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Distributed Computing

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Showing 251–300 of 379 papers

TitleStatusHype
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
Optuna: A Next-generation Hyperparameter Optimization FrameworkCode1
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
Evolutionary Neural AutoML for Deep LearningCode1
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
MMLSpark: Unifying Machine Learning Ecosystems at Massive ScalesCode3
Quantile Regression Under Memory Constraint—0
A Periodicity-based Parallel Time Series Prediction Algorithm in Cloud Computing Environments—0
A Bi-layered Parallel Training Architecture for Large-scale Convolutional Neural Networks—0
A System for Massively Parallel Hyperparameter TuningCode1
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
Robust Gradient Descent via Moment Encoding with LDPC Codes—0
Billion-scale Network Embedding with Iterative Random ProjectionCode0
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