Marco Canini

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 105

Top Venues

Publications

Janez Bozic, Amândio Faustino, Boris Radovic, Marco Canini, Veljko Pejovic
Where is the Testbed for my Federated Learning Research? CoRR (2024)
Tongzhou Gu, Jiawei Fei, Marco Canini
OmNICCL: Zero-cost Sparse AllReduce with Direct Cache Access and SmartNICs. NAIC (2024)
Mohammed Aljahdali, Ahmed M. Abdelmoniem, Marco Canini, Samuel Horváth
Flashback: Understanding and Mitigating Forgetting in Federated Learning. CoRR (2024)
Banruo Liu, Mubarak Adetunji Ojewale, Yuhan Ding, Marco Canini
Proof-of-Concept of a Flexible and High-Fidelity Approach to Distributed DNN Training Emulation. NAIC (2024)
Banruo Liu, Mubarak Adetunji Ojewale, Yuhan Ding, Marco Canini
Towards a Flexible and High-Fidelity Approach to Distributed DNN Training Emulation. APSys (2024)
Norah Alballa, Marco Canini
Practical Insights into Knowledge Distillation for Pre-Trained Models. CoRR (2024)
Banruo Liu, Mubarak Adetunji Ojewale, Yuhan Ding, Marco Canini
Towards a Flexible and High-Fidelity Approach to Distributed DNN Training Emulation. CoRR (2024)
Achref Rebai, Mubarak Adetunji Ojewale, Anees Ullah, Marco Canini, Suhaib A. Fahmy
SqueezeNIC: Low-Latency In-NIC Compression for Distributed Deep Learning. NAIC (2024)
Salma Kharrat, Marco Canini, Samuel Horváth
Decentralized Personalized Federated Learning. CoRR (2024)
Jihao Xin, Ivan Ilin, Shunkang Zhang, Marco Canini, Peter Richtárik
Kimad: Adaptive Gradient Compression with Bandwidth Awareness. DistributedML@CoNEXT (2023)
Andrei Ivanov, Benjamin Rothenberger, Arnaud Dethise, Marco Canini, Torsten Hoefler, Adrian Perrig
SAGE: Software-based Attestation for GPU Execution. USENIX Annual Technical Conference (2023)
Jihao Xin, Ivan Ilin, Shunkang Zhang, Marco Canini, Peter Richtárik
Kimad: Adaptive Gradient Compression with Bandwidth Awareness. CoRR (2023)
Shuo Liu, Qiaoling Wang, Junyi Zhang, Wenfei Wu, Qinliang Lin, Yao Liu, Meng Xu, Marco Canini, Ray C. C. Cheung, Jianfei He
In-Network Aggregation with Transport Transparency for Distributed Training. ASPLOS (3) (2023)
Congcong Miao, Yunming Xiao, Marco Canini, Ruiqiang Dai, Shengli Zheng, Jilong Wang, Jiwu Bu, Aleksandar Kuzmanovic, Yachen Wang
TENSOR: Lightweight BGP Non-Stop Routing. SIGCOMM (2023)
Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Marco Canini
A Comprehensive Empirical Study of Heterogeneity in Federated Learning. IEEE Internet Things J. 10 (16) (2023)
Fares Fourati, Salma Kharrat, Vaneet Aggarwal, Mohamed-Slim Alouini, Marco Canini
FilFL: Accelerating Federated Learning via Client Filtering. CoRR (2023)
Alessandro Cornacchia, Theophilus A. Benson, Muhammad Bilal, Marco Canini
MicroView: Cloud-Native Observability with Temporal Precision. StudentWorkshop@CoNEXT (2023)
Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy
REFL: Resource-Efficient Federated Learning. EuroSys (2023)
Jihao Xin, Marco Canini, Peter Richtárik, Samuel Horváth
Global-QSGD: Practical Floatless Quantization for Distributed Learning with Theoretical Guarantees. CoRR (2023)
Matteo Ruggeri, Alice Dethise, Marco Canini
On Detecting Biased Predictions with Post-hoc Explanation Methods. SAFE@CoNEXT (2023)
Norah Alballa, Marco Canini
