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Distributed Computing

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Showing 301–350 of 379 papers

TitleStatusHype
A Closer Look at Codistillation for Distributed Training—0
Active Inference on the Edge: A Design Study—0
Adaptive Explainable Neural Networks (AxNNs)—0
Adaptive rewiring of random neural networks generates convergent-divergent units—0
ADDAI: Anomaly Detection using Distributed AI—0
A Distributed Deep Representation Learning Model for Big Image Data Classification—0
A Droplet Approach Based on Raptor Codes for Distributed Computing With Straggling Servers—0
Advancing Intra-operative Precision: Dynamic Data-Driven Non-Rigid Registration for Enhanced Brain Tumor Resection in Image-Guided Neurosurgery—0
A Generalization of Arrow's Impossibility Theorem Through Combinatorial Topology—0
AI Benchmarks and Datasets for LLM Evaluation—0
AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP—0
AIMD scheduling and resource allocation in distributed computing systems—0
Akid: A Library for Neural Network Research and Production from a Dataism Approach—0
A MapReduce based Big-data Framework for Object Extraction from Mosaic Satellite Images—0
A Multi-Agent System Approach to Load-Balancing and Resource Allocation for Distributed Computing—0
A Multi-Batch L-BFGS Method for Machine Learning—0
Analog Lagrange Coded Computing—0
An Asynchronous Mini-Batch Algorithm for Regularized Stochastic Optimization—0
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee—0
A partial order view of message-passing communication models—0
A Periodicity-based Parallel Time Series Prediction Algorithm in Cloud Computing Environments—0
A Primer on Coordinate Descent Algorithms—0
A Robust Multi-Batch L-BFGS Method for Machine Learning—0
A Robust Real-Time Computing-based Environment Sensing System for Intelligent Vehicle—0
Artificial Intelligence (AI)-Centric Management of Resources in Modern Distributed Computing Systems—0
Artificial life, complex systems and cloud computing: a short review—0
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques—0
A Simplicial Model for KB4_n: Epistemic Logic with Agents that May Die—0
A smart resource management mechanism with trust access control for cloud computing environment—0
A Stochastic Large-scale Machine Learning Algorithm for Distributed Features and Observations—0
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments—0
A Survey on Distributed Evolutionary Computation—0
A Survey on Dynamic Job Scheduling in Grid Environment Based on Heuristic Algorithms—0
A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing—0
ASYNC: A Cloud Engine with Asynchrony and History for Distributed Machine Learning—0
Asynchronous Announcements—0
Asynchronous Neural Networks for Learning in Graphs—0
Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates—0
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications—0
Automata for Hyperlanguages—0
Automated Reasoning in Modal and Description Logics via SAT Encoding: the Case Study of K(m)/ALC-Satisfiability—0
Automatic Model Selection for Neural Networks—0
Balanced Multi-modal Federated Learning via Cross-Modal Infiltration—0
BanditWare: A Contextual Bandit-based Framework for Hardware Prediction—0
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration—0
Big Learning with Bayesian Methods—0
BigSR: an empirical study of real-time expressive RDF stream reasoning on modern Big Data platforms—0
BLCS: Brain-Like based Distributed Control Security in Cyber Physical Systems—0
Block CUR: Decomposing Matrices using Groups of Columns—0
Block-Diagonal and LT Codes for Distributed Computing With Straggling Servers—0
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