Abstract is missing.
- DPD-InfoGAN: Differentially Private Distributed InfoGANVaikkunth Mugunthan, Vignesh Gokul, Lalana Kagal, Shlomo Dubnov. 1-6 [doi]
- Towards Optimal Configuration of MicroservicesGagan Somashekar, Anshul Gandhi. 7-14 [doi]
- DistIR: An Intermediate Representation for Optimizing Distributed Neural NetworksKeshav Santhanam, Siddharth Krishna, Ryota Tomioka, Andrew W. Fitzgibbon, Tim Harris 0002. 15-23 [doi]
- Towards a General Framework for ML-based Self-tuning DatabasesThomas Schmied, Diego Didona, Andreas C. Döring, Thomas P. Parnell, Nikolas Ioannou. 24-30 [doi]
- Predicting CPU usage for proactive autoscalingThomas Wang, Simone Ferlin, Marco Chiesa. 31-38 [doi]
- Are we there yet? Estimating Training Time for Recommendation SystemsIulia Paun, Yashar Moshfeghi, Nikos Ntarmos. 39-47 [doi]
- Queen Jane Approximately: Enabling Efficient Neural Network Inference with Context-AdaptivityOctavian Machidon, Davor Sluga, Veljko Pejovic. 48-54 [doi]
- AutoAblation: Automated Parallel Ablation Studies for Deep LearningSina Sheikholeslami, Moritz Meister, TianZe Wang, Amir H. Payberah, Vladimir Vlassov, Jim Dowling. 55-61 [doi]
- Vate: Runtime Adaptable Probabilistic Programming for JavaDaniel Goodman, Adam Craig Pocock, Jason Peck, Guy L. Steele Jr.. 62-69 [doi]
- μNAS: Constrained Neural Architecture Search for MicrocontrollersEdgar Liberis, Lukasz Dudziak, Nicholas D. Lane. 70-79 [doi]
- Interference-Aware Scheduling for Inference ServingDaniel Mendoza, Francisco Romero, Qian Li, Neeraja J. Yadwadkar, Christos Kozyrakis. 80-88 [doi]
- DISC: A Dynamic Shape Compiler for Machine Learning WorkloadsK. Zhu, W. Y. Zhao, Z. Zheng, T. Y. Guo, P. Z. Zhao, J. J. Bai, J. Yang, X. Y. Liu, L. S. Diao, W. Lin. 89-95 [doi]
- Towards Mitigating Device Heterogeneity in Federated Learning via Adaptive Model QuantizationAhmed M. Abdelmoniem, Marco Canini. 96-103 [doi]
- Fast Optimisation of Convolutional Neural Network Inference using System Performance ModelsRik Mulder, Valentin Radu, Christophe Dubach. 104-110 [doi]
- High-Dimensional Bayesian Optimization with Multi-Task Learning for RocksDBSami Alabed, Eiko Yoneki. 111-119 [doi]
- Developing a Siamese Network for Intrusion Detection SystemsHanan Hindy, Christos Tachtatzis, Robert C. Atkinson, Ethan Bayne, Xavier J. A. Bellekens. 120-126 [doi]