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Distributed Computing

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Showing 26–50 of 379 papers

TitleStatusHype
Secure Resource Allocation via Constrained Deep Reinforcement Learning—0
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration—0
Distributed Mixture-of-Agents for Edge Inference with Large Language ModelsCode0
Computation-and-Communication Efficient Coordinated Multicast Beamforming in Massive MIMO Networks—0
A Survey on Inference Optimization Techniques for Mixture of Experts ModelsCode3
AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP—0
CrossVIT-augmented Geospatial-Intelligence Visualization System for Tracking Economic Development DynamicsCode0
Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning—0
Deep Learning, Machine Learning, Advancing Big Data Analytics and Management—0
Iterative Distributed Multinomial RegressionCode0
AI Benchmarks and Datasets for LLM Evaluation—0
Intelligent Spark Agents: A Modular LangGraph Framework for Scalable, Visualized, and Enhanced Big Data Machine Learning Workflows—0
Optimizing Airline Reservation Systems with Edge-Enabled Microservices: A Framework for Real-Time Data Processing and Enhanced User Responsiveness—0
Body-Resonance Human Body Communication—0
Online Parallel Multi-Task Relationship Learning via Alternating Direction Method of MultipliersCode0
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey—0
Flexible Coded Distributed Convolution Computing for Enhanced Fault Tolerance and Numerical Stability in Distributed CNNs—0
V2X-Assisted Distributed Computing and Control Framework for Connected and Automated Vehicles under Ramp Merging ScenarioCode0
Optimization and Application of Cloud-based Deep Learning Architecture for Multi-Source Data Prediction—0
Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates—0
Over-the-Air Federated Learning in Cell-Free MIMO with Long-term Power Constraint—0
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer—0
Accelerated Stochastic ExtraGradient: Mixing Hessian and Gradient Similarity to Reduce Communication in Distributed and Federated Learning—0
Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning—0
Stability of Primal-Dual Gradient Flow Dynamics for Multi-Block Convex Optimization Problems—0
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