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Showing 651–700 of 3104 papers

TitleStatusHype
A Dynamic Improvement Framework for Vehicular Task Offloading—0
FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models—0
HEART: Achieving Timely Multi-Model Training for Vehicle-Edge-Cloud-Integrated Hierarchical Federated Learning—0
Random-Key Algorithms for Optimizing Integrated Operating Room Scheduling—0
Modelling Activity Scheduling Behaviour with Deep Generative Machine Learning—0
Crossover-BPSO Driven Multi-Agent Technology for Managing Local Energy Systems—0
Split-Aperture Phased Array Radar Resource Management for Tracking Tasks—0
Integrating Cybersecurity in Predictive Cost-Benefit Power Scheduling: A DeepStack Model with Dynamic Defense Mechanism—0
HyGen: Efficient LLM Serving via Elastic Online-Offline Request Co-location—0
Enhanced SPS Velocity-adaptive Scheme: Access Fairness in 5G NR V2I NetworksCode0
Resource Allocation under the Latin Square Constraint—0
Automating Care by Self-maintainability for Full Laboratory Automation—0
A Bring-Your-Own-Model Approach for ML-Driven Storage Placement in Warehouse-Scale Computers—0
Network Diffuser for Placing-Scheduling Service Function Chains with Inverse Demonstration—0
CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and Motion Planning for Future Autonomous Mobility on Demand SystemsCode0
Low-Complexity Detection of Multiple Preambles in the Presence of Mobility and Delay Spread—0
Prediction-Assisted Online Distributed Deep Learning Workload Scheduling in GPU Clusters—0
TimeRL: Efficient Deep Reinforcement Learning with Polyhedral Dependence Graphs—0
Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling—0
Integrated Offline and Online Learning to Solve a Large Class of Scheduling Problems—0
DRL-Based Medium-Term Planning of Renewable-Integrated Self-Scheduling Cascaded Hydropower to Guide Wholesale Market ParticipationCode0
Optimizing Supply Chain Networks with the Power of Graph Neural Networks—0
From Dense to Sparse: Event Response for Enhanced Residential Load ForecastingCode0
TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms—0
Multi-Satellite Beam Hopping and Power Allocation Using Deep Reinforcement Learning—0
PDPTW-DB: MILP-Based Offline Route Planning for PDPTW with Driver Breaks—0
Timely Remote Estimation with Memory at the Receiver—0
Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review—0
Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training—0
FrugalNeRF: Fast Convergence for Extreme Few-shot Novel View Synthesis without Learned Priors—0
Joint Scheduling of Causal Prompts and Tasks for Multi-Task Learning—0
Advanced Scheduling of Electrolyzer Modules for Grid Flexibility—0
Movable Intelligent Surface (MIS) for Wireless Communications: Architecture, Modeling, Algorithm, and Prototyping—0
Tackling the Dynamicity in a Production LLM Serving System with SOTA Optimizations via Hybrid Prefill/Decode/Verify Scheduling on Efficient Meta-kernels—0
TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications—0
The behavioral approach for LPV data-driven representations—0
Betting vs. Trading: Learning a Linear Decision Policy for Selling Wind Power and Hydrogen—0
Power- and Fragmentation-aware Online Scheduling for GPU DatacentersCode0
Dynamic Scheduling Strategies for Resource Optimization in Computing Environments—0
Towards An Unsupervised Learning Scheme for Efficiently Solving Parameterized Mixed-Integer ProgramsCode0
An Age of Information Characterization of SPS for V2X Applications—0
Enhancing Diffusion Models for High-Quality Image Generation—0
Multi-UAV Collaborative Trajectory Planning for Seamless Data Collection and Transmission—0
TrainMover: An Interruption-Resilient and Reliable ML Training Runtime—0
LLM-DaaS: LLM-driven Drone-as-a-Service Operations from Text User Requests—0
AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP—0
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning—0
Explicit and Implicit Graduated Optimization in Deep Neural NetworksCode0
Introduction to AI Planning—0
Cluster-Based Multi-Agent Task Scheduling for Space-Air-Ground Integrated Networks—0
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