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Distributed Computing

Papers

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Showing 101–150 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
A Multi-Batch L-BFGS Method for Machine Learning—0
Consensus learning: A novel decentralised ensemble learning paradigm—0
Accelerated, Scalable and Reproducible AI-driven Gravitational Wave Detection—0
Asynchronous Announcements—0
Conditions for Convergence in Regularized Machine Learning Objectives—0
Computing control invariant sets of nonlinear systems: decomposition and distributed computing—0
A Multi-Agent System Approach to Load-Balancing and Resource Allocation for Distributed Computing—0
Adaptive Explainable Neural Networks (AxNNs)—0
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey—0
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks—0
Computation-and-Communication Efficient Coordinated Multicast Beamforming in Massive MIMO Networks—0
Computational Tradeoffs in Biological Neural Networks: Self-Stabilizing Winner-Take-All Networks—0
ASYNC: A Cloud Engine with Asynchrony and History for Distributed Machine Learning—0
Computational Offloading in Semantic-Aware Cloud-Edge-End Collaborative Networks—0
Computationally Efficient Labeling of Cancer Related Forum Posts by Non-Clinical Text Information Retrieval—0
A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing—0
A MapReduce based Big-data Framework for Object Extraction from Mosaic Satellite Images—0
Compositional and Equilibrium-Free Conditions for Power System Stability -- Part II: Method and Application—0
Communication Efficient Parallel Algorithms for Optimization on Manifolds—0
Communication-Efficient Edge AI Inference Over Wireless Networks—0
A Survey on Dynamic Job Scheduling in Grid Environment Based on Heuristic Algorithms—0
Akid: A Library for Neural Network Research and Production from a Dataism Approach—0
Active Inference on the Edge: A Design Study—0
A Survey on Distributed Evolutionary Computation—0
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning—0
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