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Scheduling

Project or Job Scheduling

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Showing 751–775 of 3104 papers

TitleStatusHype
Large Language Models for Power Scheduling: A User-Centric ApproachCode1
A Two-stage Reinforcement Learning-based Approach for Multi-entity Task AllocationCode1
Teola: Towards End-to-End Optimization of LLM-based ApplicationsCode2
Towards Secure and Efficient Data Scheduling for Vehicular Social Networks—0
Explore as a Storm, Exploit as a Raindrop: On the Benefit of Fine-Tuning Kernel Schedulers with Coordinate DescentCode0
Chat AI: A Seamless Slurm-Native Solution for HPC-Based ServicesCode2
Optimized Waveform Design for OFDM-based ISAC Systems Under Limited Resource Occupancy—0
Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning—0
Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks—0
Automatic AI Model Selection for Wireless Systems: Online Learning via Digital TwinningCode0
EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and VotingCode2
RankAdaptor: Hierarchical Rank Allocation for Efficient Fine-Tuning Pruned LLMs via Performance Model—0
GOAL: A Generalist Combinatorial Optimization Agent LearningCode1
Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach—0
Cost-Effective RF Fingerprinting Based on Hybrid CVNN-RF Classifier with Automated Multi-Dimensional Early-Exit Strategy—0
Resource Optimization for Tail-Based Control in Wireless Networked Control Systems—0
CascadeServe: Unlocking Model Cascades for Inference Serving—0
Graph Neural Networks for Job Shop Scheduling Problems: A Survey—0
To Clip or not to Clip: the Dynamics of SGD with Gradient Clipping in High-DimensionsCode0
Distributed Stochastic Gradient Descent with Staleness: A Stochastic Delay Differential Equation Based Framework—0
Towards Unified AI Models for MU-MIMO Communications: A Tensor Equivariance Framework—0
Optimizing Large Model Training through Overlapped Activation Recomputation—0
Optimizing Container Loading and Unloading through Dual-Cycling and Dockyard Rehandle Reduction Using a Hybrid Genetic Algorithm—0
Resource Allocation and Workload Scheduling for Large-Scale Distributed Deep Learning: A Survey—0
Optimal Scheduling of Battery Storage Systems in the Swedish Multi-FCR Market Incorporating Battery Degradation and Technical Requirements—0
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