| Curse Or Redemption? How Data Heterogeneity Affects The Robustness Of Federated Learning | 0 | 0.34 | 2021 |
| Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning | 2 | 0.38 | 2021 |
| Gradient Compression Supercharged High-Performance Data Parallel DNN Training | 1 | 0.36 | 2021 |
| The Age of Correlated Features in Supervised Learning based Forecasting | 0 | 0.34 | 2021 |
| STEP: A Spatio-Temporal Fine-Granular User Traffic Prediction System for Cellular Networks | 0 | 0.34 | 2021 |
| BAASH: lightweight, efficient, and reliable blockchain-as-a-service for HPC systems | 1 | 0.34 | 2021 |
| Lunule: an agile and judicious metadata load balancer for CephFS | 0 | 0.34 | 2021 |
| Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression | 0 | 0.34 | 2021 |
| Batch: machine learning inference serving on serverless platforms with adaptive batching | 0 | 0.34 | 2020 |
| Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification | 0 | 0.34 | 2020 |
| Not All Explorations Are Equal: Harnessing Heterogeneous Profiling Cost for Efficient MLaaS Training | 1 | 0.35 | 2020 |
| BatchCrypt - Efficient Homomorphic Encryption for Cross-Silo Federated Learning. | 0 | 0.34 | 2020 |
| SEFEE: lightweight storage error forecasting in large-scale enterprise storage systems | 0 | 0.34 | 2020 |
| AutoGrow: automatic layer growing in deep convolutional networks | 1 | 0.40 | 2020 |
| It's not a Sprint, it's a Marathon: Stretching Multi-resource Burstable Performance in Public Clouds (industry track) | 0 | 0.34 | 2019 |
| Toward Cost-Effective Memory Scaling in Clouds: Symbiosis of Virtual and Physical Memory | 0 | 0.34 | 2018 |
| HyperDrive: exploring hyperparameters with POP scheduling. | 4 | 0.68 | 2017 |
| Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis. | 13 | 0.81 | 2012 |
| Efficient PageRank and SpMV Computation on AMD GPUs | 17 | 0.95 | 2010 |
