Marco Canini - RankMe

173 papers A* 21A 14B 5C 1Misc 10Journal 62Unranked 60

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient and Adaptable Detection of Malicious LLM Prompts via Bootstrap Aggregation. CoRR Shayan Ali Hassan, Tao Ni, Zafar Ayyub Qazi, Marco Canini
2026	J	`jnl`	FOCUS: DLLMs Know How to Tame Their Compute Bound. CoRR Kaihua Liang, Xin Tan, An Zhong, Hong Xu, Marco Canini
2026	J	`jnl`	MAESTRO: Multi-Agent Evaluation Suite for Testing, Reliability, and Observability. CoRR Tie Ma, Yixi Chen, Vaastav Anand, Alessandro Cornacchia, Amândio R. Faustino, Guanheng Liu, Shan Zhang, Hongbin Luo, Suhaib A. Fahmy, Zafar Qazi, Marco Canini
2026	J	`jnl`	Nonparametric Teaching of Attention Learners. CoRR Chen Zhang, Jianghui Wang, Bingyang Cheng, Zhongtao Chen, Wendong Xu, Cong Wang, Marco Canini, Francesco Orabona, Yik Chung Wu, Ngai Wong
2026	J	`jnl`	RAP: KV-Cache Compression via RoPE-Aligned Pruning. CoRR Jihao Xin, Tian Lyu, David E. Keyes, Hatem Ltaief, Marco Canini
2026	A	`conf`	Reducing the GPU Memory Bottleneck with Lossless Compression for ML. EuroSys Aditya K. Kamath, Arvind Krishnamurthy, Marco Canini, Simon Peter
2026	—	`conf`	Why Smaller Is Slower? Dimensional Misalignment in Compressed LLMs. EuroMLSys@EuroSys Jihao Xin, Tian Lyu, Qilong Pan, Kesen Wang, Marco Canini
2025	J	`jnl`	A Network Arena for Benchmarking AI Agents on Network Troubleshooting. CoRR Zhihao Wang, Alessandro Cornacchia, Alessio Sacco, Franco Galante, Marco Canini, Dingde Jiang
2025	A*	`conf`	ACING: Actor-Critic for Instruction Learning in Black-Box LLMs. EMNLP Salma Kharrat, Fares Fourati, Marco Canini
2025	A*	`conf`	Assassyn: A Unified Abstraction for Architectural Simulation and Implementation. ISCA Jian Weng, Boyang Han, Derui Gao, Ruijie Gao, Wanning Zhang, An Zhong, Ceyu Xu, Jihao Xin, Yangzhixin Luo, Lisa Wu Wills, Marco Canini
2025	—	`conf`	Between Promise and Pain: The Reality of Automating Failure Analysis in Microservices with LLMs. APSys Alessandro Cornacchia, Iliyas Alabdulaal, Ibraheem Saghier, Albaraa Mirdad, Omar Fayoumi, Marco Canini
2025	—	`conf`	Cloud abstractions for AI workloads. APSys Marco Canini, Theophilus A. Benson, Ricardo Bianchini, Íñigo Goiri, Dejan Kostic, Peter R. Pietzuch, Simon Peter
2025	J	`jnl`	DMAS-Forge: A Framework for Transparent Deployment of AI Applications as Distributed Systems. CoRR Alessandro Cornacchia, Vaastav Anand, Muhammad Bilal, Zafar Qazi, Marco Canini
2025	A	`conf`	DPFL: Decentralized Personalized Federated Learning. AISTATS Salma Kharrat, Marco Canini, Samuel Horváth
2025	—	`conf`	FPGAs Are the Hero In-Network Computing Needs. APSys Suhaib A. Fahmy, Ziyi Yang, Yixi Chen, Gustavo Alonso, Zsolt István, Marco Canini
2025	—	`conf`	Global-QSGD: Allreduce-Compatible Quantization for Distributed Learning with Theoretical Guarantees. EuroMLSys Jihao Xin, Marco Canini, Peter Richtárik, Samuel Horváth
2025	J	`jnl`	OffRAC: Offloading Through Remote Accelerator Calls. CoRR Ziyi Yang, Krishnan B. Iyer, Yixi Chen, Ran Shu, Zsolt István, Marco Canini, Suhaib A. Fahmy
2025	—	`conf`	OptimusNIC: Offloading Optimizer State to SmartNICs for Efficient Large-Scale AI Training. EuroMLSys Achref Rebai, Marco Canini
2025	A	`conf`	Quantize Once, Train Fast: Allreduce-Compatible Compression with Provable Guarantees. ECAI Jihao Xin, Marco Canini, Peter Richtárik, Samuel Horváth
2025	A*	`conf`	Query-based Knowledge Transfer for Heterogeneous Learning Environments. ICLR Norah Alballa, Wenxuan Zhang, Ziquan Liu, Ahmed M. Abdelmoniem, Mohamed Elhoseiny, Marco Canini
