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Distributed Computing

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Showing 151–200 of 379 papers

TitleStatusHype
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
Robust Gradient Descent via Moment Encoding with LDPC Codes—0
Robust Multi-Agent Multi-Armed Bandits—0
Meta-Computing Enhanced Federated Learning in IIoT: Satisfaction-Aware Incentive Scheme via DRL-Based Stackelberg Game—0
Scalable and Hybrid Ensemble-Based Causality Discovery—0
Scalable Differentially Private Clustering via Hierarchically Separated Trees—0
Scalable Teacher Forcing Network for Semi-Supervised Large Scale Data Streams—0
Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules—0
Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case—0
Secure Resource Allocation via Constrained Deep Reinforcement Learning—0
Securing O-RAN Open Interfaces—0
MoESys: A Distributed and Efficient Mixture-of-Experts Training and Inference System for Internet Services—0
Sequential Gradient Coding For Straggler Mitigation—0
Short-Dot: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products—0
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities—0
Simplicial Models for the Epistemic Logic of Faulty Agents—0
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective—0
SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks—0
SnapMode: An Intelligent and Distributed Large-Scale Fashion Image Retrieval Platform Based On Big Data and Deep Generative Adversarial Network Technologies—0
Solving Billion-Scale Knapsack Problems—0
Sparse L^1-Autoencoders for Scientific Data Compression—0
Splash: User-friendly Programming Interface for Parallelizing Stochastic Algorithms—0
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems—0
Stability of Primal-Dual Gradient Flow Dynamics for Multi-Block Convex Optimization Problems—0
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction—0
Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization—0
STORM: Foundations of End-to-End Empirical Risk Minimization on the Edge—0
Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case—0
Structural biology in the clouds: The WeNMR-EOSC Ecosystem—0
Structure-Aware Dynamic Scheduler for Parallel Machine Learning—0
Supporting the development of Machine Learning for fundamental science in a federated Cloud with the AI_INFN platform—0
Surrogate-assisted distributed swarm optimisation for computationally expensive geoscientific models—0
Tag-Weighted Topic Model For Large-scale Semi-Structured Documents—0
Taming Momentum in a Distributed Asynchronous Environment—0
The Giving Game—0
The intelligent prediction and assessment of financial information risk in the cloud computing model—0
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning—0
Toward Creating Subsurface Camera—0
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