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Distributed Computing

Papers

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Showing 51–100 of 379 papers

TitleStatusHype
MoESys: A Distributed and Efficient Mixture-of-Experts Training and Inference System for Internet ServicesCode0
MLitB: Machine Learning in the BrowserCode0
Time Series Prediction for Graphs in Kernel and Dissimilarity SpacesCode0
Tree-Guided L_1-Convex ClusteringCode0
Communication-Efficient Distributed SVD via Local Power IterationsCode0
Real-Time Community Detection in Large Social Networks on a LaptopCode0
Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum SystemsCode0
Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation AnalysisCode0
Communication-efficient distributed eigenspace estimationCode0
Improving Response Time of Home IoT Services in Federated LearningCode0
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process RegressionCode0
Billion-scale Network Embedding with Iterative Random ProjectionCode0
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous EnvironmentsCode0
Iterative Distributed Multinomial RegressionCode0
Orchestral: a lightweight framework for parallel simulations of cell-cell communicationCode0
FleetXCode0
CoCoA: A General Framework for Communication-Efficient Distributed OptimizationCode0
Energy-Efficient Edge-Facilitated Wireless Collaborative Computing using Map-ReduceCode0
Easily parallelizable and distributable class of algorithms for structured sparsity, with optimal accelerationCode0
Achieving the time of 1-NN, but the accuracy of k-NNCode0
Efficient MPI-based Communication for GPU-Accelerated Dask ApplicationsCode0
Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engineCode0
A Security Monitoring Framework For Virtualization Based HEP InfrastructuresCode0
Encoding Cryptographic Functions to SAT Using Transalg SystemCode0
Distributed bundle adjustment with block-based sparse matrix compression for super large scale datasetsCode0
DINGO: Distributed Newton-Type Method for Gradient-Norm OptimizationCode0
Distributed Bayesian Matrix Decomposition for Big Data Mining and ClusteringCode0
Correlations Are Ruining Your Gradient DescentCode0
Computing High Accuracy Power Spectra with PicoCode0
CrossVIT-augmented Geospatial-Intelligence Visualization System for Tracking Economic Development DynamicsCode0
Architectural Vision for Quantum Computing in the Edge-Cloud ContinuumCode0
Hulk: Graph Neural Networks for Optimizing Regionally Distributed Computing SystemsCode0
Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed AccelerationsCode0
Distributed Mixture-of-Agents for Edge Inference with Large Language ModelsCode0
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional SystemsCode0
Parallelizing Over Artificial Neural Network Training Runs with MultigridCode0
BigSR: an empirical study of real-time expressive RDF stream reasoning on modern Big Data platforms—0
A Primer on Coordinate Descent Algorithms—0
Big Learning with Bayesian Methods—0
A Periodicity-based Parallel Time Series Prediction Algorithm in Cloud Computing Environments—0
A Distributed Deep Representation Learning Model for Big Image Data Classification—0
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration—0
A partial order view of message-passing communication models—0
BanditWare: A Contextual Bandit-based Framework for Hardware Prediction—0
Balanced Multi-modal Federated Learning via Cross-Modal Infiltration—0
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee—0
ADDAI: Anomaly Detection using Distributed AI—0
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
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