| 2020-10-18 |
Machine Learning Frameworks |
linxuyalun |
- Clipper: A Low-Latency Online Prediction Serving System (Daniel Crankshaw, Xin Wang, and Guilio Zhou, *University of California, Berkeley*; Michael J. Franklin, *University of California, Berkeley, and The University of Chicago*; Joseph E. Gonzalez and Ion Stoica, University of California, Berkeley) [NSDI'17]
- Ray: A Distributed Framework for Emerging AI Applications (Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I. Jordan, and Ion Stoica, UC Berkeley) [OSDI '18]
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| Map Reduce |
c1 |
- MapReduce (Jeffrey Dean and Sanjay Ghemawat) [OSDI '04]
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| Deep Learning |
aak1247 |
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| 2020-10-26 |
GAN |
aak1247 |
- Generative Adversarial Nets (Ian J. Goodfellow, Jean Pouget-Abadiey, Mehdi Mirza, Bing Xu, David Warde-Farley,
Sherjil Ozairz, Aaron Courville, Yoshua Bengio) [NIPS Proceedings 2014]
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| RDD |
c1 |
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| Stream Processing |
linxuyalun |
- Turbine: Facebook’s Service Management Platform
for Stream Processing (Yuan Mei, Luwei Cheng, Vanish Talwar, Michael Y. Levin, Gabriela Jacques-Silva, Nikhil Simha, Anirban Banerjee, Brian Smith, Tim Williamson, Serhat Yilmaz, Weitao Chen, and Guoqiang Jerry Chen) [ICDE '20]
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| 2020-11-10 |
Stream Processing |
linxuyalun |
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| Federated Learning |
Vander Chen |
- Federated Learning in Mobile Edge Networks: A Comprehensive Survey (Lim, Wei Yang Bryan, Nguyen Cong Luong, Dinh Thai Hoang, Yutao Jiao, Ying-Chang Liang, Qiang Yang, Dusit Niyato, and Chunyan Miao) [IEEE Communications Surveys & Tutorials 2020]
- Federated Machine Learning: Concept and Applications (Yang, Qiang, Yang Liu, Tianjian Chen, and Yongxin Tong) [ACM Transactions on Intelligent Systems and Technology 2019]
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| TSDB |
c1 |
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