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Distributed Computing

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Showing 101–150 of 379 papers

TitleStatusHype
Randomized Polar Codes for Anytime Distributed Machine Learning—0
Revolutionizing Disease Diagnosis: A Microservices-Based Architecture for Privacy-Preserving and Efficient IoT Data Analytics Using Federated Learning—0
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction—0
Advancing Intra-operative Precision: Dynamic Data-Driven Non-Rigid Registration for Enhanced Brain Tumor Resection in Image-Guided Neurosurgery—0
Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks—0
Iterative Sketching for Secure Coded Regression—0
Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case—0
Distributed bundle adjustment with block-based sparse matrix compression for super large scale datasetsCode0
On Collaboration in Distributed Parameter Estimation with Resource Constraints—0
Towards a Better Theoretical Understanding of Independent Subnetwork Training—0
Graph Convolution Based Efficient Re-Ranking for Visual RetrievalCode1
Quasi-Newton Updating for Large-Scale Distributed Learning—0
Architectural Vision for Quantum Computing in the Edge-Cloud ContinuumCode0
Federated and distributed learning applications for electronic health records and structured medical data: A scoping review—0
A Survey on Distributed Evolutionary Computation—0
Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed AccelerationsCode0
Implementing Dynamic Programming in Computability Logic Web—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
When Evolutionary Computation Meets Privacy—0
Folding@home: achievements from over twenty years of citizen science herald the exascale era—0
Hulk: Graph Neural Networks for Optimizing Regionally Distributed Computing SystemsCode0
DISCO: Distributed Inference with Sparse Communications—0
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective—0
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities—0
Distributed sequential federated learning—0
Distributed Swarm Intelligence—0
A smart resource management mechanism with trust access control for cloud computing environment—0
Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing—0
Sequential Gradient Coding For Straggler Mitigation—0
fseval: A Benchmarking Framework for Feature Selection and Feature Ranking AlgorithmsCode1
Block size estimation for data partitioning in HPC applications using machine learning techniques—0
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks—0
Distributed Computing for Scalable Optimal Power Flow in Large Radial Electric Power Distribution Systems with Distributed Energy Resources—0
Distributed Graph Neural Network Training: A Survey—0
A partial order view of message-passing communication models—0
Distributed Estimation and Inference for Semi-parametric Binary Response Models—0
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games—0
Performance Evaluation of Query Plan Recommendation with Apache Hadoop and Apache Spark—0
Unconventional application of k-means for distributed approximate similarity search—0
Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules—0
JAM: The JavaScript Agent Machine for Distributed Computing and Simulation with reactive and mobile Multi-agent Systems -- A Technical Report—0
Scalable Differentially Private Clustering via Hierarchically Separated TreesCode0
Fault-Tolerant Collaborative Inference through the Edge-PRUNE Framework—0
Communication-efficient distributed eigenspace estimation with arbitrary node failures—0
Asynchronous Neural Networks for Learning in Graphs—0
Multi-objective Optimization of Clustering-based Scheduling for Multi-workflow On Clouds Considering Fairness—0
Distributed Optimization in Distribution Systems with Grid-Forming and Grid-Supporting Inverters—0
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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