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Distributed Computing

Papers

Showing 126150 of 379 papers

TitleStatusHype
Distributed sequential federated learning0
Distributed Swarm Intelligence0
A smart resource management mechanism with trust access control for cloud computing environment0
Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing0
Sequential Gradient Coding For Straggler Mitigation0
fseval: A Benchmarking Framework for Feature Selection and Feature Ranking AlgorithmsCode1
Block size estimation for data partitioning in HPC applications using machine learning techniques0
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks0
Distributed Computing for Scalable Optimal Power Flow in Large Radial Electric Power Distribution Systems with Distributed Energy Resources0
Distributed Graph Neural Network Training: A Survey0
A partial order view of message-passing communication models0
Distributed Estimation and Inference for Semi-parametric Binary Response Models0
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games0
Performance Evaluation of Query Plan Recommendation with Apache Hadoop and Apache Spark0
Unconventional application of k-means for distributed approximate similarity search0
Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules0
JAM: The JavaScript Agent Machine for Distributed Computing and Simulation with reactive and mobile Multi-agent Systems -- A Technical Report0
Scalable Differentially Private Clustering via Hierarchically Separated TreesCode0
Fault-Tolerant Collaborative Inference through the Edge-PRUNE Framework0
Communication-efficient distributed eigenspace estimation with arbitrary node failures0
Asynchronous Neural Networks for Learning in Graphs0
Multi-objective Optimization of Clustering-based Scheduling for Multi-workflow On Clouds Considering Fairness0
Distributed Optimization in Distribution Systems with Grid-Forming and Grid-Supporting Inverters0
MoESys: A Distributed and Efficient Mixture-of-Experts Training and Inference System for Internet ServicesCode0
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud ClustersCode0
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