A First Look at the Impact of Distillation Hyper-Parameters in Federated Knowledge Distillation. EuroMLSys@EuroSys (2023)
Muhammad Bilal, Marco Canini, Rodrigo Fonseca, Rodrigo Rodrigues
With Great Freedom Comes Great Opportunity: Rethinking Resource Allocation for Serverless Functions. EuroSys (2023)
Samuel Horváth, Chen-Yu Ho, Ludovit Horvath, Atal Narayan Sahu, Marco Canini, Peter Richtárik
Natural Compression for Distributed Deep Learning. MSML (2022)
Yifan Yuan, Omar Alama, Jiawei Fei, Jacob Nelson, Dan R. K. Ports, Amedeo Sapio, Marco Canini, Nam Sung Kim
Unlocking the Power of Inline Floating-Point Operations on Programmable Switches. NSDI (2022)
Marco Canini, Iosif Salem, Liron Schiff, Elad Michael Schiller, Stefan Schmid
: A self-stabilizing distributed SDN control plane using in-band communications. J. Comput. Syst. Sci. 127 (2022)
Aritra Dutta, El Houcine Bergou, Yunming Xiao, Marco Canini, Peter Richtárik
Direct nonlinear acceleration. EURO J. Comput. Optim. 10 (2022)
Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Marco Canini
Empirical analysis of federated learning in heterogeneous environments. EuroMLSys@EuroSys (2022)
Waleed Reda, Marco Canini, Dejan Kostic, Simon Peter
RDMA is Turing complete, we just did not know it yet! NSDI (2022)
Andrei Ivanov, Benjamin Rothenberger, Arnaud Dethise, Marco Canini, Torsten Hoefler, Adrian Perrig
SAGE: Software-based Attestation for GPU Execution. CoRR (2022)
Muhammad Bilal, Marco Canini, Rodrigo Fonseca, Rodrigo Rodrigues
With Great Freedom Comes Great Opportunity: Rethinking Resource Allocation for Serverless Functions. CoRR (2021)
Jiawei Fei, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Amedeo Sapio
Efficient sparse collective communication and its application to accelerate distributed deep learning. SIGCOMM (2021)
Zhenyu Zhou, Theophilus A. Benson, Marco Canini, Balakrishnan Chandrasekaran
Tardis: A Fault-Tolerant Design for Network Control Planes. SOSR (2021)
Waleed Reda, Marco Canini, Dejan Kostic, Simon Peter
RDMA is Turing complete, we just did not know it yet! CoRR (2021)
Yifan Yuan, Omar Alama, Amedeo Sapio, Jiawei Fei, Jacob Nelson, Dan R. K. Ports, Marco Canini, Nam Sung Kim
Unlocking the Power of Inline Floating-Point Operations on Programmable Switches. CoRR (2021)
Arnaud Dethise, Marco Canini, Nina Narodytska
Analyzing Learning-Based Networked Systems with Formal Verification. INFOCOM (2021)
Ahmed M. Abdelmoniem, Marco Canini
DC2: Delay-aware Compression Control for Distributed Machine Learning. INFOCOM (2021)
Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis
Rethinking gradient sparsification as total error minimization. NeurIPS (2021)
Yuchen Jin, Tianyi Zhou, Liangyu Zhao, Yibo Zhu, Chuanxiong Guo, Marco Canini, Arvind Krishnamurthy
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly. ICLR (2021)
Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Muhammad Bilal, Marco Canini
On the Impact of Device and Behavioral Heterogeneity in Federated Learning. CoRR (2021)
Jongyul Kim, Insu Jang, Waleed Reda, Jaeseong Im, Marco Canini, Dejan Kostic, Youngjin Kwon, Simon Peter, Emmett Witchel
LineFS: Efficient SmartNIC Offload of a Distributed File System with Pipeline Parallelism. SOSP (2021)
Ahmed M. Abdelmoniem, Ahmed Elzanaty, Mohamed-Slim Alouini, Marco Canini
