SOTAVerified

Distributed Computing

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 379 papers

TitleStatusHype
Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures—0
Centroid Approximation for Byzantine-Tolerant Federated Learning—0
BanditWare: A Contextual Bandit-based Framework for Hardware Prediction—0
Accessibility Barriers in Multi-Terabyte Public Datasets: The Gap Between Promise and Practice—0
Compositional and Equilibrium-Free Conditions for Power System Stability -- Part II: Method and Application—0
Distributed Beamforming Using Decentralized Time Synchronization in a Six-Element Array—0
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware—0
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey—0
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End DevicesCode0
Enhancing Variable Selection in Large-scale Logistic Regression: Leveraging Manual Labeling with Beneficial Noise—0
You Don't Need All Attentions: Distributed Dynamic Fine-Tuning for Foundation Models—0
Tree-Guided L_1-Convex ClusteringCode0
Distributed LLMs and Multimodal Large Language Models: A Survey on Advances, Challenges, and Future DirectionsCode1
Goal-oriented Spectrum Sharing: Trading Edge Inference Power for Data Streaming Performance—0
Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association—0
Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum SystemsCode0
Supporting the development of Machine Learning for fundamental science in a federated Cloud with the AI_INFN platform—0
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments—0
Evolutionary Algorithms Approach For Search Based On Semantic Document Similarity—0
Continuous K-Max Bandits—0
Meta-Computing Enhanced Federated Learning in IIoT: Satisfaction-Aware Incentive Scheme via DRL-Based Stackelberg Game—0
DistrEE: Distributed Early Exit of Deep Neural Network Inference on Edge Devices—0
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
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
Show:102550
← PrevPage 1 of 8Next →

No leaderboard results yet.