-network computation is a dumb idea whose time has come A Sapio, I Abdelaziz, A Aldilaijan, M Canini, P Kalnis Proceedings of the 16th ACM Workshop on Hot Topics in Networks, 150-156, 2017	346	2017
C3: Cutting tail latency in cloud data stores via adaptive replica selection L Suresh, M Canini, S Schmid, A Feldmann 12th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2015	278	2015
Fattire: Declarative fault tolerance for software-defined networks M Reitblatt, M Canini, A Guha, N Foster Proceedings of the second ACM SIGCOMM workshop on Hot topics in software …, 2013	275	2013
Efficient application identification and the temporal and spatial stability of classification schema W Li, M Canini, AW Moore, R Bolla Computer Networks 53 (6), 790-809, 2009	255	2009
Netpaxos: Consensus at network speed HT Dang, D Sciascia, M Canini, F Pedone, R Soulé Proceedings of the 1st ACM SIGCOMM Symposium on Software Defined Networking …, 2015	231	2015
Panopticon: Reaping the Beneﬁts of Incremental SDN Deployment in Enterprise Networks D Levin, M Canini, S Schmid, F Schaffert, A Feldmann 2014 USENIX Annual Technical Conference (USENIX ATC 14), 333-345, 2014	217	2014
Natural compression for distributed deep learning S Horvóth, CY Ho, L Horvath, AN Sahu, M Canini, P Richtárik Mathematical and Scientific Machine Learning, 129-141, 2022	185	2022
Paxos made switch-y HT Dang, M Canini, F Pedone, R Soulé ACM SIGCOMM Computer Communication Review 46 (2), 18-24, 2016	159	2016
A distributed and robust SDN control plane for transactional network updates M Canini, P Kuznetsov, D Levin, S Schmid 2015 IEEE conference on computer communications (INFOCOM), 190-198, 2015	153	2015
A soft way for openflow switch interoperability testing M Kuzniar, P Peresini, M Canini, D Venzano, D Kostic Proceedings of the 8th international conference on Emerging networking …, 2012	148	2012
An {Industrial-Scale} Software Defined Internet Exchange Point A Gupta, R MacDavid, R Birkner, M Canini, N Feamster, J Rexford, ... 13th USENIX symposium on networked systems design and implementation (NSDI …, 2016	135	2016
Identifying and using energy-critical paths N Vasić, P Bhurat, D Novaković, M Canini, S Shekhar, D Kostić Proceedings of the seventh conference on emerging networking experiments and …, 2011	126	2011
P4xos: Consensus as a network service HT Dang, P Bressana, H Wang, KS Lee, N Zilberman, H Weatherspoon, ... IEEE/ACM Transactions on Networking 28 (4), 1726-1738, 2020	110	2020
Efficient sparse collective communication and its application to accelerate distributed deep learning J Fei, CY Ho, AN Sahu, M Canini, A Sapio Proceedings of the 2021 ACM SIGCOMM 2021 Conference, 676-691, 2021	105	2021
Incremental SDN deployment in enterprise networks D Levin, M Canini, S Schmid, A Feldmann ACM SIGCOMM Computer Communication Review 43 (4), 473-474, 2013	105	2013
Grace: A compressed communication framework for distributed machine learning H Xu, CY Ho, AM Abdelmoniem, A Dutta, EH Bergou, K Karatsenidis, ... 2021 IEEE 41st international conference on distributed computing systems …, 2021	104	2021
On the discrepancy between the theoretical analysis and practical implementations of compressed communication for distributed deep learning A Dutta, EH Bergou, AM Abdelmoniem, CY Ho, AN Sahu, M Canini, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3817-3824, 2020	101	2020

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