2025	J	`jnl`	Query-based Knowledge Transfer for Heterogeneous Learning Environments. CoRR Norah Alballa, Wenxuan Zhang, Ziquan Liu, Ahmed M. Abdelmoniem, Mohamed Elhoseiny, Marco Canini
2025	J	`jnl`	Rethinking cloud abstractions for tenant-provider cooperative optimization of AI workloads. CoRR Marco Canini, Ricardo Bianchini, Íñigo Goiri, Dejan Kostic, Peter R. Pietzuch
2025	J	`jnl`	Review and Comparative Evaluation of Resource-Adaptive Collaborative Training for Heterogeneous Edge Devices. ACM Trans. Model. Perform. Evaluation Comput. Syst. Boris Radovic, Marco Canini, Veljko Pejovic
2025	A*	`conf`	Scaling SCIERA: A Journey Through the Deployment of a Next-generation Network. SIGCOMM François Wirz, Marten Gartner, Jelte van Bommel, Elham Ehsani Moghadam, Grace H. Cimaszewski, Anxiao He, Yizhe Zhang, Henry Birge-Lee, Felix Kottmann, Cyrill Krähenbühl, Jonghoon Kwon, Kyveli Mavromati, Liang Wang, Daniel Bertolo, Marco Canini, Buseung Cho, Ronaldo A. Ferreira, Simon Peter Green, David Hausheer, Junbeom Hur, Xiaohua Jia, Heejo Lee, Prateek Mittal, Omo Oaiya, Chanjin Park, Adrian Perrig, Jerry Sobieski, Yixin Sun, Cong Wang, Klaas Wierenga
2025	J	`jnl`	Toward an AI-Native Internet: Rethinking the Web Architecture for Semantic Retrieval. CoRR Muhammad Bilal, Zafar Qazi, Marco Canini
2025	—	`conf`	Towards a Unified Framework for Split Learning. EuroMLSys Boris Radovic, Marco Canini, Samuel Horváth, Veljko Pejovic, Praneeth Vepakomma
2025	J	`jnl`	When Fewer Layers Break More Chains: Layer Pruning Harms Test-Time Scaling in LLMs. CoRR Keyu Wang, Tian Lyu, Guinan Su, Jonas Geiping, Lu Yin, Marco Canini, Shiwei Liu
2024	J	`jnl`	ACING: Actor-Critic for Instruction Learning in Black-Box Large Language Models. CoRR Salma Kharrat, Fares Fourati, Marco Canini
2024	A*	`conf`	Continuous Exact Explanations of Neural Networks. ICDM Alice Dethise, Marco Canini
2024	J	`jnl`	Decentralized Personalized Federated Learning. CoRR Salma Kharrat, Marco Canini, Samuel Horváth
2024	A	`conf`	FilFL: Client Filtering for Optimized Client Participation in Federated Learning. ECAI Fares Fourati, Salma Kharrat, Vaneet Aggarwal, Mohamed-Slim Alouini, Marco Canini
2024	J	`jnl`	Flashback: Understanding and Mitigating Forgetting in Federated Learning. CoRR Mohammed Aljahdali, Ahmed M. Abdelmoniem, Marco Canini, Samuel Horváth
2024	—	`conf`	OmNICCL: Zero-cost Sparse AllReduce with Direct Cache Access and SmartNICs. NAIC Tongzhou Gu, Jiawei Fei, Marco Canini
2024	J	`jnl`	Practical Insights into Knowledge Distillation for Pre-Trained Models. CoRR Norah Alballa, Marco Canini
2024	—	`conf`	Proof-of-Concept of a Flexible and High-Fidelity Approach to Distributed DNN Training Emulation. NAIC Banruo Liu, Mubarak Adetunji Ojewale, Yuhan Ding, Marco Canini
2024	J	`jnl`	Protecting Confidentiality, Privacy and Integrity in Collaborative Learning. CoRR Dong Chen, Alice Dethise, Istemi Ekin Akkus, Ivica Rimac, Klaus Satzke, Antti Koskela, Marco Canini, Wei Wang, Ruichuan Chen
2024	—	`conf`	SqueezeNIC: Low-Latency In-NIC Compression for Distributed Deep Learning. NAIC Achref Rebai, Mubarak Adetunji Ojewale, Anees Ullah, Marco Canini, Suhaib A. Fahmy
2024	—	`conf`	Towards LLM-Assisted System Testing for Microservices. ICDCSW Mustafa Almutawa, Qusai Ghabrah, Marco Canini
2024	—	`conf`	Towards a Flexible and High-Fidelity Approach to Distributed DNN Training Emulation. APSys Banruo Liu, Mubarak Adetunji Ojewale, Yuhan Ding, Marco Canini
2024	J	`jnl`	Towards a Flexible and High-Fidelity Approach to Distributed DNN Training Emulation. CoRR Banruo Liu, Mubarak Adetunji Ojewale, Yuhan Ding, Marco Canini