An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems. CoRR (2021)
Ahmed M. Abdelmoniem, Marco Canini
Towards Mitigating Device Heterogeneity in Federated Learning via Adaptive Model Quantization. EuroMLSys@EuroSys (2021)
Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis
Rethinking gradient sparsification as total error minimization. CoRR (2021)
Yuchen Jin, Tianyi Zhou, Liangyu Zhao, Yibo Zhu, Chuanxiong Guo, Marco Canini, Arvind Krishnamurthy
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly. CoRR (2021)
Amedeo Sapio, Marco Canini, Chen-Yu Ho, Jacob Nelson, Panos Kalnis, Changhoon Kim, Arvind Krishnamurthy, Masoud Moshref, Dan R. K. Ports, Peter Richtárik
Scaling Distributed Machine Learning with In-Network Aggregation. NSDI (2021)
Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy
Resource-Efficient Federated Learning. CoRR (2021)
Hang Xu, Chen-Yu Ho, Ahmed M. Abdelmoniem, Aritra Dutta, El Houcine Bergou, Konstantinos Karatsenidis, Marco Canini, Panos Kalnis
GRACE: A Compressed Communication Framework for Distributed Machine Learning. ICDCS (2021)
Ahmed M. Abdelmoniem, Ahmed Elzanaty, Mohamed-Slim Alouini, Marco Canini
An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems. MLSys (2021)
Muhammad Bilal, Marco Canini, Rodrigo Rodrigues
Finding the right cloud configuration for analytics clusters. SoCC (2020)
Thomas E. Anderson, Marco Canini, Jongyul Kim, Dejan Kostic, Youngjin Kwon, Simon Peter, Waleed Reda, Henry N. Schuh, Emmett Witchel
Assise: Performance and Availability via Client-local NVM in a Distributed File System. OSDI (2020)
Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. AAAI (2020)
Rishikesh R. Gajjala, Shashwat Banchhor, Ahmed M. Abdelmoniem, Aritra Dutta, Marco Canini, Panos Kalnis
Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning. DistributedML@CoNEXT (2020)
Apoorv Shukla, Said Jawad Saidi, Stefan Schmid, Marco Canini, Thomas Zinner, Anja Feldmann
Toward Consistent SDNs: A Case for Network State Fuzzing. IEEE Trans. Netw. Serv. Manag. 17 (2) (2020)
Muhammad Bilal, Marco Serafini, Marco Canini, Rodrigo Rodrigues
Do the Best Cloud Configurations Grow on Trees? An Experimental Evaluation of Black Box Algorithms for Optimizing Cloud Workloads Sub. Proc. VLDB Endow. 13 (11) (2020)
Pedro de B. Marcos, Marco Chiesa, Christoph Dietzel, Marco Canini, Marinho P. Barcellos
A survey on the current internet interconnection practices. Comput. Commun. Rev. 50 (1) (2020)
Huynh Tu Dang, Pietro Bressana, Han Wang, Ki Suh Lee, Noa Zilberman, Hakim Weatherspoon, Marco Canini, Fernando Pedone, Robert Soulé
P4xos: Consensus as a Network Service. IEEE/ACM Trans. Netw. 28 (4) (2020)
Thomas E. Anderson, Marco Canini, Jongyul Kim, Dejan Kostic, Youngjin Kwon, Simon Peter, Waleed Reda, Henry N. Schuh, Emmett Witchel
Assise: Performance and Availability via NVM Colocation in a Distributed File System. CoRR (2019)
Amedeo Sapio, Marco Canini, Chen-Yu Ho, Jacob Nelson, Panos Kalnis, Changhoon Kim, Arvind Krishnamurthy, Masoud Moshref, Dan R. K. Ports, Peter Richtárik
Scaling Distributed Machine Learning with In-Network Aggregation. CoRR (2019)
Arnaud Dethise, Marco Canini, Srikanth Kandula
Cracking Open the Black Box: What Observations Can Tell Us About Reinforcement Learning Agents. NetAI@SIGCOMM (2019)
