[CFP] EuroMLSys: Workshop on Machine Learning and Systems co-located with EuroSys '23
Eiko Yoneki
Paper submission deadline: March 10, 2023 (23:59 AoE)
************************* EuroMLSys 2023 Call for papers *****************
Workshop on Machine Learning and Systems (EuroMLSys) co-located with EuroSys '23, May 8th 2023, Rome, Italy
The EuroMLSys workshop focuses on research topics at the intersection of Machine Learning and Computer Systems.
Topics of interest include, but are not limited to, the following:
• Scheduling algorithms for data processing clusters
• ML Compiler Optimisation
• Custom hardware for machine learning
• Programming languages for machine learning
• Benchmarking systems (for machine learning algorithms)
• Synthetic input data generation for training
• Systems for training and serving machine learning models at scale
• Graph neural networks
• Neural network compression and pruning in systems
• Systems for incremental learning algorithms
• Large scale distributed learning algorithms in practice
• Database systems for large scale learning
• Model understanding tools (debugging, visualisation, etc.)
• Systems for model-free and model-based Reinforcement Learning
• Optimisation in end-to-end deep learning
• System optimisation using Bayesian Optimisation
• Acceleration of model building (e.g., imitation learning in RL)
• Use of probabilistic models in ML/AI application
• Learning models for inferring network attacks, device/service fingerprinting, congestion, etc.
• Techniques to collect and analyze network data in a privacy-preserving manner
• Learning models to capture network events and control actions
• Machine learning in networking (e.g., use of Deep RL in networking)
• Analysis of distributed ML algorithms
• Semantics for distributed ML languages
• Probabilistic modelling for distributed ML algorithms
• Synchronisation and state control of distributed ML algorithms
Accepted papers will be published in the ACM Digital Library (you can opt out from this).
[Key dates]
• Paper submission deadline: March 10, 2023 (23:59 AoE)
• Acceptance notification: April 10, 2023
• Final paper due: April 15, 2023
• Workshop: May 8, 2023 (full-day workshop)
[Submission]
Submissions will be up to 6 pages long, including figures, and tables, with 10-point font, in a two-column format. Bibliographic references are not included in the 6-page limit. Submitted papers must use the official SIGPLAN Latex / MS Word templates.
Submissions will be single-blind. Submit your paper at: https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Feuromlsys23.hotcrp.com%2Fpaper%2Fnew&data=05%7C01%7Ceiko.yoneki%40cl.cam.ac.uk%7C597994142d3f48cd539208db0ea45a62%7C49a50445bdfa4b79ade3547b4f3986e9%7C1%7C0%7C638119871267187845%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=mAyX8Prq%2B5mM0raAJmz0FgFb9nofBO0gTHg%2F5eciA5A%3D&reserved=0
[Committees]
Workshop and TPC Chairs
• Eiko Yoneki, University of Cambridge
• Luigi Nardi, Lund University/Stanford University
Technical Program Committee
• Aaron Zhao, Imperial College London
• Ahmed M. Abdelmoniem, Queen Mary University of London
• Alexandros Koliousis, Northeastern University London and Institute for Experiential AI
• Amir Payberah, KTH
• Amitabha Roy, Kumo.ai
• Chi Zhang, Brandeis University
• Daniel Goodman, Oracle
• Daniel Mendoza, Stanford University
• Davide Sanvito, NEC Laboratories Europe
• Dawei Li, Amazon
• Deepak George Thomas, Iowa State University
• Dimitris Chatzopoulos, University College Dublin
• Fiodar Kazhamiaka, Stanford University
• Guilherme H. Apostolo, Vrije Universiteit Amsterdam
• Guoliang He, University of Cambridge
• Hamed Haddadi, Imperial College London
• Jenny Huang, NVIDIA
• Jon Crowcroft, University of Cambridge
• Jose Cano, University of Glasgow
• Junru Shao, OctoML
• Keshav Santhanam, Stanford University
• Liang Zhang, TigerGraph
• Lianmin Zheng, UC Berkeley
• Mengying Zhou, Fudan University
• Nasrullah Sheikh, IBM Research Almaden
• Nikolas Ioannou, Google
• Paul Patras, University of Edinburgh
• Peter Pietzuch, Imperial College London
• Peter Triantafillou, University of Warwick
• Pouya Hamadanian, MIT
• Pratik Fegade , Google
• Qian Li, Stanford University
• Sam Ainsworth, University of Edinburgh
• Sami Alabed, University of Cambridge
• Shay Vargaftik, VMware Research
• Stefano Cereda, Politecnico di Milano
• Taiyi Wang, University of Cambridge
• Thaleia Dimitra Doudali, IMDEA
• Valentin Radu, University of Sheffield
• Veljko Pejovic, University of Ljubljana
• Xupeng Miao, Peking University
• Yaniv Ben-Itzhak, VMware Research
• Zheng Wang, University of Leeds
• Zhihao Jia, CMU
Web Chair
• Alexis Duque, Net AI