2024	Misc	`conf`	Where is the Testbed for My Federated Learning Research? SEC Janez Bozic, Amândio R. Faustino, Boris Radovic, Marco Canini, Veljko Pejovic
2024	J	`jnl`	Where is the Testbed for my Federated Learning Research? CoRR Janez Bozic, Amândio Faustino, Boris Radovic, Marco Canini, Veljko Pejovic
2023	J	`jnl`	A Comprehensive Empirical Study of Heterogeneity in Federated Learning. IEEE Internet Things J. Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Marco Canini
2023	—	`conf`	A First Look at the Impact of Distillation Hyper-Parameters in Federated Knowledge Distillation. EuroMLSys@EuroSys Norah Alballa, Marco Canini
2023	J	`jnl`	FilFL: Accelerating Federated Learning via Client Filtering. CoRR Fares Fourati, Salma Kharrat, Vaneet Aggarwal, Mohamed-Slim Alouini, Marco Canini
2023	J	`jnl`	Global-QSGD: Practical Floatless Quantization for Distributed Learning with Theoretical Guarantees. CoRR Jihao Xin, Marco Canini, Peter Richtárik, Samuel Horváth
2023	—	`conf`	In-Network Aggregation with Transport Transparency for Distributed Training. ASPLOS (3) Shuo Liu, Qiaoling Wang, Junyi Zhang, Wenfei Wu, Qinliang Lin, Yao Liu, Meng Xu, Marco Canini, Ray C. C. Cheung, Jianfei He
2023	—	`conf`	Kimad: Adaptive Gradient Compression with Bandwidth Awareness. DistributedML@CoNEXT Jihao Xin, Ivan Ilin, Shunkang Zhang, Marco Canini, Peter Richtárik
2023	J	`jnl`	Kimad: Adaptive Gradient Compression with Bandwidth Awareness. CoRR Jihao Xin, Ivan Ilin, Shunkang Zhang, Marco Canini, Peter Richtárik
2023	—	`conf`	MicroView: Cloud-Native Observability with Temporal Precision. StudentWorkshop@CoNEXT Alessandro Cornacchia, Theophilus A. Benson, Muhammad Bilal, Marco Canini
2023	—	`conf`	On Detecting Biased Predictions with Post-hoc Explanation Methods. SAFE@CoNEXT Matteo Ruggeri, Alice Dethise, Marco Canini
2023	A	`conf`	REFL: Resource-Efficient Federated Learning. EuroSys Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy
2023	—	`conf`	SAGE: Software-based Attestation for GPU Execution. USENIX ATC Andrei Ivanov, Benjamin Rothenberger, Arnaud Dethise, Marco Canini, Torsten Hoefler, Adrian Perrig
2023	A*	`conf`	TENSOR: Lightweight BGP Non-Stop Routing. SIGCOMM Congcong Miao, Yunming Xiao, Marco Canini, Ruiqiang Dai, Shengli Zheng, Jilong Wang, Jiwu Bu, Aleksandar Kuzmanovic, Yachen Wang
2023	A	`conf`	With Great Freedom Comes Great Opportunity: Rethinking Resource Allocation for Serverless Functions. EuroSys Muhammad Bilal, Marco Canini, Rodrigo Fonseca, Rodrigo Rodrigues
2022	J	`jnl`	Direct nonlinear acceleration. EURO J. Comput. Optim. Aritra Dutta, El Houcine Bergou, Yunming Xiao, Marco Canini, Peter Richtárik
2022	—	`conf`	Empirical analysis of federated learning in heterogeneous environments. EuroMLSys@EuroSys Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Marco Canini
2022	—	`conf`	Natural Compression for Distributed Deep Learning. MSML Samuel Horváth, Chen-Yu Ho, Ludovit Horvath, Atal Narayan Sahu, Marco Canini, Peter Richtárik
2022	Misc	`conf`	RDMA is Turing complete, we just did not know it yet! NSDI Waleed Reda, Marco Canini, Dejan Kostic, Simon Peter
2022	J	`jnl`	SAGE: Software-based Attestation for GPU Execution. CoRR Andrei Ivanov, Benjamin Rothenberger, Arnaud Dethise, Marco Canini, Torsten Hoefler, Adrian Perrig
2022	Misc	`conf`	Unlocking the Power of Inline Floating-Point Operations on Programmable Switches. NSDI Yifan Yuan, Omar Alama, Jiawei Fei, Jacob Nelson, Dan R. K. Ports, Amedeo Sapio, Marco Canini, Nam Sung Kim
2021	—	`conf`	An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems. MLSys Ahmed M. Abdelmoniem, Ahmed Elzanaty, Mohamed-Slim Alouini, Marco Canini
