EuroMLSys@EuroSys

Keyphrases

Publications

2023

Christoph Schulte, Sven Wagner, Armin Runge, Dimitrios Bariamis, Barbara Hammer
Best of both, Structured and Unstructured Sparsity in Neural Networks. EuroMLSys@EuroSys (2023)
Ehsan Yousefzadeh-Asl-Miandoab, Ties Robroek, Pinar Tözün
Profiling and Monitoring Deep Learning Training Tasks. EuroMLSys@EuroSys (2023)
Maximilian Böther, Foteini Strati, Viktor Gsteiger, Ana Klimovic
Towards A Platform and Benchmark Suite for Model Training on Dynamic Datasets. EuroMLSys@EuroSys (2023)
Akash Dhasade, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic
Decentralized Learning Made Easy with DecentralizePy. EuroMLSys@EuroSys (2023)
Georgia Christofidi, Konstantinos Papaioannou, Thaleia Dimitra Doudali
Toward Pattern-based Model Selection for Cloud Resource Forecasting. EuroMLSys@EuroSys (2023)
Andrei Paleyes, Neil David Lawrence
Causal fault localisation in dataflow systems. EuroMLSys@EuroSys (2023)
Norah Alballa, Marco Canini
A First Look at the Impact of Distillation Hyper-Parameters in Federated Knowledge Distillation. EuroMLSys@EuroSys (2023)
Ming-Chuan Wu, Manuel Bähr, Nils Braun, Katrin Honauer
Actionable Data Insights for Machine Learning. EuroMLSys@EuroSys (2023)
Ravi Kumar Singh, Mayank Mishra, Rekha Singhal
Accelerating Model Training: Performance Antipatterns Eliminator Framework. EuroMLSys@EuroSys (2023)
Theophilus A Benson
Illuminating the hidden challenges of data-driven CDNs. EuroMLSys@EuroSys (2023)
Luke Nicholas Darlow, Artjom Joosen, Martin Asenov, Qiwen Deng, Jianfeng Wang, Adam Barker
TSMix: time series data augmentation by mixing sources. EuroMLSys@EuroSys (2023)
Hongrui Shi, Valentin Radu, Po Yang
Distributed Training for Speech Recognition using Local Knowledge Aggregation and Knowledge Distillation in Heterogeneous Systems. EuroMLSys@EuroSys (2023)
Luke Nicholas Darlow, Artjom Joosen, Martin Asenov, Qiwen Deng, Jianfeng Wang, Adam Barker
FoldFormer: sequence folding and seasonal attention for fine-grained long-term FaaS forecasting. EuroMLSys@EuroSys (2023)
Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
Can Fair Federated Learning Reduce the need for Personalisation? EuroMLSys@EuroSys (2023)
Mehran Salmani, Saeid Ghafouri, Alireza Sanaee, Kamran Razavi, Max Mühlhäuser, Joseph Doyle, Pooyan Jamshidi, Mohsen Sharifi
Reconciling High Accuracy, Cost-Efficiency, and Low Latency of Inference Serving Systems. EuroMLSys@EuroSys (2023)
Guoliang He, Zak Singh, Eiko Yoneki
MCTS-GEB: Monte Carlo Tree Search is a Good E-graph Builder. EuroMLSys@EuroSys (2023)
Dongqi Cai, Yaozong Wu, Haitao Yuan, Shangguang Wang, Felix Xiaozhu Lin, Mengwei Xu
Towards Practical Few-shot Federated NLP. EuroMLSys@EuroSys (2023)
Muhammad Sabih, Mikail Yayla, Frank Hannig, Jürgen Teich, Jian-Jia Chen
Robust and Tiny Binary Neural Networks using Gradient-based Explainability Methods. EuroMLSys@EuroSys (2023)
Proceedings of the 3rd Workshop on Machine Learning and Systems, EuroMLSys 2023, Rome, Italy, 8 May 2023 EuroMLSys@EuroSys (2023)
Ousmane Touat, Sara Bouchenak
Towards Robust and Bias-free Federated Learning. EuroMLSys@EuroSys (2023)
Ravi Kumar Singh, Mayank Mishra, Rekha Singhal
Scalable High-Performance Architecture for Evolving Recommender System. EuroMLSys@EuroSys (2023)
Minh Tri Le, Julyan Arbel
TinyMLOps for real-time ultra-low power MCUs applied to frame-based event classification. EuroMLSys@EuroSys (2023)
Chenyang Ma, Xinchi Qiu, Daniel J. Beutel, Nicholas D. Lane
Gradient-less Federated Gradient Boosting Tree with Learnable Learning Rates. EuroMLSys@EuroSys (2023)

2022

2021