Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: distributed training .
Scalable distributed DNN training using commodity GPU cloud computing.
Distributed Newton Methods for Deep Neural Networks
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Communication-Efficient Learning of Deep Networks from Decentralized Data
TicTac: Accelerating Distributed Deep Learning with Communication Scheduling
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
scaling up : distributed machine learning with cooperation .
Distributed Coordinate Descent Method for Learning with Big Data
Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting
Asynchronous Distributed Semi-Stochastic Gradient Optimization
Measuring the Effects of Data Parallelism on Neural Network Training
Demystifying Parallel and Distributed Deep Learning: An In-depth Concurrency Analysis
Scaling up machine learning: parallel and distributed approaches
Performance of Alternating Least Squares in a Distributed Approach Using GraphLab and MapReduce
High performance training of deep neural networks using pipelined hardware acceleration and distributed memory
Fast linear iterations for distributed averaging
Distributed Supervised Learning using Neural Networks
Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers
Federated Optimization:Distributed Optimization Beyond the Datacenter
communication - efficient distributed stochastic gradient descent with butterfly mixing .
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
Multi-view stacking for activity recognition with sound and accelerometer data
An intelligent personal assistant for task and time management
Lung Cancer Detection using Image Processing Techniques
Seeing Disorder: Neighborhood Stigma and the Social Construction of “Broken Windows”*