2021	J	`jnl`	An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems. CoRR Ahmed M. Abdelmoniem, Ahmed Elzanaty, Mohamed-Slim Alouini, Marco Canini
2021	A*	`conf`	Analyzing Learning-Based Networked Systems with Formal Verification. INFOCOM Arnaud Dethise, Marco Canini, Nina Narodytska
2021	A*	`conf`	AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly. ICLR Yuchen Jin, Tianyi Zhou, Liangyu Zhao, Yibo Zhu, Chuanxiong Guo, Marco Canini, Arvind Krishnamurthy
2021	J	`jnl`	AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly. CoRR Yuchen Jin, Tianyi Zhou, Liangyu Zhao, Yibo Zhu, Chuanxiong Guo, Marco Canini, Arvind Krishnamurthy
2021	A*	`conf`	DC2: Delay-aware Compression Control for Distributed Machine Learning. INFOCOM Ahmed M. Abdelmoniem, Marco Canini
2021	A*	`conf`	Efficient sparse collective communication and its application to accelerate distributed deep learning. SIGCOMM Jiawei Fei, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Amedeo Sapio
2021	A	`conf`	GRACE: A Compressed Communication Framework for Distributed Machine Learning. ICDCS Hang Xu, Chen-Yu Ho, Ahmed M. Abdelmoniem, Aritra Dutta, El Houcine Bergou, Konstantinos Karatsenidis, Marco Canini, Panos Kalnis
2021	A*	`conf`	LineFS: Efficient SmartNIC Offload of a Distributed File System with Pipeline Parallelism. SOSP Jongyul Kim, Insu Jang, Waleed Reda, Jaeseong Im, Marco Canini, Dejan Kostic, Youngjin Kwon, Simon Peter, Emmett Witchel
2021	J	`jnl`	On the Impact of Device and Behavioral Heterogeneity in Federated Learning. CoRR Ahmed M. Abdelmoniem, Chen-Yu Ho, Pantelis Papageorgiou, Muhammad Bilal, Marco Canini
2021	J	`jnl`	RDMA is Turing complete, we just did not know it yet! CoRR Waleed Reda, Marco Canini, Dejan Kostic, Simon Peter
2021	J	`jnl`	Resource-Efficient Federated Learning. CoRR Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy
2021	A*	`conf`	Rethinking gradient sparsification as total error minimization. NeurIPS Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis
2021	J	`jnl`	Rethinking gradient sparsification as total error minimization. CoRR Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis
2021	Misc	`conf`	Scaling Distributed Machine Learning with In-Network Aggregation. NSDI Amedeo Sapio, Marco Canini, Chen-Yu Ho, Jacob Nelson, Panos Kalnis, Changhoon Kim, Arvind Krishnamurthy, Masoud Moshref, Dan R. K. Ports, Peter Richtárik
2021	—	`conf`	Tardis: A Fault-Tolerant Design for Network Control Planes. SOSR Zhenyu Zhou, Theophilus A. Benson, Marco Canini, Balakrishnan Chandrasekaran
2021	—	`conf`	Towards Mitigating Device Heterogeneity in Federated Learning via Adaptive Model Quantization. EuroMLSys@EuroSys Ahmed M. Abdelmoniem, Marco Canini
2021	J	`jnl`	Unlocking the Power of Inline Floating-Point Operations on Programmable Switches. CoRR Yifan Yuan, Omar Alama, Amedeo Sapio, Jiawei Fei, Jacob Nelson, Dan R. K. Ports, Marco Canini, Nam Sung Kim
2021	J	`jnl`	With Great Freedom Comes Great Opportunity: Rethinking Resource Allocation for Serverless Functions. CoRR Muhammad Bilal, Marco Canini, Rodrigo Fonseca, Rodrigo Rodrigues
2020	J	`jnl`	A survey on the current internet interconnection practices. Comput. Commun. Rev. Pedro de B. Marcos, Marco Chiesa, Christoph Dietzel, Marco Canini, Marinho P. Barcellos
2020	A*	`conf`	Assise: Performance and Availability via Client-local NVM in a Distributed File System. OSDI Thomas E. Anderson, Marco Canini, Jongyul Kim, Dejan Kostic, Youngjin Kwon, Simon Peter, Waleed Reda, Henry N. Schuh, Emmett Witchel
