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Distributed Computing

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Showing 326–350 of 379 papers

TitleStatusHype
Resource Aware Multifidelity Active Learning for Efficient Optimization—0
Revolutionizing Disease Diagnosis: A Microservices-Based Architecture for Privacy-Preserving and Efficient IoT Data Analytics Using Federated Learning—0
Energy-Efficient Edge-Facilitated Wireless Collaborative Computing using Map-ReduceCode0
Asynchronous and Distributed Data Augmentation for Massive Data SettingsCode0
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning:A Systematic StudyCode0
V2X-Assisted Distributed Computing and Control Framework for Connected and Automated Vehicles under Ramp Merging ScenarioCode0
Encoding Cryptographic Functions to SAT Using Transalg SystemCode0
Improving Response Time of Home IoT Services in Federated LearningCode0
Time Series Prediction for Graphs in Kernel and Dissimilarity SpacesCode0
A Security Monitoring Framework For Virtualization Based HEP InfrastructuresCode0
Iterative Distributed Multinomial RegressionCode0
Orchestral: a lightweight framework for parallel simulations of cell-cell communicationCode0
Quasi-Newton Methods for Machine Learning: Forget the Past, Just SampleCode0
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End DevicesCode0
Parallelizing Over Artificial Neural Network Training Runs with MultigridCode0
Vector operations for accelerating expensive Bayesian computations -- a tutorial guideCode0
Correlations Are Ruining Your Gradient DescentCode0
RankMap: A Platform-Aware Framework for Distributed Learning from Dense DatasetsCode0
Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed AccelerationsCode0
Efficient MPI-based Communication for GPU-Accelerated Dask ApplicationsCode0
Clustered Federated Learning via Generalized Total Variation MinimizationCode0
Easily parallelizable and distributable class of algorithms for structured sparsity, with optimal accelerationCode0
Architectural Vision for Quantum Computing in the Edge-Cloud ContinuumCode0
Distributed Mixture-of-Agents for Edge Inference with Large Language ModelsCode0
Achieving the time of 1-NN, but the accuracy of k-NNCode0
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