Apoorv Shukla, Said Jawad Saidi, Stefan Schmid, Marco Canini, Thomas Zinner, Anja Feldmann
Consistent SDNs through Network State Fuzzing. CoRR (2019)
Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. CoRR (2019)
Paolo Laffranchini, Luís E. T. Rodrigues, Marco Canini, Balachander Krishnamurthy
Measurements As First-class Artifacts. CoRR (2019)
Aritra Dutta, El Houcine Bergou, Yunming Xiao, Marco Canini, Peter Richtárik
Direct Nonlinear Acceleration. CoRR (2019)
Paolo Laffranchini, Luís E. T. Rodrigues, Marco Canini, Balachander Krishnamurthy
Measurements As First-class Artifacts. INFOCOM (2019)
Samuel Horvath, Chen-Yu Ho, Ludovit Horvath, Atal Narayan Sahu, Marco Canini, Peter Richtárik
Natural Compression for Distributed Deep Learning. CoRR (2019)
Huynh Tu Dang, Pietro Bressana, Han Wang, Ki Suh Lee, Noa Zilberman, Hakim Weatherspoon, Marco Canini, Fernando Pedone, Robert Soulé
Partitioned Paxos via the Network Data Plane. CoRR (2019)
Kirill Bogdanov, Waleed Reda, Gerald Q. Maguire Jr., Dejan Kostic, Marco Canini
Fast and Accurate Load Balancing for Geo-Distributed Storage Systems. SoCC (2018)
Arpit Gupta, Rob Harrison, Marco Canini, Nick Feamster, Jennifer Rexford, Walter Willinger
Sonata: query-driven streaming network telemetry. SIGCOMM (2018)
Pradeeban Kathiravelu, Marco Chiesa, Pedro de B. Marcos, Marco Canini, Luís Veiga
Moving Bits with a Fleet of Shared Virtual Routers. Networking (2018)
Marco Canini, Iosif Salem, Liron Schiff, Elad Michael Schiller, Stefan Schmid
Renaissance: A Self-Stabilizing Distributed SDN Control Plane. ICDCS (2018)
Muhammad Bilal, Hassan Alsibyani, Marco Canini
Mitigating Network Side Channel Leakage for Stream Processing Systems in Trusted Execution Environments. DEBS (2018)
Arnaud Dethise, Marco Chiesa, Marco Canini
Prelude: Ensuring Inter-Domain Loop-Freedom in SDN-Enabled Networks. APNet (2018)
Maciej Kuzniar, Peter Peresíni, Dejan Kostic, Marco Canini
Methodology, measurement and analysis of flow table update characteristics in hardware openflow switches. Comput. Networks 136 (2018)
Arnaud Dethise, Marco Chiesa, Marco Canini
Prelude: Ensuring Inter-Domain Loop-Freedom in~SDN-Enabled Networks. CoRR (2018)
Yousef Alowayed, Marco Canini, Pedro de B. Marcos, Marco Chiesa, Marinho P. Barcellos
Picking a Partner: A Fair Blockchain Based Scoring Protocol for Autonomous Systems. ANRW (2018)
Pedro de B. Marcos, Marco Chiesa, Lucas F. Müller, Pradeeban Kathiravelu, Christoph Dietzel, Marco Canini, Marinho P. Barcellos
Dynam-IX: a Dynamic Interconnection eXchange. SIGCOMM Posters and Demos (2018)
Pedro de B. Marcos, Marco Chiesa, Lucas F. Müller, Pradeeban Kathiravelu, Christoph Dietzel, Marco Canini, Marinho P. Barcellos
Dynam-IX: a dynamic interconnection eXchange. CoNEXT (2018)
Pedro de B. Marcos, Marco Chiesa, Lucas F. Müller, Pradeeban Kathiravelu, Christoph Dietzel, Marco Canini, Marinho P. Barcellos
Dynam-IX: a Dynamic Interconnection exchange. ANRW (2018)
Muhammad Bilal, Marco Canini
Towards automatic parameter tuning of stream processing systems. SoCC (2017)
Waleed Reda, Marco Canini, P. Lalith Suresh, Dejan Kostic, Sean Braithwaite
Rein: Taming Tail Latency in Key-Value Stores via Multiget Scheduling. EuroSys (2017)
