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Distributed Computing

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Showing 251–300 of 379 papers

TitleStatusHype
One-shot Distributed Ridge Regression in High Dimensions—0
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching—0
Communication-Efficient Local Decentralized SGD Methods—0
Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud—0
Constrained Multi-Objective Optimization for Automated Machine Learning—0
Resolvable Designs for Speeding up Distributed Computing—0
Multi-owner Secure Encrypted Search Using Searching Adversarial Networks—0
Distributed Deep Convolutional Neural Networks for the Internet-of-Things—0
Learning over inherently distributed data—0
Taming Momentum in a Distributed Asynchronous Environment—0
ASYNC: A Cloud Engine with Asynchrony and History for Distributed Machine Learning—0
What graph neural networks cannot learn: depth vs width—0
Mining Association Rules in Various Computing Environments: A Survey—0
Deploying AI Frameworks on Secure HPC Systems with Containers—0
Online Collection and Forecasting of Resource Utilization in Large-Scale Distributed Systems—0
Automatic Model Selection for Neural Networks—0
Deep Learning Acceleration Techniques for Real Time Mobile Vision Applications—0
Fast communication-efficient spectral clustering over distributed data—0
DANA: Scalable Out-of-the-box Distributed ASGD Without Retuning—0
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications—0
WONDER: Weighted one-shot distributed ridge regression in high dimensionsCode0
Energy-Efficient Edge-Facilitated Wireless Collaborative Computing using Map-ReduceCode0
Gradient Coding with Clustering and Multi-message Communication—0
Development details and computational benchmarking of DEPAM—0
Vector operations for accelerating expensive Bayesian computations -- a tutorial guideCode0
Quasi-Newton Methods for Machine Learning: Forget the Past, Just SampleCode0
Distributed Learning with Compressed Gradient Differences—0
DINGO: Distributed Newton-Type Method for Gradient-Norm OptimizationCode0
Distance-Guided GA-Based Approach to Distributed Data-Intensive Web Service Composition—0
Real-time cortical simulations: energy and interconnect scaling on distributed systemsCode0
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning—0
DLHub: Model and Data Serving for Science—0
Partitioned Variational Inference: A unified framework encompassing federated and continual learning—0
Distributed Gradient Descent with Coded Partial Gradient Computations—0
Toward Creating Subsurface Camera—0
Communication Efficient Parallel Algorithms for Optimization on Manifolds—0
Quantile Regression Under Memory Constraint—0
A Bi-layered Parallel Training Architecture for Large-scale Convolutional Neural Networks—0
A Periodicity-based Parallel Time Series Prediction Algorithm in Cloud Computing Environments—0
A Droplet Approach Based on Raptor Codes for Distributed Computing With Straggling Servers—0
Predicate learning in neural systems: Discovering latent generative structures—0
Towards automated neural design: An open source, distributed neural architecture research framework—0
Left Ventricle Segmentation and Volume Estimation on Cardiac MRI using Deep Learning—0
PARyOpt: A software for Parallel Asynchronous Remote Bayesian Optimization—0
A MapReduce based Big-data Framework for Object Extraction from Mosaic Satellite Images—0
On the Effect of Task-to-Worker Assignment in Distributed Computing Systems with Stragglers—0
Orchestral: a lightweight framework for parallel simulations of cell-cell communicationCode0
Holographic Automata for Ambient Immersive A. I. via Reservoir Computing—0
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process RegressionCode0
Predictive Performance Modeling for Distributed Computing using Black-Box Monitoring and Machine Learning—0
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