2020	J	`jnl`	Do the Best Cloud Configurations Grow on Trees? An Experimental Evaluation of Black Box Algorithms for Optimizing Cloud Workloads Sub. Proc. VLDB Endow. Muhammad Bilal, Marco Serafini, Marco Canini, Rodrigo Rodrigues
2020	—	`conf`	Finding the right cloud configuration for analytics clusters. SoCC Muhammad Bilal, Marco Canini, Rodrigo Rodrigues
2020	—	`conf`	Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning. DistributedML@CoNEXT Rishikesh R. Gajjala, Shashwat Banchhor, Ahmed M. Abdelmoniem, Aritra Dutta, Marco Canini, Panos Kalnis
2020	A*	`conf`	On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. AAAI Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis
2020	J	`jnl`	P4xos: Consensus as a Network Service. IEEE/ACM Trans. Netw. Huynh Tu Dang, Pietro Bressana, Han Wang, Ki Suh Lee, Noa Zilberman, Hakim Weatherspoon, Marco Canini, Fernando Pedone, Robert Soulé
2020	J	`jnl`	Toward Consistent SDNs: A Case for Network State Fuzzing. IEEE Trans. Netw. Serv. Manag. Apoorv Shukla, Said Jawad Saidi, Stefan Schmid, Marco Canini, Thomas Zinner, Anja Feldmann
2019	J	`jnl`	Assise: Performance and Availability via NVM Colocation in a Distributed File System. CoRR Thomas E. Anderson, Marco Canini, Jongyul Kim, Dejan Kostic, Youngjin Kwon, Simon Peter, Waleed Reda, Henry N. Schuh, Emmett Witchel
2019	J	`jnl`	Consistent SDNs through Network State Fuzzing. CoRR Apoorv Shukla, Said Jawad Saidi, Stefan Schmid, Marco Canini, Thomas Zinner, Anja Feldmann
2019	—	`conf`	Cracking Open the Black Box: What Observations Can Tell Us About Reinforcement Learning Agents. NetAI@SIGCOMM Arnaud Dethise, Marco Canini, Srikanth Kandula
2019	J	`jnl`	Direct Nonlinear Acceleration. CoRR Aritra Dutta, El Houcine Bergou, Yunming Xiao, Marco Canini, Peter Richtárik
2019	A*	`conf`	Measurements As First-class Artifacts. INFOCOM Paolo Laffranchini, Luís E. T. Rodrigues, Marco Canini, Balachander Krishnamurthy
2019	J	`jnl`	Measurements As First-class Artifacts. CoRR Paolo Laffranchini, Luís E. T. Rodrigues, Marco Canini, Balachander Krishnamurthy
2019	J	`jnl`	Natural Compression for Distributed Deep Learning. CoRR Samuel Horváth, Chen-Yu Ho, Ludovit Horvath, Atal Narayan Sahu, Marco Canini, Peter Richtárik
2019	J	`jnl`	On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. CoRR Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis
2019	J	`jnl`	Partitioned Paxos via the Network Data Plane. CoRR Huynh Tu Dang, Pietro Bressana, Han Wang, Ki Suh Lee, Noa Zilberman, Hakim Weatherspoon, Marco Canini, Fernando Pedone, Robert Soulé
2019	J	`jnl`	Scaling Distributed Machine Learning with In-Network Aggregation. CoRR Amedeo Sapio, Marco Canini, Chen-Yu Ho, Jacob Nelson, Panos Kalnis, Changhoon Kim, Arvind Krishnamurthy, Masoud Moshref, Dan R. K. Ports, Peter Richtárik
2018	—	`conf`	Dynam-IX: a Dynamic Interconnection eXchange. SIGCOMM Posters and Demos Pedro de B. Marcos, Marco Chiesa, Lucas F. Müller, Pradeeban Kathiravelu, Christoph Dietzel, Marco Canini, Marinho P. Barcellos
2018	—	`conf`	Dynam-IX: a Dynamic Interconnection exchange. ANRW Pedro de B. Marcos, Marco Chiesa, Lucas F. Müller, Pradeeban Kathiravelu, Christoph Dietzel, Marco Canini, Marinho P. Barcellos
2018	A	`conf`	Dynam-IX: a dynamic interconnection eXchange. CoNEXT Pedro de B. Marcos, Marco Chiesa, Lucas F. Müller, Pradeeban Kathiravelu, Christoph Dietzel, Marco Canini, Marinho P. Barcellos
2018	—	`conf`	Fast and Accurate Load Balancing for Geo-Distributed Storage Systems. SoCC Kirill Bogdanov, Waleed Reda, Gerald Q. Maguire Jr., Dejan Kostic, Marco Canini
