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Distributed Computing

Papers

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Showing 51–100 of 379 papers

TitleStatusHype
General Coded Computing in a Probabilistic Straggler Regime—0
Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing—0
Vehicular Multi-Tier Distributed Computing with Hybrid THz-RF Transmission in Satellite-Terrestrial Integrated Networks—0
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
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
Intelligent Spark Agents: A Modular LangGraph Framework for Scalable, Visualized, and Enhanced Big Data Machine Learning Workflows—0
AI Benchmarks and Datasets for LLM Evaluation—0
Iterative Distributed Multinomial RegressionCode0
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
Distributed quasi-Newton robust estimation under differential privacy—0
Heterogeneity: An Open Challenge for Federated On-board Machine Learning—0
Residual-INR: Communication Efficient On-Device Learning Using Implicit Neural RepresentationCode0
Distributed Memory Approximate Message Passing—0
Optimization of breeding program design through stochastic simulation with evolutionary algorithms—0
Correlations Are Ruining Your Gradient DescentCode0
Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding—0
Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engineCode0
DeepSense-V2V: A Vehicle-to-Vehicle Multi-Modal Sensing, Localization, and Communications Dataset—0
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level OptimizationCode0
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems—0
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework—0
Sparse L^1-Autoencoders for Scientific Data Compression—0
Logical Characterizations of Recurrent Graph Neural Networks with Reals and Floats—0
Privacy-aware Berrut Approximated Coded Computing for Federated Learning—0
FedCRL: Personalized Federated Learning with Contrastive Shared Representations for Label Heterogeneity in Non-IID Data—0
Trust Dynamics and Market Behavior in Cryptocurrency: A Comparative Study of Centralized and Decentralized ExchangesCode0
Securing O-RAN Open Interfaces—0
The intelligent prediction and assessment of financial information risk in the cloud computing model—0
Going Forward-Forward in Distributed Deep Learning—0
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning—0
Driving Intelligent IoT Monitoring and Control through Cloud Computing and Machine Learning—0
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques—0
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