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ORCID2nd EuroMLSys@EuroSys 2022: Rennes, France
- Eiko Yoneki, Luigi Nardi:
EuroMLSys '22: Proceedings of the 2nd European Workshop on Machine Learning and Systems, Rennes, France, April 5 - 8, 2022. ACM 2022, ISBN 978-1-4503-9254-9 - Ahmed M. Abdelmoniem
, Chen-Yu Ho, Pantelis Papageorgiou, Marco Canini:
Empirical analysis of federated learning in heterogeneous environments. 1-9 - Shay Vargaftik, Yaniv Ben-Itzhak:
Efficient multiclass classification with duet. 10-19 - Haoran Qiu, Weichao Mao, Archit Patke, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer:
Reinforcement learning for resource management in multi-tenant serverless platforms. 20-28 - Mengying Zhou, Zheng Li, Shihan Lin, Xin Wang, Yang Chen:
FlexHTTP: an intelligent and scalable HTTP version selection system. 29-36 - Guilherme H. Apostolo, Pablo Bauszat, Vinod Nigade, Henri E. Bal, Lin Wang:
Live video analytics as a service. 37-44 - Sami Alabed, Eiko Yoneki:
BoGraph: structured bayesian optimization from logs for expensive systems with many parameters. 45-53 - Filip Svoboda, Javier Fernández-Marqués, Edgar Liberis, Nicholas D. Lane:
Deep learning on microcontrollers: a study on deployment costs and challenges. 54-63 - Davide Sanvito, Giuseppe Siracusano, Sharan Santhanam, Roberto Gonzalez, Roberto Bifulco:
syslrn: learning what to monitor for efficient anomaly detection. 64-71 - Hongrui Shi, Valentin Radu:
Data selection for efficient model update in federated learning. 72-78 - Yibo Guo, An Wang:
dSyncPS: delayed synchronization for dynamic deployment of distributed machine learning. 79-86 - Nasrullah Sheikh, Xiao Qin, Berthold Reinwald, Chuan Lei:
Scaling knowledge graph embedding models for link prediction. 87-94 - Deepak-George Thomas, Tichakorn Wongpiromsarn, Ali Jannesari:
Temporal shift reinforcement learning. 95-100 - Kai-Hsun Chen, Huan-Ping Su, Wei-Chiu Chuang, Hung-Chang Hsiao, Wangda Tan, Zhankun Tang, Xun Liu, Yanbo Liang, Wen-Chih Lo, Wanqiang Ji, Byron Hsu, Keqiu Hu, HuiYang Jian, Quan Zhou, Chien-Min Wang:
Apache submarine: a unified machine learning platform made simple. 101-108 - Muhammad Sabih, Frank Hannig, Jürgen Teich:
DyFiP: explainable AI-based dynamic filter pruning of convolutional neural networks. 109-115
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