2018	J	`jnl`	Methodology, measurement and analysis of flow table update characteristics in hardware openflow switches. Comput. Networks Maciej Kuzniar, Peter Peresíni, Dejan Kostic, Marco Canini
2018	—	`conf`	Mitigating Network Side Channel Leakage for Stream Processing Systems in Trusted Execution Environments. DEBS Muhammad Bilal, Hassan Alsibyani, Marco Canini
2018	B	`conf`	Moving Bits with a Fleet of Shared Virtual Routers. Networking Pradeeban Kathiravelu, Marco Chiesa, Pedro de B. Marcos, Marco Canini, Luís Veiga
2018	—	`conf`	Picking a Partner: A Fair Blockchain Based Scoring Protocol for Autonomous Systems. ANRW Yousef Alowayed, Marco Canini, Pedro de B. Marcos, Marco Chiesa, Marinho P. Barcellos
2018	—	`conf`	Prelude: Ensuring Inter-Domain Loop-Freedom in SDN-Enabled Networks. APNet Arnaud Dethise, Marco Chiesa, Marco Canini
2018	J	`jnl`	Prelude: Ensuring Inter-Domain Loop-Freedom in~SDN-Enabled Networks. CoRR Arnaud Dethise, Marco Chiesa, Marco Canini
2018	A	`conf`	Renaissance: A Self-Stabilizing Distributed SDN Control Plane. ICDCS Marco Canini, Iosif Salem, Liron Schiff, Elad Michael Schiller, Stefan Schmid
2018	A*	`conf`	Sonata: query-driven streaming network telemetry. SIGCOMM Arpit Gupta, Rob Harrison, Marco Canini, Nick Feamster, Jennifer Rexford, Walter Willinger
2017	A	`conf`	A Self-Organizing Distributed and In-Band SDN Control Plane. ICDCS Marco Canini, Iosif Salem, Liron Schiff, Elad Michael Schiller, Stefan Schmid
2017	Misc	`conf`	Correct by Construction Networks Using Stepwise Refinement. NSDI Leonid Ryzhyk, Nikolaj S. Bjørner, Marco Canini, Jean-Baptiste Jeannin, Cole Schlesinger, Douglas B. Terry, George Varghese
2017	—	`conf`	DAIET: a system for data aggregation inside the network. SoCC Amedeo Sapio, Ibrahim Abdelaziz, Marco Canini, Panos Kalnis
2017	J	`jnl`	Decentralized Consistent Network Updates in SDN with ez-Segway. CoRR Thanh Dang Nguyen, Marco Chiesa, Marco Canini
2017	—	`conf`	Decentralized Consistent Updates in SDN. SOSR Thanh Dang Nguyen, Marco Chiesa, Marco Canini
2017	—	`conf`	Delorean: Using Time Travel to Avoid Bugs and Failures in SDN Applications. SOSR Zhenyu Zhou, Theophilus Benson, Marco Canini, Balakrishnan Chandrasekaran
2017	—	`conf`	Distributed resource management across process boundaries. SoCC Lalith Suresh, Peter Bodík, Ishai Menache, Marco Canini, Florin Ciucu
2017	J	`jnl`	ENDEAVOUR: A Scalable SDN Architecture For Real-World IXPs. IEEE J. Sel. Areas Commun. 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
2017	Misc	`conf`	In-Network Computation is a Dumb Idea Whose Time Has Come. HotNets Amedeo Sapio, Ibrahim Abdelaziz, Abdulla Aldilaijan, Marco Canini, Panos Kalnis
2017	—	`conf`	Learning Reproducibility with a Yearly Networking Contest. Reproducibility@SIGCOMM Marco Canini, Jon Crowcroft
2017	—	`conf`	Privacy-Preserving Detection of Inter-Domain SDN Rules Overlaps. SIGCOMM Posters and Demos Arnaud Dethise, Marco Chiesa, Marco Canini
2017	A	`conf`	Rein: Taming Tail Latency in Key-Value Stores via Multiget Scheduling. EuroSys Waleed Reda, Marco Canini, P. Lalith Suresh, Dejan Kostic, Sean Braithwaite
2017	J	`jnl`	Renaissance: Self-Stabilizing Distributed SDN Control Plane. CoRR Marco Canini, Iosif Salem, Liron Schiff, Elad Michael Schiller, Stefan Schmid
2017	J	`jnl`	Report on Networking and Programming Languages 2017. Comput. Commun. Rev. Nikolaj S. Bjørner, Marco Canini, Nik Sultana
2017	A	`conf`	SIXPACK: Securing Internet eXchange Points Against Curious onlooKers. CoNEXT Marco Chiesa, Daniel Demmler, Marco Canini, Michael Schapira, Thomas Schneider
2017	J	`jnl`	Sonata: Query-Driven Network Telemetry. CoRR Arpit Gupta, Rob Harrison, Ankita Pawar, Rüdiger Birkner, Marco Canini, Nick Feamster, Jennifer Rexford, Walter Willinger
