EuroMLSys@EuroSys

Keyphrases

Publications

2024

Diarmuid O'Reilly-Morgan, Elias Z. Tragos, James Geraci, Qinqin Wang, Neil Hurley, Barry Smyth, Aonghus Lawlor
A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy. EuroMLSys@EuroSys (2024)
Dejan Grubisic, Volker Seeker, Gabriel Synnaeve, Hugh Leather, John M. Mellor-Crummey, Chris Cummins
Priority Sampling of Large Language Models for Compilers. EuroMLSys@EuroSys (2024)
Foteini Strati, Paul Elvinger, Tolga Kerimoglu, Ana Klimovic
ML Training with Cloud GPU Shortages: Is Cross-Region the Answer? EuroMLSys@EuroSys (2024)
Connor Imes, Andrew Rittenbach, Peng Xie, Dong-In Kang, John Paul Walters, Stephen P. Crago
Evaluating Deep Learning Recommendation Model Training Scalability with the Dynamic Opera Network. EuroMLSys@EuroSys (2024)
Petru Neague, Marcel Gregoriadis, Johan Pouwelse
De-DSI: Decentralised Differentiable Search Index. EuroMLSys@EuroSys (2024)
Rahma Nouaji, Stella Bitchebe, Oana Balmau
SpeedyLoader: Efficient Pipelining of Data Preprocessing and Machine Learning Training. EuroMLSys@EuroSys (2024)
Yongjun He, Yao Lu, Gustavo Alonso
Deferred Continuous Batching in Resource-Efficient Large Language Model Serving. EuroMLSys@EuroSys (2024)
Yushan Huang, Josh Millar, Yuxuan Long, Yuchen Zhao, Hamed Haddadi
Towards Low-Energy Adaptive Personalization for Resource-Constrained Devices. EuroMLSys@EuroSys (2024)
Proceedings of the 4th Workshop on Machine Learning and Systems, EuroMLSys 2024, Athens, Greece, 22 April 2024 EuroMLSys@EuroSys (2024)
Kouider Chadli, Goetz Botterweck, Takfarinas Saber
The Environmental Cost of Engineering Machine Learning-Enabled Systems: A Mapping Study. EuroMLSys@EuroSys (2024)
Konstantinos Papaioannou, Thaleia Dimitra Doudali
The Importance of Workload Choice in Evaluating LLM Inference Systems. EuroMLSys@EuroSys (2024)
Ties Robroek, Ehsan Yousefzadeh-Asl-Miandoab, Pinar Tözün
An Analysis of Collocation on GPUs for Deep Learning Training. EuroMLSys@EuroSys (2024)
Abir Chebbi, Guido Kniesel, Nabil Abdennadher, Giovanna Dimarzo
Enhancing Named Entity Recognition for Agricultural Commodity Monitoring with Large Language Models. EuroMLSys@EuroSys (2024)
Kamran Razavi, Saeid Ghafouri, Max Mühlhäuser, Pooyan Jamshidi, Lin Wang
Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling. EuroMLSys@EuroSys (2024)
Keshav Santhanam, Deepti Raghavan, Muhammad Shahir Rahman, Thejas Venkatesh, Neha Kunjal, Pratiksha Thaker, Philip Alexander Levis, Matei Zaharia
ALTO: An Efficient Network Orchestrator for Compound AI Systems. EuroMLSys@EuroSys (2024)
Zeling Zhang, Dongqi Cai, Yiran Zhang, Mengwei Xu, Shangguang Wang, Ao Zhou
FedRDMA: Communication-Efficient Cross-Silo Federated LLM via Chunked RDMA Transmission. EuroMLSys@EuroSys (2024)
Houssem Eddine Souid, Lucas Ody, Youssef Achenchabe, Valentin Lemaire, Gianmarco Aversano, Sabri Skhiri
Temporal Graph Generative Models: An empirical study. EuroMLSys@EuroSys (2024)
Georgia Christofidi, Thaleia Dimitra Doudali
Do Predictors for Resource Overcommitment Even Predict? EuroMLSys@EuroSys (2024)
Pol G. Recasens, Yue Zhu, Chen Wang, Eun Kyung Lee, Olivier Tardieu, Alaa Youssef, Jordi Torres, Josep Lluis Berral
Towards Pareto Optimal Throughput in Small Language Model Serving. EuroMLSys@EuroSys (2024)
Ahmed Menshawy, Zeeshan Nawaz, Mahmoud Fahmy
Navigating Challenges and Technical Debt in Large Language Models Deployment. EuroMLSys@EuroSys (2024)
Neil Hurley, Erika Duriakova, James Geraci, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Barry Smyth, Aonghus Lawlor
ALS Algorithm for Robust and Communication-Efficient Federated Learning. EuroMLSys@EuroSys (2024)
Taiyi Wang, Eiko Yoneki
IA2: Leveraging Instance-Aware Index Advisor with Reinforcement Learning for Diverse Workloads. EuroMLSys@EuroSys (2024)
Connor Espenshade, Rachel Peng, Eumin Hong, Max Calman, Yue Zhu, Pritish Parida, Eun Kyung Lee, Martha A. Kim
Characterizing Training Performance and Energy for Foundation Models and Image Classifiers on Multi-Instance GPUs. EuroMLSys@EuroSys (2024)
Bradley Aldous, Ahmed M. Abdelmoniem
Comparative Profiling: Insights Into Latent Diffusion Model Training. EuroMLSys@EuroSys (2024)
Hamid Ghasemirahni, Alireza Farshin, Mariano Scazzariello, Marco Chiesa, Dejan Kostic
Deploying Stateful Network Functions Efficiently using Large Language Models. EuroMLSys@EuroSys (2024)
Sandra Deepthy Siby, Sina Abdollahi, Mohammad Maheri, Marios Kogias, Hamed Haddadi
GuaranTEE: Towards Attestable and Private ML with CCA. EuroMLSys@EuroSys (2024)

2023

2022

Deepak-George Thomas, Tichakorn Wongpiromsarn, Ali Jannesari
Temporal shift reinforcement learning. EuroMLSys@EuroSys (2022)