Marco Canini, Iosif Salem, Liron Schiff, Elad Michael Schiller, Stefan Schmid
Renaissance: Self-Stabilizing Distributed SDN Control Plane. CoRR (2017)
Amedeo Sapio, Ibrahim Abdelaziz, Marco Canini, Panos Kalnis
DAIET: a system for data aggregation inside the network. SoCC (2017)
Leonid Ryzhyk, Nikolaj Bjørner, Marco Canini, Jean-Baptiste Jeannin, Cole Schlesinger, Douglas B. Terry, George Varghese
Correct by Construction Networks Using Stepwise Refinement. NSDI (2017)
Lalith Suresh, Peter Bodík, Ishai Menache, Marco Canini, Florin Ciucu
Distributed resource management across process boundaries. SoCC (2017)
Thanh Dang Nguyen, Marco Chiesa, Marco Canini
Decentralized Consistent Updates in SDN. SOSR (2017)
Marco Canini, Iosif Salem, Liron Schiff, Elad Michael Schiller, Stefan Schmid
A Self-Organizing Distributed and In-Band SDN Control Plane. ICDCS (2017)
Marco Chiesa, Daniel Demmler, Marco Canini, Michael Schapira, Thomas Schneider
SIXPACK: Securing Internet eXchange Points Against Curious onlooKers. CoNEXT (2017)
Gianni Antichi, Ignacio Castro, Marco Chiesa, Eder Leão Fernandes, Remy Lapeyrade, Daniel Kopp, Jong Hun Han, Marc Bruyere, Christoph Dietzel, Mitchell Gusat, Andrew W. Moore, Philippe Owezarski, Steve Uhlig, Marco Canini
ENDEAVOUR: A Scalable SDN Architecture For Real-World IXPs. IEEE J. Sel. Areas Commun. 35 (11) (2017)
Zhenyu Zhou, Theophilus Benson, Marco Canini, Balakrishnan Chandrasekaran
Delorean: Using Time Travel to Avoid Bugs and Failures in SDN Applications. SOSR (2017)
Arnaud Dethise, Marco Chiesa, Marco Canini
Privacy-Preserving Detection of Inter-Domain SDN Rules Overlaps. SIGCOMM Posters and Demos (2017)
Marco Canini, Jon Crowcroft
Learning Reproducibility with a Yearly Networking Contest. Reproducibility@SIGCOMM (2017)
Amedeo Sapio, Ibrahim Abdelaziz, Abdulla Aldilaijan, Marco Canini, Panos Kalnis
In-Network Computation is a Dumb Idea Whose Time Has Come. HotNets (2017)
Nikolaj Bjørner, Marco Canini, Nik Sultana
Report on Networking and Programming Languages 2017. Comput. Commun. Rev. 47 (5) (2017)
Thanh Dang Nguyen, Marco Chiesa, Marco Canini
Decentralized Consistent Network Updates in SDN with ez-Segway. CoRR (2017)
Arpit Gupta, Rob Harrison, Ankita Pawar, Rüdiger Birkner, Marco Canini, Nick Feamster, Jennifer Rexford, Walter Willinger
Sonata: Query-Driven Network Telemetry. CoRR (2017)
Arpit Gupta, Rüdiger Birkner, Marco Canini, Nick Feamster, Chris Mac-Stoker, Walter Willinger
Network Monitoring as a Streaming Analytics Problem. HotNets (2016)
Arpit Gupta, Robert MacDavid, Rüdiger Birkner, Marco Canini, Nick Feamster, Jennifer Rexford, Laurent Vanbever
An Industrial-Scale Software Defined Internet Exchange Point. NSDI (2016)
Huynh Tu Dang, Marco Canini, Fernando Pedone, Robert Soulé
Paxos Made Switch-y. Comput. Commun. Rev. 46 (2) (2016)
Arpit Gupta, Robert MacDavid, Rüdiger Birkner, Marco Canini, Nick Feamster, Jennifer Rexford, Laurent Vanbever
An Industrial-Scale Software Defined Internet Exchange Point. USENIX Annual Technical Conference (2016)
Marco Chiesa, Daniel Demmler, Marco Canini, Michael Schapira, Thomas Schneider
Towards Securing Internet eXchange Points Against Curious onlooKers. ANRW (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marco Canini