2017	—	`conf`	Towards automatic parameter tuning of stream processing systems. SoCC Muhammad Bilal, Marco Canini
2016	Misc	`conf`	An Industrial-Scale Software Defined Internet Exchange Point. NSDI Arpit Gupta, Robert MacDavid, Rüdiger Birkner, Marco Canini, Nick Feamster, Jennifer Rexford, Laurent Vanbever
2016	—	`conf`	An Industrial-Scale Software Defined Internet Exchange Point. USENIX ATC Arpit Gupta, Robert MacDavid, Rüdiger Birkner, Marco Canini, Nick Feamster, Jennifer Rexford, Laurent Vanbever
2016	—	`conf`	Ground Control to Major Faults: Towards a Fault Tolerant and Adaptive SDN Control Network. DSN Workshops Liron Schiff, Stefan Schmid, Marco Canini
2016	J	`jnl`	Inter-domain networking innovation on steroids: empowering ixps with SDN capabilities. IEEE Commun. Mag. Marco Chiesa, Christoph Dietzel, Gianni Antichi, Marc Bruyere, Ignacio Castro, Mitch Gusat, Thomas King, Andrew W. Moore, Thanh Dang Nguyen, Philippe Owezarski, Steve Uhlig, Marco Canini
2016	J	`jnl`	Network Hardware-Accelerated Consensus. CoRR Huynh Tu Dang, Pietro Bressana, Han Wang, Ki Suh Lee, Hakim Weatherspoon, Marco Canini, Fernando Pedone, Robert Soulé
2016	Misc	`conf`	Network Monitoring as a Streaming Analytics Problem. HotNets Arpit Gupta, Rüdiger Birkner, Marco Canini, Nick Feamster, Chris Mac-Stoker, Walter Willinger
2016	J	`jnl`	Paxos Made Switch-y. Comput. Commun. Rev. Huynh Tu Dang, Marco Canini, Fernando Pedone, Robert Soulé
2016	—	`conf`	Scheduling multi-flow network updates in Software-Defined NFV systems. INFOCOM Workshops Yujie Liu, Yong Li, Marco Canini, Yue Wang, Jian Yuan
2016	—	`conf`	Towards Decentralized Fast Consistent Updates. ANRW Thanh Dang Nguyen, Marco Chiesa, Marco Canini
2016	—	`conf`	Towards Securing Internet eXchange Points Against Curious onlooKers. ANRW Marco Chiesa, Daniel Demmler, Marco Canini, Michael Schapira, Thomas Schneider
2015	A*	`conf`	A distributed and robust SDN control plane for transactional network updates. INFOCOM Marco Canini, Petr Kuznetsov, Dan Levin, Stefan Schmid
2015	A*	`conf`	BRB: BetteR Batch Scheduling to Reduce Tail Latencies in Cloud Data Stores. SIGCOMM Waleed Reda, P. Lalith Suresh, Marco Canini, Sean Braithwaite
2015	Misc	`conf`	C3: Cutting Tail Latency in Cloud Data Stores via Adaptive Replica Selection. NSDI P. Lalith Suresh, Marco Canini, Stefan Schmid, Anja Feldmann
2015	—	`conf`	NetPaxos: consensus at network speed. SOSR Huynh Tu Dang, Daniele Sciascia, Marco Canini, Fernando Pedone, Robert Soulé
2015	J	`jnl`	Paxos Made Switch-y. CoRR Huynh Tu Dang, Marco Canini, Fernando Pedone, Robert Soulé
2015	J	`jnl`	Systematically testing OpenFlow controller applications. Comput. Networks Peter Peresíni, Maciej Kuzniar, Marco Canini, Daniele Venzano, Dejan Kostic, Jennifer Rexford
2014	—	`conf`	ESPRES: Easy Scheduling and Prioritization for SDN. ONS Peter Peresíni, Maciej Kuzniar, Marco Canini, Dejan Kostic
2014	—	`conf`	ESPRES: transparent SDN update scheduling. HotSDN Peter Peresíni, Maciej Kuzniar, Marco Canini, Dejan Kostic
2014	—	`conf`	Panopticon: Reaping the Benefits of Incremental SDN Deployment in Enterprise Networks. USENIX ATC Dan Levin, Marco Canini, Stefan Schmid, Fabian Schaffert, Anja Feldmann
2014	—	`conf`	SDLoad: an extensible framework for SDN workload generation. HotSDN Nicolas Laurent, Stefano Vissicchio, Marco Canini
2014	J	`jnl`	Software-Defined Networks: Incremental Deployment with Panopticon. Computer Marco Canini, Anja Feldmann, Dan Levin, Fabian Schaffert, Stefan Schmid
