Shengping Zhou
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it
- Privacy & Security — 6 citations into it
Whom Shengping Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Shengping Zhou overall
Papers from Shengping Zhou's perspective
Ordered by how strongly the researchers Shengping Zhou trusts endorse each paper. Same corpus, a different order for every researcher.
- Large Scale Distributed Deep Networks
- Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
- Parallelized Stochastic Gradient Descent
- TensorFlow: A system for large-scale machine learning
- Scaling Distributed Machine Learning with the Parameter Server
- Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization
- Communication Efficient Distributed Machine Learning with the Parameter Server
- Optimal Distributed Online Prediction Using Mini-Batches
- Communication-Efficient Learning of Deep Networks from Decentralized Data
- Project Adam: Building an Efficient and Scalable Deep Learning Training System
Their papers
- FDML: A Collaborative Machine Learning Framework for Distributed Features (2019) — 196 citations