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Scheduling

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Showing 1051–1100 of 3104 papers

TitleStatusHype
Transition Rate Scheduling for Quantization-Aware Training—0
Q-Newton: Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient DescentCode0
A Knowledge-driven Memetic Algorithm for the Energy-efficient Distributed Homogeneous Flow Shop Scheduling Problem—0
Personalized Federated Learning via Sequential Layer Expansion in Representation Learning—0
Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing—0
Improving TAS Adaptability with a Variable Temperature Threshold—0
Timely Communications for Remote Inference—0
Age of Information Minimization using Multi-agent UAVs based on AI-Enhanced Mean Field Resource Allocation—0
Digital Twin of Industrial Networked Control System based on Value of Information—0
Learning Word Embedding with Better Distance Weighting and Window Size Scheduling—0
FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks—0
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories—0
Graph Coloring Using Heat DiffusionCode0
Grid-aware Scheduling and Control of Electric Vehicle Charging Stations for Dispatching Active Distribution Networks. Part-I: Day-ahead and Numerical Validation—0
Grid-aware Scheduling and Control of Electric Vehicle Charging Stations for Dispatching Active Distribution Networks. Part-II: Intra-day and Experimental Validation—0
Contract Scheduling with Distributional and Multiple Advice—0
Unknown Interference Modeling for Rate Adaptation in Cell-Free Massive MIMO Networks—0
FastFace: Fast-converging Scheduler for Large-scale Face Recognition Training with One GPUCode0
A Model Predictive Control Scheme for Flight Scheduling and Energy Management of Electric Aviation Networks—0
Deep Reinforcement Learning based Online Scheduling Policy for Deep Neural Network Multi-Tenant Multi-Accelerator Systems—0
Regularized Gradient Clipping Provably Trains Wide and Deep Neural NetworksCode0
Optimal EV Charging Scheduling at Electric Railway Stations Under Peak Load Constraints—0
High Noise Scheduling is a Must—0
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey—0
Exploring Quantization and Mapping Synergy in Hardware-Aware Deep Neural Network AcceleratorsCode0
Enhance Low-Carbon Power System Operation via Carbon-Aware Demand Response—0
The Case for Developing a Foundation Model for Planning-like Tasks from Scratch—0
A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis—0
Formulating the Restoration of Distribution Networks as a Multiple Traveling Salesman Problem—0
Joint Optimization on Uplink OFDMA and MU-MIMO for IEEE 802.11ax: Deep Hierarchical Reinforcement Learning Approach—0
On the reduction of Linear Parameter-Varying State-Space models—0
Orchestrating UAVs for Prioritized Data Harvesting: A Cross-Layer Optimization Perspective—0
Beyond Suspension: A Two-phase Methodology for Concluding Sports Leagues—0
Gain-Only Neural Operators for PDE Backstepping—0
Impact of Employing Weather Forecast Data as Input to the Estimation of Evapotranspiration by Deep Neural Network Models—0
CoBOS: Constraint-Based Online Scheduler for Human-Robot CollaborationCode0
Intent-Aware DRL-Based NOMA Uplink Dynamic Scheduler for IIoTCode0
ALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching—0
Imitating Cost-Constrained Behaviors in Reinforcement LearningCode0
A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids—0
Decoupling parameter variation from noise: Biquadratic Lyapunov forms in data-driven LPV control—0
Scheduling Power-Intensive Operations of Battery Energy Storage Systems and Application to Hybrid Hydropower Plants—0
AIOS: LLM Agent Operating SystemCode0
Optimal Operation of Reconfigurable Active Distribution Networks Aiming at Resiliency Improvement—0
Semantic-Aware Remote Estimation of Multiple Markov Sources Under Constraints—0
L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction—0
Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling—0
A Codesign of Scheduling and Parallelization for Large Model Training in Heterogeneous Clusters—0
Ev-Edge: Efficient Execution of Event-based Vision Algorithms on Commodity Edge Platforms—0
Divide-Conquer Transformer Learning for Predicting Electric Vehicle Charging Events Using Smart Meter Data—0
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