2014	J	`jnl`	The Software-Defined Network Revolution. ERCIM News Marco Canini, Raphaël M. Jungers
2013	J	`jnl`	A Distributed SDN Control Plane for Consistent Policy Updates. CoRR Marco Canini, Petr Kuznetsov, Dan Levin, Stefan Schmid
2013	—	`conf`	Automatic failure recovery for software-defined networks. HotSDN Maciej Kuzniar, Peter Peresíni, Nedeljko Vasic, Marco Canini, Dejan Kostic
2013	—	`conf`	FatTire: declarative fault tolerance for software-defined networks. HotSDN Mark Reitblatt, Marco Canini, Arjun Guha, Nate Foster
2013	A*	`conf`	Incremental SDN deployment in enterprise networks. SIGCOMM Dan Levin, Marco Canini, Stefan Schmid, Anja Feldmann
2013	—	`conf`	OF.CPP: consistent packet processing for openflow. HotSDN Peter Peresíni, Maciej Kuzniar, Nedeljko Vasic, Marco Canini, Dejan Kostic
2013	—	`conf`	Software transactional networking: concurrent and consistent policy composition. HotSDN Marco Canini, Petr Kuznetsov, Dan Levin, Stefan Schmid
2012	Misc	`conf`	A NICE Way to Test OpenFlow Applications. NSDI Marco Canini, Daniele Venzano, Peter Peresíni, Dejan Kostic, Jennifer Rexford
2012	A	`conf`	A SOFT way for openflow switch interoperability testing. CoNEXT Maciej Kuzniar, Peter Peresíni, Marco Canini, Daniele Venzano, Dejan Kostic
2012	—	`conf`	OFTEN Testing OpenFlow Networks. EWSDN Maciej Kuzniar, Marco Canini, Dejan Kostic
2011	B	`conf`	Evaluation and design of cache replacement policies under flooding attacks. IWCMC Martin Zádník, Marco Canini
2011	B	`conf`	Evolution of Cache Replacement Policies to Track Heavy-Hitter Flows. PAM Martin Zádník, Marco Canini
2011	B	`conf`	Finding Almost-Invariants in Distributed Systems. SRDS Maysam Yabandeh, Abhishek Anand, Marco Canini, Dejan Kostic
2011	A	`conf`	Identifying and using energy-critical paths. CoNEXT Nedeljko Vasic, Prateek Bhurat, Dejan M. Novakovic, Marco Canini, Satyam Shekhar, Dejan Kostic
2011	A*	`conf`	Insomnia in the access: or how to curb access network related energy consumption. SIGCOMM Eduard Goma Llairo, Marco Canini, Alberto López Toledo, Nikolaos Laoutaris, Dejan Kostic, Pablo Rodriguez, Rade Stanojevic, Pablo Yagüe Valentin
2011	—	`conf`	Is your OpenFlow application correct? StudentWorkshop@CoNEXT Peter Peresíni, Marco Canini
2011	A*	`conf`	Online testing of federated and heterogeneous distributed systems. SIGCOMM Marco Canini, Vojin Jovanovic, Daniele Venzano, Dejan M. Novakovic, Dejan Kostic
2011	—	`conf`	Toward Online Testing of Federated and Heterogeneous Distributed Systems. USENIX ATC Marco Canini, Vojin Jovanovic, Daniele Venzano, Boris Spasojevic, Olivier Crameri, Dejan Kostic
2010	—	`conf`	Evolution of cache replacement policies to track heavy-hitter flows. ANCS Martin Zádník, Marco Canini
2010	—	`conf`	Fault prediction in distributed systems gone wild. LADIS Marco Canini, Dejan M. Novakovic, Vojin Jovanovic, Dejan Kostic
2009	J	`jnl`	Efficient application identification and the temporal and spatial stability of classification schema. Comput. Networks Wei Li, Marco Canini, Andrew W. Moore, Raffaele Bolla
2009	—	`conf`	Experience with high-speed automated application-identification for network-management. ANCS Marco Canini, Wei Li, Martin Zádník, Andrew W. Moore
2009	—	`conf`	GTVS: Boosting the Collection of Application Traffic Ground Truth. TMA Marco Canini, Wei Li, Andrew W. Moore, Raffaele Bolla
2009	B	`conf`	Tracking elephant flows in internet backbone traffic with an FPGA-based cache. FPL Martin Zádník, Marco Canini, Andrew W. Moore, David J. Miller, Wei Li
2008	C	`conf`	On the Double-Faced Nature of P2P Traffic. PDP Raffaele Bolla, Marco Canini, Riccardo Rapuzzi, Michele Sciuto