Distributed Machine Learning with a Serverless Architecture
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Hao Wang | Baochun Li | Di Niu | Baochun Li | Di Niu | Hao Wang
[1] Trishul M. Chilimbi,et al. Project Adam: Building an Efficient and Scalable Deep Learning Training System , 2014, OSDI.
[2] Minlan Yu,et al. CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics , 2017, NSDI.
[3] Alexander J. Smola,et al. Scaling Distributed Machine Learning with the Parameter Server , 2014, OSDI.
[4] Rubby Casallas,et al. Infrastructure Cost Comparison of Running Web Applications in the Cloud Using AWS Lambda and Monolithic and Microservice Architectures , 2016, 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid).
[5] Ion Stoica,et al. Occupy the cloud: distributed computing for the 99% , 2017, SoCC.
[6] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[7] Alexander J. Smola,et al. An architecture for parallel topic models , 2010, Proc. VLDB Endow..
[8] Andrea C. Arpaci-Dusseau,et al. Serverless Computation with OpenLambda , 2016, HotCloud.
[9] Anirudh Sivaraman,et al. Encoding, Fast and Slow: Low-Latency Video Processing Using Thousands of Tiny Threads , 2017, NSDI.
[10] Joseph K. Bradley,et al. Parallel Coordinate Descent for L1-Regularized Loss Minimization , 2011, ICML.
[11] Yijun Huang,et al. Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization , 2015, NIPS.
[12] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 2005, IEEE Transactions on Neural Networks.
[13] Michael J. Freedman,et al. SLAQ: quality-driven scheduling for distributed machine learning , 2017, SoCC.
[14] Seunghak Lee,et al. More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server , 2013, NIPS.
[15] Samy Bengio,et al. Device Placement Optimization with Reinforcement Learning , 2017, ICML.
[16] Jasper Snoek,et al. Practical Bayesian Optimization of Machine Learning Algorithms , 2012, NIPS.