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Distributed Computing

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Showing 101–125 of 379 papers

TitleStatusHype
Automatic Model Selection for Neural Networks—0
Automated Reasoning in Modal and Description Logics via SAT Encoding: the Case Study of K(m)/ALC-Satisfiability—0
An Asynchronous Mini-Batch Algorithm for Regularized Stochastic Optimization—0
Automata for Hyperlanguages—0
DANA: Scalable Out-of-the-box Distributed ASGD Without Retuning—0
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications—0
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness—0
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models—0
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models—0
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer—0
Analog Lagrange Coded Computing—0
Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows—0
DeepSense-V2V: A Vehicle-to-Vehicle Multi-Modal Sensing, Localization, and Communications Dataset—0
DeepSpark: A Spark-Based Distributed Deep Learning Framework for Commodity Clusters—0
Adaptive rewiring of random neural networks generates convergent-divergent units—0
Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing—0
Development details and computational benchmarking of DEPAM—0
Dimensionality Reduction Ensembles—0
Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates—0
Continuous K-Max Bandits—0
Distance-Guided GA-Based Approach to Distributed Data-Intensive Web Service Composition—0
DistrEE: Distributed Early Exit of Deep Neural Network Inference on Edge Devices—0
Constrained Multi-Objective Optimization for Automated Machine Learning—0
Distributed Beamforming Using Decentralized Time Synchronization in a Six-Element Array—0
Asynchronous Neural Networks for Learning in Graphs—0
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