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Distributed Computing

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Showing 301–350 of 379 papers

TitleStatusHype
Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning—0
Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows—0
BigSR: an empirical study of real-time expressive RDF stream reasoning on modern Big Data platforms—0
Flexible and Scalable Deep Learning with MMLSparkCode3
Fundamental Resource Trade-offs for Encoded Distributed Optimization—0
A Stochastic Large-scale Machine Learning Algorithm for Distributed Features and Observations—0
Block-Diagonal and LT Codes for Distributed Computing With Straggling Servers—0
Achieving the time of 1-NN, but the accuracy of k-NNCode0
Coded Distributed Computing for Inverse Problems—0
Modular Resource Centric Learning for Workflow Performance Prediction—0
DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization—0
Dimensionality Reduction Ensembles—0
Distributed Very Large Scale Bundle Adjustment by Global Camera Consensus—0
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization—0
Distributed Deep Neural Networks over the Cloud, the Edge and End DevicesCode1
Artificial life, complex systems and cloud computing: a short review—0
Parallelizing Over Artificial Neural Network Training Runs with MultigridCode0
A Robust Multi-Batch L-BFGS Method for Machine Learning—0
Proceedings Sixteenth Conference on Theoretical Aspects of Rationality and Knowledge—0
Remote sensing of forests using discrete return airborne LiDAR—0
Asynchronous Announcements—0
Time Series Prediction for Graphs in Kernel and Dissimilarity SpacesCode0
A Security Monitoring Framework For Virtualization Based HEP InfrastructuresCode0
Parallelized Kendall's Tau Coefficient Computation via SIMD Vectorized Sorting On Many-Integrated-Core Processors—0
Block CUR: Decomposing Matrices using Groups of Columns—0
Large Scale Evolution of Convolutional Neural Networks Using Volunteer Computing—0
Easily parallelizable and distributable class of algorithms for structured sparsity, with optimal accelerationCode0
Akid: A Library for Neural Network Research and Production from a Dataism Approach—0
FolksoDrivenCloud: an annotation and process application for social collaborative networking—0
Distributed Real-Time Sentiment Analysis for Big Data Social Streams—0
Feature-distributed sparse regression: a screen-and-clean approach—0
Short-Dot: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products—0
Online Learning for Wireless Distributed Computing—0
CoCoA: A General Framework for Communication-Efficient Distributed OptimizationCode0
Optimization for Large-Scale Machine Learning with Distributed Features and ObservationsCode0
Computational Tradeoffs in Biological Neural Networks: Self-Stabilizing Winner-Take-All Networks—0
A Primer on Coordinate Descent Algorithms—0
Horn: A System for Parallel Training and Regularizing of Large-Scale Neural Networks—0
Distributed Graph Clustering by Load Balancing—0
Encoding Cryptographic Functions to SAT Using Transalg SystemCode0
A Distributed Deep Representation Learning Model for Big Image Data Classification—0
Proceedings Fifteenth Conference on Theoretical Aspects of Rationality and Knowledge—0
Towards Anthropo-inspired Computational Systems: the P^3 Model—0
A Multi-Batch L-BFGS Method for Machine Learning—0
LOH and behold: Web-scale visual search, recommendation and clustering using Locally Optimized Hashing—0
DeepSpark: A Spark-Based Distributed Deep Learning Framework for Commodity Clusters—0
Real-Time Community Detection in Large Social Networks on a LaptopCode0
NodIO, a JavaScript framework for volunteer-based evolutionary algorithms : first results—0
Fast Distributed k-Center Clustering with Outliers on Massive Data—0
Staleness-aware Async-SGD for Distributed Deep LearningCode0
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